Prof. Dr. Andreas Maier

Our research interests focuses on medical imaging, image and audio processing, digital humanities, and interpretable machine learning and the use of known operators.

Research projects

Image Analysis and Fusion
Learning Algorithms for Medical Big Data Analysis (LAMBDA)
Magnetic Resonance Imaging (MRI)
Speech Processing and Understanding
Development of a guideline for the three-dimensional non-destructive acquisition of manuscripts
Intelligent MR Diagnosis of the Liver by Linking Model and Data-driven Processes (iDELIVER)
Molecular Assessment of Signatures ChAracterizing the Remission of Arthritis
Improved dual energy imaging using machine learning

Current projects

Font Group Recognition for Improved OCR

(Third Party Funds Single)

Term: 1. August 2021 - 1. August 2023
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)

Abstract

Although OCR-D made huge progress in the last project phase in providing OCR for early printed books, it still faces two major problems: The huge variety of the material makes it extremely challenging to use generic OCR-models. Yet, selecting specific models is not possible as the sheer amount of material prevents a fully automatic workflow. This situation is further complicated by the lack of appropriate OCR training data. Current data sets consist overwhelmingly of texts in Fraktur, especially from the 19th century. This completely neglects the large typographic variety displayed by printing in the three previous centuries. Therefore, and in response to the demand from SLUB Dresden and ULB Halle, we propose to improve the current situation significantly1) fine tuning our font group recognition system to such a degree that it can be used at character level;2) transcribing more specific OCR training data for the 16th-18th century, which includes popular fonts such as Schwabacher, other bastards and old Fraktur styles; 3) training font-specific OCR models as well as integrated models that recognise both typeface and text simultaneously. This approach has ensured in other contexts that the network performs better on both individual tasks, as we can thus reduce overfitting during training. This project will improve OCR quality significantly, especially for books in non-Fraktur fonts. It will also provide a training data set of very high quality that can be reused in long term. Finally, the project will provide a more fine-grained font recognition tool that, beyond enabling font-specific OCR, also has important applications in text attribute recognition and layout analysis.

→More information
ODEUROPA: Negotiating Olfactory and Sensory Experiences in Cultural Heritage Practice and Research

(Third Party Funds Group – Sub project)

Overall project: ODEUROPA
Term: 1. January 2021 - 31. December 2022
Funding source: EU - 8. Rahmenprogramm - Horizon 2020
URL: https://odeuropa.eu/

Abstract

Our senses are gateways to the past. Although museums are slowly discovering the power of multi-sensory presentations, we lack the scientific standards, tools and data to identify, consolidate, and promote the wide-ranging role of scents and smelling in our cultural heritage. In recent years, European cultural heritage institutions have invested heavily in large-scale digitization. A wealth of object, text and image data that can be analysed using computer science techniques now exists. However, the potential olfactory descriptions, experiences, and memories that they contain remain unexplored. We recognize this as both a challenge and an opportunity. Odeuropa will apply state-of-the-art AI techniques to text and image datasets that span four centuries of European history. It will identify the vocabularies, spaces, events, practices, and emotions associated with smells and smelling. The project will curate this multi-modal information, following semantic web standards, and store the enriched data in a ‘European Olfactory Knowledge Graph’ (EOKG). We will use this data to identify ‘storylines’, informed by cultural history and heritage research, and share these with different audiences in different formats: through demonstrators, an online catalogue, toolkits and training documentation describing best-practices in olfactory museology. New, evidence-based methodologies will quantify the impact of multisensory visitor engagement. This data will support the implementation of policy recommendations for recognising, promoting, presenting and digitally preserving olfactory heritage. These activities will realize Odeuropa’s main goal: to show that smells and smelling are important and viable means for consolidating and promoting Europe’s tangible and intangible cultural heritage.

→More information
Intelligent MR Diagnosis of the Liver by Linking Model and Data-driven Processes (iDELIVER)

(Third Party Funds Single)

Term: 3. August 2020 - 31. March 2023
Funding source: Bundesministerium für Bildung und Forschung (BMBF)

Abstract

The project examines the use and further development of machine learning methods for MR image reconstruction and for the classification of liver lesions. Based on a comparison model and data-driven image reconstruction methods, these are to be systematically linked in order to enable high acceleration without sacrificing diagnostic value. In addition to the design of suitable networks, research should also be carried out to determine whether metadata (e.g. age of the patient) can be incorporated into the reconstruction. Furthermore, suitable classification algorithms on an image basis are to be developed and the potential of direct classification on the raw data is to be explored. In the long term, intelligent MR diagnostics can significantly increase the efficiency of use of MR hardware, guarantee better patient care and set new impulses in medical technology.

→More information
From Micro To Macro: Multiscale Multimodal Data Analysis for Breast Cancer Research

(Third Party Funds Single)

Term: 4. May 2020 - 5. May 2023
Funding source: Industrie

Abstract

From Micro To Macro: Multiscale Multimodal Data Analysis for Breast Cancer Research

→More information
Bereitstellung einer Infrastruktur zur Nutzung für die Ausbildung Studierender auf einem z/OS Betriebssystem der Fa. IBM

(FAU Funds)

Term: 2. April 2020 - 31. March 2025
Funding source: Friedrich-Alexander-Universität Erlangen-Nürnberg

→More information
Molecular Assessment of Signatures ChAracterizing the Remission of Arthritis

(Third Party Funds Single)

Term: 1. April 2020 - 30. September 2022
Funding source: Bundesministerium für Bildung und Forschung (BMBF)

Abstract

MASCARA zielt auf eine detaillierte, molekulare Charakterisierung der Remission bei Arthritis ab. Das Projekt basiert auf der kombinierten klinischen und technischen Erfahrung von Rheumatologen, Radiologen, Medizinphysikern, Nuklearmedizinern, Gastroenterologen, grundlagenwissenschaftlichen Biologen und Informatikern und verbindet fünf akademische Fachzentren in Deutschland. Das Projekt adressiert 1) den Umstand der zunehmenden Zahl von Arthritis Patienten in Remission, 2) die Herausforderungen, eine effektive Unterdrückung der Entzündung von einer Heilung zu unterscheiden und 3) das begrenzte Wissen über die Gewebeveränderungen in den Gelenken von Patienten mit Arthritis. MASCARA wird auf der Grundlage vorläufiger Daten vier wichtige mechanistische Bereiche (immunstoffwechselbedingte Veränderungen, mesenchymale Gewebereaktionen, residente Immunzellen und Schutzfunktion des Darms) untersuchen, die gemeinsam den molekularen Zustand der Remission bestimmen. Das Projekt zielt auf die Sammlung von Synovialbiopsien und die anschließende Gewebeanalyse bei Patienten mit aktiver Arthritis und Patienten in Remission ab. Die Gewebeanalysen umfassen (Einzelzell)-mRNA-Sequenzierung, Massenzytometrie sowie die Messung von Immunmetaboliten und werden durch molekulare Bildgebungsverfahren wie CEST-MRT und FAPI-PET ergänzt. Sämtliche Daten, die in dem Vorhaben generiert werden, werden in einem bereits bestehenden Datenbanksystem mit den Daten der anderen Partner zusammengeführt und gespeichert. Das Zusammenführen der Daten soll – mit Hilfe von maschinellem Lernen – krankheitsspezifische und mit der Krankheitsaktivität verbundene Mustermatrizen identifizieren.

→More information
Advancing osteoporosis medicine by observing bone microstructure and remodelling using a four-dimensional nanoscope

(Third Party Funds Single)

Term: 1. April 2019 - 31. March 2025
Funding source: European Research Council (ERC)
URL: https://cordis.europa.eu/project/id/810316

Abstract

Due to Europe's ageing society, there has been a dramatic increase in the occurrence of osteoporosis (OP) and related diseases. Sufferers have an impaired quality of life, and there is a considerable cost to society associated with the consequent loss of productivity and injuries. The current understanding of this disease needs to be revolutionized, but study has been hampered by a lack of means to properly characterize bone structure, remodeling dynamics and vascular activity. This project, 4D nanoSCOPE, will develop tools and techniques to permit time-resolved imaging and characterization of bone in three spatial dimensions (both in vitro and in vivo), thereby permitting monitoring of bone remodeling and revolutionizing the understanding of bone morphology and its function.

To advance the field, in vivo high-resolution studies of living bone are essential, but existing techniques are not capable of this. By combining state-of-the art image processing software with innovative 'precision learning' software methods to compensate for artefacts (due e.g. to the subject breathing or twitching), and innovative X-ray microscope hardware which together will greatly speed up image acquisition (aim is a factor of 100), the project will enable in vivo X-ray microscopy studies of small animals (mice) for the first time. The time series of three-dimensional X-ray images will be complemented by correlative microscopy and spectroscopy techniques (with new software) to thoroughly characterize (serial) bone sections ex vivo.

The resulting three-dimensional datasets combining structure, chemical composition, transport velocities and local strength will be used by the PIs and international collaborators to study the dynamics of bone microstructure. This will be the first time that this has been possible in living creatures, enabling an assessment of the effects on bone of age, hormones, inflammation and treatment.

→More information
Deep Learning based Noise Reduction for Hearing Aids

(Third Party Funds Single)

Term: 1. February 2019 - 31. January 2023
Funding source: Industrie

Abstract

Reduction of unwanted environmental noises is an important feature of today’s hearing aids, which is why noise reduction is nowadays included in almost every commercially available device. The majority of these algorithms, however, is restricted to the reduction of stationary noises. Due to the large number of different background noises in daily situations, it is hard to heuristically cover the complete solution space of noise reduction schemes. Deep learning-based algorithms pose a possible solution to this dilemma, however, they sometimes lack robustness and applicability in the strict context of hearing aids.
In this project we investigate several deep learning.based methods for noise reduction under the constraints of modern hearing aids. This involves a low latency processing as well as the employing a hearing instrument-grade filter bank. Another important aim is the robustness of the developed methods. Therefore, the methods will be applied to real-world noise signals recorded with hearing instruments.

→More information

Recent publications

2022

Amsel, D., Yoon, S.S., Wetzl, J., & Maier, A. (2022). Diffeomorphic Image Registration for CINE Cardio MR images using deep learning. Poster presentation at Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, GB.
Aust, O., Thies, M., Weidner, D., Wagner, F., Pechmann, S., Mill, L.,... Grüneboom, A. (2022). Tibia Cortical Bone Segmentation in Micro-CT and X-ray Microscopy Data Using a Single Neural Network. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 333-338). Heidelberg, DE: Springer Science and Business Media Deutschland GmbH.
Bergler, C., Barnhill, A., Perrin, D., Schmitt, M., Maier, A., & Nöth, E. (2022). ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022. Incheon, Korea: International Speech Communication Association.
Bergler, C., Schmitt, M., Maier, A., Cheng, R.X., Barth, V., & Nöth, E. (2022). ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning. In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Singapore, SG: IEEE.
Davari, A., Baller, C., Seehaus, T., Braun, M., Maier, A., & Christlein, V. (2022). Pixel-wise Distance Regression for Glacier Calving Front Detection and Segmentation. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-10. https://dx.doi.org/10.1109/TGRS.2022.3158591
Denzinger, F., Wels, M., Taubmann, O., Gülsün, M.A., Schöbinger, M., Andre, F.,... Breininger, K. (2022). CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. In Proceedings of the Medical Imaging with Deep Learning. Zürich, CH.
El-Ghoussani, A., Rodríguez Salas, D., Seuret, M., & Maier, A. (2022). GAN-based Augmentation of Mammograms to Improve Breast Lesion Detection. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 321-326). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
Facco Rodrigues, V., Righi, R.R., Andre da Costa, C., Stoffel Antunes, R., Bazo, R., Reis, E.S.,... Eskofier, B. (2022). HealthStack: Providing an IoT Middleware for Malleable QoS Service Stacking for Hospital 4.0 Operating Rooms. IEEE Internet of Things. https://dx.doi.org/10.1109/JIOT.2022.3160633
Fan, F., Kreher, B.W., Keil, H., Maier, A., & Huang, Y. (2022). Fiducial marker recovery and detection from severely truncated data in navigation assisted spine surgery. Medical Physics. https://dx.doi.org/10.1002/mp.15617
Fu, W., Husvogt, L., Breininger, K., Schaffert, R., Abu-Qamar, O., Fujimoto, J.G., & Maier, A. (2022). Form Follows Function: Smart Network Design Enables Zero-shot Network Reuse. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 121-126). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
Gu, M., Vesal, S., Kosti, R.V., & Maier, A. (2022). Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 20-25). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
Hofmann, A., Klein, L., Lomakin, K., Sippel, M., & Gold, G. (2022). Additively Manufactured WR15 Waveguide to Microstrip Transition for Broadband V-Band Applications. In Proceedings of the European Microwave Conference (EuMC). Milan, Italy.
Hofmann, A., Lomakin, K., Sippel, M., & Gold, G. (2022). Additively Manufactured Broadwall Waveguide Couplers for V-Band Applications. In German Microwave Conference. Ulm.
Hofmann, A., Lomakin, K., Sippel, M., & Gold, G. (2022). Additively Manufactured Slotted Waveguides for THz Applications. In IEEE/MTT-S International Microwave Symposium (IMS). Denver, CO.
Huang, Y., Bert, C., Sommer, P., Frey, B., Gaipl, U., Distel, L.,... Putz, F. (2022). Verbesserung der Deep Learning basierten Autodetektion von Hirnmetastasen durch Integration von MRT-Voraufnahmen. In Strahlentherapie und Onkologie (S. S6). Stuttgart, DE: Springer.
Huang, Y., Maier, A., Sommer, P., Fischer, S., Srinivasan, A.L., Fietkau, R.,... Putz, F. (2022). Deep Learning basierte Vorhersage von Gliomwachstum mittels Growing Neural Cellular Automata. In Strahlentherapie und Onkologie (S. S65). Stuttgart, DE: Springer.
Klein, L., Liu, C., Steidel, J., Enzmann, L., Knaup, M., Sawall, S.,... Kachelriess, M. (2022). Patient-specific radiation risk-based tube current modulation for diagnostic CT. Medical Physics. https://dx.doi.org/10.1002/mp.15673
Kuhnert, N., & Maier, A. (2022). FlexParser—The adaptive log file parser for continuous results in a changing world. Journal of Software: Evolution and Process, 34(3), e2426. https://dx.doi.org/10.1002/smr.2426
Kunzmann, S., Marzahl, C., Denzinger, F., Bertram, C., Klopfleisch, R., Breininger, K.,... Maier, A. (2022). First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 223-228). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
Löffler, C., Reeb, L., Dzibela, D., Marzilger, R., Witt, N., Eskofier, B., & Mutschler, C. (2022). Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories. ACM Transactions on Intelligent Systems and Technology, 13(1). https://dx.doi.org/10.1145/3465057
Maksoud, Z., Schmidt, M., Huang, Y., Rutzner, S., Mansoorian, S., Weissmann, T.,... Putz, F. (2022). Transient Enlargement in Meningiomas Treated with Stereotactic Radiotherapy. Cancers, 14(Special Issue State-of-the-Art Research in Meningioma), 1-13. https://dx.doi.org/10.3390/cancers14061547
Maloca, P.M., Feu-Basilio, S., Schottenhamml, J., Valmaggia, P., Scholl, H.P., Rosinés-Fonoll, J.,... Zarranz-Ventura, J. (2022). Reference database of total retinal vessel surface area derived from volume-rendered optical coherence tomography angiography. Scientific Reports, 12(1), 3695-. https://dx.doi.org/10.1038/s41598-022-07439-2
Mattick, A., Mayr, M., Maier, A., & Christlein, V. (2022). Is Multitask Learning Always Better? In Seiichi Uchida, Elisa Barney, Véronique Eglin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 674-687). La Rochelle, FR: Springer Science and Business Media Deutschland GmbH.
Maul, N., Roser, P., Birkhold, A., Kowarschik, M., Zhong, X., Strobel, N., & Maier, A. (2022). Learning-based occupational x-ray scatter estimation. Physics in Medicine and Biology, 67(7). https://dx.doi.org/10.1088/1361-6560/ac58dc
Mayr, M., Felker, A., Maier, A., & Christlein, V. (2022). Combining Visual and Linguistic Models for a Robust Recipient Line Recognition in Historical Documents. In Seiichi Uchida, Elisa Barney, Véronique Eglin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 598-612). La Rochelle, FRA: Springer Science and Business Media Deutschland GmbH.
Melsheimer, B., Jahn, A., Putnings, M., Valianos, S., & Walther, M. (2022). Towards a CRIS-integrated solution for University Press workflows. In Proceedings of the CRIS2022: 15th International Conference on Current Research Information Systems. Dubrovnik, HR.
Muneton-Santa, G., Escobar-Grisales, D., Orlando Lopez-Pabon, F., Pérez Toro, P.A., & Orozco Arroyave, J.R. (2022). Classification of Poverty Condition Using Natural Language Processing. Social Indicators Research. https://dx.doi.org/10.1007/s11205-022-02883-z
Nikolaidou, K., Upadhyay, R., Seuret, M., & Liwicki, M. (2022). Investigating the Effect of Using Synthetic and Semi-synthetic Images for Historical Document Font Classification. In Seiichi Uchida, Elisa Barney, Véronique Eglin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 613-626). La Rochelle, FRA: Springer Science and Business Media Deutschland GmbH.
Patwari, M., Gutjahr, R., Raupach, R., & Maier, A. (2022). Limited parameter denoising for low-dose X-ray computed tomography using deep reinforcement learning. Medical Physics. https://dx.doi.org/10.1002/mp.15643
Periyasamy, M., Davari, A., Seehaus, T., Braun, M., Maier, A., & Christlein, V. (2022). How to Get the Most Out of U-Net for Glacier Calving Front Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://dx.doi.org/10.1109/JSTARS.2022.3148033
Popp, A., Taubmann, O., Thamm, F., Ditt, H., Maier, A., & Breininger, K. (2022). Thrombus Detection in Non-Contrast Head CT using Graph Deep Learning. In Bildverarbeitung in der Medizin. Heidelberg.
Rao, D., Maass, N., Dennerlein, F., Maier, A., & Huang, Y. (2022). Machine Learning-based Detection of Spherical Markers in CT Volumes. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 51-56). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
Schlereth, M., Stromer, D., Breininger, K., Wagner, A., Tan, L., Maier, A., & Knieling, F. (2022). Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 285-290). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
Schlereth, M., Stromer, D., Mantri, Y., Tsujimoto, J., Breininger, K., Maier, A.,... Jokerst, J.V. (2022). Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 261-266). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
Schröter, H., Escalante-B, A.N., Rosenkranz, T., & Maier, A. (2022). DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering. In ICASSP 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Singapore.
Singh Khural, B., Baer-Beck, M., Fournie, E., Stierstorfer, K., Huang, Y., & Maier, A. (2022). Deep Learning-based Extended Field of View Computed Tomography Image Reconstruction: Influence of Network Design on Image Estimation Outside the Scan Field of View. Biomedical Physics and Engineering Express. https://dx.doi.org/10.1088/2057-1976/ac47fc
Sukesh, R., Fieselmann, A., Jaganathan, S., Shetty, K., Kaergel, R., Kordon, F.J.,... Maier, A. (2022). Training Deep Learning Models for 2D Spine X-rays Using Synthetic Images and Annotations Created from 3D CT Volumes. In Maier-Hein K, Deserno TM, Handels H, Maier A, Palm C, Tolxdorff T (Eds.), Bildverarbeitung für die Medizin 2022 (pp. 63--68). Heidelberg, DE: Wiesbaden: Springer Fachmedien Wiesbaden.
Sukesh, R., Seuret, M., Nicolaou, A., Mayr, M., & Christlein, V. (2022). A Fair Evaluation of Various Deep Learning-Based Document Image Binarization Approaches. In Seiichi Uchida, Elisa Barney, Véronique Eglin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 771-785). La Rochelle, FRA: Springer Science and Business Media Deutschland GmbH.
Thamm, F., Taubmann, O., Jürgens, M., Ditt, H., & Maier, A. (2022). Detection of Large Vessel Occlusions using Deep Learning by Deforming Vessel Tree Segmentations. In Bildverarbeitung für die Medizin 2022. Deutsches Krebsforschungszentrum, Heidelberg, Deutschland, DE.
Wagner, F., Thies, M., Gu, M., Huang, Y., Pechmann, S., Patwari, M.,... Maier, A. (2022). Ultra low‐parameter denoising: Trainable bilateral filter layers in computed tomography. Medical Physics. https://dx.doi.org/10.1002/mp.15718
Wilm, F., Marzahl, C., Breininger, K., & Aubreville, M. (2022). Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge. In Marc Aubreville, David Zimmerer, Mattias Heinrich (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 5-13). Strasbourg, FRA: Springer Science and Business Media Deutschland GmbH.
Yoon, S.S., Fischer, C., Toupin, S., Pezel, T., Garot, J., Wetzl, J.,... Giese, D. (2022). Fully automatic AI-based extraction of mitral valve motion parameters on long axis CINE images – validation and application on N=2000 patient datasets. Paper presentation at Society for Cardiovascular Magnetic Resonance 25th Annual Scientific Sessions, Fort Lauderdale, US.
Yoon, S.S., Fischer, C., Toupin, S., Pezel, T., Garot, J., Wetzl, J.,... Giese, D. (2022). Fully automatic AI-based valve motion parameter extraction on long axis CINE images – application on N=11000 patient datasets. Paper presentation at Artificial Intelligence in Cardiovascular Magnetic Resonance Imaging - A Joint Summit of the EACVI and SCMR, London, GB.
Yoon, S.S., Gadjimuradov, F., Schmidt, M., Wetzl, J., & Maier, A. (2022). Fully automated Machine Learning-based selection of optimal bSSFP frequency offset for artifact reduction in cardiac MRI. Paper presentation at Artificial Intelligence in Cardiovascular Magnetic Resonance Imaging - A Joint Summit of the EACVI and SCMR, London, GB.
Yoon, S.S., Schmidt, M., Rick, M., Chitiboi, T., Sharma, P., Emrich, T.,... Maier, A. (2022). Automated Time Adjusted Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging – Validation and Application on Patient Datasets. Poster presentation at Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, GB.
Zippert, P., Seuret, M., Maier, A., & Hausotte, T. (2022). Influence of X-Ray Radiation on Historical Paper. In Proceedings of the 11th Conference on Industrial Computed Tomography. Wels, Austria, AT.
Öttl, M., Mönius, J., Marzahl, C., Rübner, M., Geppert, C., Hartmann, A.,... Breininger, K. (2022). Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 254-259). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.

2021

Alberti, M., Botros, A., Schuetz, N., Ingold, R., Liwicki, M., & Seuret, M. (2021). Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks. In 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (pp. 8204-8211). , ELECTR NETWORK: LOS ALAMITOS: IEEE COMPUTER SOC.
Aubreville, M., Bertram, C.A., Donovan, T.A., Marzahl, C., Maier, A., & Klopfleisch, R. (2021). A Completely Annotated Whole Slide Image Dataset of Canine Breast Cancer to Aid Human Breast Cancer Research. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 198-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Aubreville, M., Bertram, C.A., Marzahl, C., Gurtner, C., Dettwiler, M., Schmidt, A.,... Maier, A. (2021). Abstract: Deep Learning Algorithms Out-perform Veterinary Pathologists in Detecting the Mitotically Most Active Tumor Region. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 260-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Bergler, C., Gebhard, A., Towers, J.R., Butyrev, L., Sutton, G.J., Shaw, T.J.H.,... Nöth, E. (2021). FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales. Scientific Reports, 11(1). https://dx.doi.org/10.1038/s41598-021-02506-6
Bergler, C., Schmitt, M., Maier, A., Symonds, H., Spong, P., Ness, S.,... Nöth, E. (2021). ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2021. Brno, Czechia: International Speech Communication Association.
Bertram, C.A., Donovan, T.A., Tecilla, M., Bartenschlager, F., Fragoso, M., Wilm, F.,... Aubreville, M. (2021). Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 134-139). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Breininger, K., Pfister, M., Kowarschik, M., & Maier, A. (2021). Move Over There One-click Deformation Correction for Image Fusion during Endovascular Aortic Repair. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 35-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Chatterjee, S., Bayer, S., & Maier, A. (2021). Prediction of Household-level Heat-Consumption using PSO enhanced SVR Model. In Tackling Climate Change with Machine Learning: workshop at NeurIPS 2021. Online: https://www.climatechange.ai/events/neurips2021.html#accepted-works.
Chen, S., Stromer, D., Alnasser Alabdalrahim, H., Schwab, S., Weih, M., & Maier, A. (2021). Abstract: Automatic Dementia Screening and Scoring by Applying Deep Learning on Clock-drawing Tests. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 289-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Christlein, V., Weichselbaumer, N., Limbach, S., & Seuret, M. (2021). Proof of Concept: Automatic Type Recognition. In Reussner RH, Koziolek A, Heinrich R (Eds.), INFORMATIK 2020 (pp. 1307-1316). Gesellschaft für Informatik, Bonn.
Deitsch, S., Buerhop-Lutz, C., Sovetkin, E., Steland, A., Gallwitz, F., Maier, A., & Rieß, C. (2021). Segmentation of Photovoltaic Module Cells in Uncalibrated Electroluminescence Images. Machine Vision and Applications, 32. https://dx.doi.org/10.1007/s00138-021-01191-9
Denck, J., Guehring, J., Maier, A., & Rothgang, E. (2021). Fat-Saturated MR Image Synthesis with Acquisition Parameter-Conditioned Image-to-Image Generative Adversarial Network. Paper presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting & Exhibition, Virtual.
Denck, J., Guehring, J., Maier, A., & Rothgang, E. (2021). MR-contrast-aware image-to-image translations with generative adversarial networks. International Journal of Computer Assisted Radiology and Surgery. https://dx.doi.org/10.1007/s11548-021-02433-x
Denck, J., Guehring, J., Maier, A., & Rothgang, E. (2021). Acquisition Parameter Conditioned Magnetic Resonance Image-to-Image Translation. In Bildverarbeitung für die Medizin 2021. Virtual.
Denck, J., Guehring, J., Maier, A., & Rothgang, E. (2021). Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks. Journal of Imaging. https://dx.doi.org/10.3390/jimaging7080133
Denzinger, F., Wels, M., Breininger, K., Gülsün, M.A., Schöbinger, M., André, F.,... Maier, A. (2021). Abstract: Automatic CAD-RADS Scoring using Deep Learning. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 104-). Regensburg, DEU: Springer Science and Business Media Deutschland GmbH.
Denzinger, F., Wels, M., Hopfgartner, C., Lu, J., Schöbinger, M., Maier, A., & Sühling, M. (2021). Coronary Plaque Analysis for CT Angiography Clinical Research. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 223-228). Regensburg, DEU: Springer Science and Business Media Deutschland GmbH.
Diehm, J., Hermann, R., Pertlwieser, T., Cheng, W., Fu, W., Kordon, F.J., & Maier, A. (2021). ScanRacer – Fast Track Annotation of Segmentation Masks in Volumetric Medical Images. Poster presentation at HEALTHINF - 14th International Conference on Health Informatics, Online Streaming.
Escobar-Grisales, D., Rios-Urrego, C.D., Lopez-Santander, D.A., Gallo-Aristizabal, J.D., Vasquez-Correa, J.C., Nöth, E., & Orozco-Arroyave, J.R. (2021). COLOMBIAN DIALECT RECOGNITION BASED ON INFORMATION EXTRACTED FROM SPEECH AND TEXT SIGNALS. In 2021 IEEE AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING WORKSHOP (ASRU) (pp. 556-563). NEW YORK: IEEE.
Escobar-Grisales, D., Vasquez Correa, J., & Orozco Arroyave, J.R. (2021). Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning. In Juan Carlos Figueroa-García, Yesid Díaz-Gutierrez, Elvis Eduardo Gaona-García, Alvaro David Orjuela-Cañón (Eds.), Communications in Computer and Information Science (pp. 171-179). Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Felsner, L., Roser, P., Maier, A., & Riess, C. (2021). Comparison of methods for sensitivity correction in Talbot–Lau computed tomography. International Journal of Computer Assisted Radiology and Surgery. https://dx.doi.org/10.1007/s11548-021-02487-x
Felsner, L., Syben, C., Maier, A., & Riess, C. (2021). Helical Dark-field Fiber Reconstruction. In Proceedings of the International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D).
Ferrer, C.A., Aragón, E., Hdez-Díaz, M.E., De Bodt, M.S., Cmejla, R., Englert, M.,... Nöth, E. (2021). Modeling dysphonia severity as a function of roughness and breathiness ratings in the GRBAS scale. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 4835-4839). Brno, CZE: International Speech Communication Association.
Ferrer Riesgo, C.A., Rodriguez-Guillen, R., & Nöth, E. (2021). Evaluation of GOI Detectors in EGG Signals Assuming Different Models for the Pulse Length Variability. In PROGRESS IN ARTIFICIAL INTELLIGENCE AND PATTERN RECOGNITION (pp. 434-443). , ELECTR NETWORK: CHAM: SPRINGER INTERNATIONAL PUBLISHING AG.
Fu, W., Breininger, K., Schaffert, R., Pan, Z., & Maier, A. (2021). “Keep it simple, scholar”: an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging. International Journal of Computer Assisted Radiology and Surgery. https://dx.doi.org/10.1007/s11548-021-02340-1
Fu, W., Mill, L., Seitz, S., Geimer, T., Kling, L., Possart, D.,... Maier, A. (2021). Towards Mouse Bone X-ray Microscopy Scan Simulation. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 128-133). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Gadjimuradov, F., Benkert, T., Nickel, M.D., & Maier, A. (2021). Deep Learning-based Adaptive Image Combination for Signal-Dropout Suppression in Liver DWI. In Proceedings of the ISMRM & SMRT Annual Conference & Exhibition. Virtual.
Gadjimuradov, F., Benkert, T., Nickel, M.D., & Maier, A. (2021). Partial Fourier Reconstruction in Liver DWI using a Recurrent Convolutional Network. In Proceedings of the ISMRM & SMRT Annual Conference & Exhibition. Virtual.
Geng, M., Tian, Z., Jiang, Z., You, Y., Feng, X., Xia, Y.,... Lu, Y. (2021). PMS-GAN: Parallel Multi-Stream Generative Adversarial Network for Multi-Material Decomposition in Spectral Computed Tomography. IEEE Transactions on Medical Imaging, 40(2), 571-584. https://dx.doi.org/10.1109/TMI.2020.3031617
Gottschalk, T., Maier, A., Kordon, F.J., & Kreher, B.W. (2021). Learning-based Patch-wise Metal Segmentation with Consistency Check. In Palm C, Deserno TM, Handels H, Maier A, Maier-Hein K, Tolxdorff T (Eds.), Bildverarbeitung für die Medizin 2021 (pp. 4-9). Virtual Conference: Wiesbaden: Springer Vieweg.
Gottschalk, T., Maier, A., Kordon, F.J., & Kreher, B.W. (2021). View-Consistent Metal Segmentation in the Projection Domain for Metal Artifact Reduction in CBCT – An Investigation of Potential Improvement. Journal Machine Learning for Biomedical Imaging, December 2021 issue(1).
Gündel, S., Setio, A.A., Ghesu, F.-C., Grbic, S., Georgescu, B., Maier, A., & Comaniciu, D. (2021). Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment. Medical Image Analysis. https://dx.doi.org/10.1016/j.media.2021.102087
Haase, V., Stierstorfer, K., Hahn, K., Schoendube, H., Maier, A., & Noo, F. (2021). Non-Contrast Head CT Imaging Using Dual Energy: A Study on Bias Induced by Imperfections in Energy Response and Material Knowledge. Paper presentation at 16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Leuven, Belgium, BE.
Hoffmann, M., Buerhop-Lutz, C., Reeb, L., Pickel, T., Winkler, T., Doll, B.,... Christlein, V. (2021). Deep Learning-based Pipeline for Module Power Prediction from EL Measurements. Progress in Photovoltaics: Research and Applications. https://dx.doi.org/10.1002/pip.3416
Hoffmann, M., Hepp, J., Doll, B., Buerhop-Lutz, C., Peters, I.M., Brabec, C.,... Christlein, V. (2021). Module-Power Prediction from PL Measurements using Deep Learning. In Proceedings of the IEEE Photovoltaic Specialists Conference. Fort Lauderdale, FL, USA: IEEE.
Hoffmann, M., Köhler, T., Doll, B., Schebesch, F., Talkenberg, F., Peters, I.M.,... Christlein, V. (2021). Joint Super-Resolution and Rectification for Solar Cell Inspection. IEEE Journal of Photovoltaics, 11(4), 1051-1058. https://dx.doi.org/10.1109/JPHOTOV.2021.3072229
Hoppe, E., Wetzl, J., Roser, P., Felsner, L., Preuhs, A., & Maier, A. (2021). 2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 158-163). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Hoppe, E., Wetzl, J., Yoon, S.S., Bacher, M., Roser, P., Stimpel, B.,... Maier, A. (2021). Deep learning-based ECG-free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging. IEEE Transactions on Medical Imaging.
Huang, Y., Fan, F., Syben, C., Roser, P., Mill, L., & Maier, A. (2021). Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems. Medical Image Analysis, 70. https://dx.doi.org/10.1016/j.media.2021.102028
Huang, Y., Mill, L., Stoll, R., Kling, L., Aust, O., Wagner, F.,... Maier, A. (2021). Semi-Permeable Filters for Interior Region of Interest Dose Reduction in X-Ray Microscopy. In Bildverarbeitung für die Medizin. Regensburg, DE: Springer.
Huang, Y., Preuhs, A., Manhart, M., Lauritsch, G., & Maier, A. (2021). Data Extrapolation from Learned Prior Images for Truncation Correction in Computed Tomography. IEEE Transactions on Medical Imaging. https://dx.doi.org/10.1109/TMI.2021.3072568
Husvogt, L., Abu-Qamar, O., Levine, E., Schottenhamml, J., Ploner, S., Breininger, K.,... Maier, A. (2021, June). Applying nnU-Net to the segmentation of microaneurysms in OCTA data in patients with non-proliferative diabetic retinopathy. Poster presentation at ARVO Annual Meeting 2021, US.
Husvogt, L., Ploner, S., Chen, S., Stromer, D., Schottenhamml, J., Alibhai, A.Y.,... Maier, A. (2021). Maximum a posteriori signal recovery for optical coherence tomography angiography image generation and denoising. Biomedical Optics Express, 12(1), 55-68. https://dx.doi.org/10.1364/BOE.408903
Husvogt, L., Ploner, S., Chen, S., Stromer, D., Schottenhamml, J., Alibhai, Y.,... Maier, A. (2021). Abstract: Maximum A-posteriori Signal Recovery for OCT Angiography Image Generation. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 261-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Jaganathan, S., Wang, J., Borsdorf, A., & Maier, A. (2021). Learning the Update Operator for 2D/3D Image Registration. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 117-122). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Jiang, G., Biswas, A., Bergler, C., & Maier, A. (2021). InSE-NET: A Perceptually Coded Audio Quality Model based on CNN. In Audio Engineering Society Convention 151. Las Vegas, Nevada, USA.
Jiang, Z., Huang, Z., Qiu, B., Meng, X., You, Y., Liu, X.,... Lu, Y. (2021). Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography. IEEE Transactions on Medical Imaging, 40(2), 688-698. https://dx.doi.org/10.1109/TMI.2020.3035154
Kedilioglu, O., Lieret, M., Schottenhamml, J., Würfl, T., Blank, A., Maier, A., & Franke, J. (2021). RGB-D-based Human Detection and Segmentation for Mobile Robot Navigation in Industrial Environments. In Giovanni Maria Farinella, Petia Radeva, Jose Braz, Kadi Bouatouch (Eds.), Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) (pp. 219-226). SciTePress.
Klumpp, P., Arias-Vergara, T., Vásquez-Correa, J.C., Pérez Toro, P.A., Orozco-Arroyave, J.R., Batliner, A., & Nöth, E. (2021). The Phonetic Footprint of Parkinson's Disease. Computer Speech and Language, 72(Speech based evaluation of neurological diseases). https://dx.doi.org/10.1016/j.csl.2021.101321
Klumpp, P., Bocklet, T., Arias-Vergara, T., Vasquez Correa, J., Pérez Toro, P.A., Bayerl, S.,... Nöth, E. (2021). The Phonetic Footprint of Covid-19. In Proc. Interspeech 2021 (pp. 441-445).
Kordon, F.J., Maier, A., & Kunze, H. (2021). Latent Shape Constraint for Anatomical Landmark Detection on Spine Radiographs. In Palm C, Deserno TM, Handels H, Maier A, Maier-Hein K, Tolxdorff T (Eds.), Bildverarbeitung für die Medizin 2021 (pp. 350-355). Virtual Conference: Wiesbaden: Springer Vieweg.
Kordon, F.J., Maier, A., Swartman, B., Privalov, M., El Barbari, J.S., & Kunze, H. (2021). Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery. In de Bruijne M, et al. (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 (pp. 560-570). Straßburg, PE: Cham: Springer.
Krauß, P., Metzner, C., Joshi, N., Schulze, H., Traxdorf, M., Maier, A., & Schilling, A. (2021). Analysis and visualization of sleep stages based on deep neural networks. Neurobiology of Sleep and Circadian Rhythms, 10. https://dx.doi.org/10.1016/j.nbscr.2021.100064
Lenc, L., Martínek, J., Král, P., Nicolao, A., & Christlein, V. (2021). HDPA: historical document processing and analysis framework. Evolving Systems, 12, 177–190. https://dx.doi.org/10.1007/s12530-020-09343-4
Lotfinia, M., & Tayebi Arasteh, S. (2021). Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling. arXiv:2102.02470v1 [cs.LG].
Maier, J. (2021). Methods for Weight-bearing C-arm Cone-Beam Computed Tomography of the Knees (Dissertation).
Maier, J., Maier, A., Eskofier, B., Fahrig, R., & Choi, J.-H. (2021). 3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT. IEEE Access, 9, 71821-71831. https://dx.doi.org/10.1109/ACCESS.2021.3079368
Maier, J., Nitschke, M., Choi, J.H., Gold, G., Fahrig, R., Eskofier, B., & Maier, A. (2021). Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 336-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Maier, J., Schottenhamml, J., Madhu, P., da Costa, C.A., & Maier, A. (2021). Analysis of Interventional Workflow Phases based on Image Classification. In 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS). Berlin (online conference), DE.
Martindale, C., Christlein, V., Klumpp, P., & Eskofier, B. (2021). Wearables-based multi-task gait and activity segmentation using recurrent neural networks. Neurocomputing, 432, 250-261. https://dx.doi.org/10.1016/j.neucom.2020.08.079
Martín Vicario, C., Kordon, F.J., Denzinger, F., Weiten, M., Thomas, S., Kausch, L.,... Kunze, H. (2021). Automatic Plane Adjustment in Surgical Cone Beam CT-volumes. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 170-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Marzahl, C., Aubreville, M., Bertram, C.A., Maier, J., Bergler, C., Kröger, C.,... Maier, A. (2021). EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control. Scientific Reports, 11(1). https://dx.doi.org/10.1038/s41598-021-83827-4
Marzahl, C., Aubreville, M., Bertram, C.A., Stayt, J., Jasensky, A.K., Bartenschlager, F.,... Maier, A. (2021). Abstract: Deep Learning-based Quantification of Pulmonary Hemosiderophages in Cytology Slides. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 48-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Marzahl, C., Bertram, C.A., Aubreville, M., Petrick, A., Weiler, K., Gläsel, A.C.,... Maier, A. (2021). Abstract: Are Fast Labeling Methods Reliable?: A Case Study of Computer-aided Expert Annotations on Microscopy Slides. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 296-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Marzahl, C., Bertram, C.A., Wilm, F., Voigt, J., Barton, A.K., Klopfleisch, R.,... Aubreville, M. (2021). Cell Detection for Asthma on Partially Annotated Whole Slide Images: Learning to be EXACT. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 147-152). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Mattick, A., Mayr, M., Seuret, M., Maier, A., & Christlein, V. (2021). SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators. In Josep Lladós, Daniel Lopresti, Seiichi Uchida (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 268-283). Lausanne, CHE: Springer Science and Business Media Deutschland GmbH.
Meister, F., Passerini, T., Audigier, C., Lluch, È., Mihalef, V., Ashikaga, H.,... Mansi, T. (2021). Graph Convolutional Regression of Cardiac Depolarization from Sparse Endocardial Maps. In Esther Puyol Anton, Mihaela Pop, Maxime Sermesant, Victor Campello, Alain Lalande, Karim Lekadir, Avan Suinesiaputra, Oscar Camara, Alistair Young (Eds.), Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges. (pp. 23-34).
Mill, L., Wolff, D., Gerrits, N., Philipp, P., Kling, L., Vollnhals, F.,... Christiansen, S. (2021). Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation. Small Methods. https://dx.doi.org/10.1002/smtd.202100223
Mohamed, M.M., Nessiem, M.A., Batliner, A., Bergler, C., Hantke, S., Schmitt, M.,... Schuller, B.W. (2021). Face mask recognition from audio: The MASC database and an overview on the mask challenge. Pattern Recognition, 122, 108361. https://dx.doi.org/10.1016/j.patcog.2021.108361
Monzon, M., Yoon, S.S., Fischer, C., Maier, A., Wetzl, J., & Giese, D. (2021). Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning. Poster presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting & Exhibition, Virtual.
Naderi Boldaji, H., Patwari, M., Reymann, M., Gutjahr, R., Raupach, R., & Maier, A. (2021). Deep Learning based Model Observers for Multi - Modal Imaging. In Proceedings of the 16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. Leuven, Belgium, BE.
Orozco Arroyave, J.R., Amato, F., Borzi, L., & Olmo, G. (2021). An algorithm for Parkinson's disease speech classification based on isolated words analysis. Health Information Science and Systems, 9(1). https://dx.doi.org/10.1007/s13755-021-00162-8
Patwari, M., Gutjahr, R., Raupach, R., & Maier, A. (2021, March). JBFnet: Low Dose CT-denoising by Trainable Joint Bilateral Filtering. Poster presentation at German Workshop on Medical Image Computing, 2021, Regensburg, DE.
Ploner, S., Kraus, M., Moult, E.M., Husvogt, L., Schottenhamml, J., Yasin Alibhai, A.,... Maier, A. (2021). Efficient and high accuracy 3-D OCT angiography motion correction in pathology. Biomedical Optics Express, 12(1), 125-146. https://dx.doi.org/10.1364/BOE.411117
Ploner, S., Schottenhamml, J., Moult, E., Husvogt, L., Waheed, N.K., Duker, J.S.,... Maier, A. (2021). Improved OCT motion correction in pathology using advanced eye motion modeling. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. ROCKVILLE: ASSOC RESEARCH VISION OPHTHALMOLOGY INC.
Pérez Toro, P.A., Bayerl, S., Arias-Vergara, T., Vasquez Correa, J., Klumpp, P., Schuster, M.,... Riedhammer, K. (2021). Influence of the Interviewer on the Automatic Assessment of Alzheimer’s Disease in the Context of the ADReSSo Challenge. In Proc. Interspeech 2021 (pp. 3785-3789).
Pérez Toro, P.A., Vasquez Correa, J., Arias-Vergara, T., Klumpp, P., Sierra-Castrillón, M., Roldán-López, M.E.,... Nöth, E. (2021). Acoustic and Linguistic Analyses to Assess Early-Onset and Genetic Alzheimer's Disease. In Proceedings of the ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 8338-8342). IEEE.
Pérez Toro, P.A., Vasquez Correa, J., Bocklet, T., Nöth, E., & Orozco-Arroyave, J.R. (2021). User State Modeling Based on the Arousal-Valence Plane: Applications in Customer Satisfaction and Health-Care. IEEE Transactions on Affective Computing. https://dx.doi.org/10.1109/TAFFC.2021.3112543
Rajput, J.R., Shetty, K., Maier, A., & Berger, M. (2021). Table Motion Detection in Interventional Coronary Angiography. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 55-60). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Rao, Q., Lu, Y., Song, L., Hou, Y., Zhan, X., & Zhang, Q. (2021). Highly Efficient Self-Repairing Slippery Liquid-Infused Surface with Promising Anti-Icing and Anti-Fouling Performance. ACS Applied Materials and Interfaces. https://dx.doi.org/10.1021/acsami.1c09491
Reich, M., Dreesbach, M., Boehringer, D., Schottenhamml, J., Gehring, E., Scholl, H.P.,... Maloca, P.M. (2021). NEGATIVE VESSEL REMODELING IN STARGARDT DISEASE QUANTIFIED WITH VOLUME-RENDERED OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY. Retina-The Journal of Retinal and Vitreous Diseases, 41(9), 1948-1957. https://dx.doi.org/10.1097/IAE.0000000000003110
Reimann, M., Fu, W., & Maier, A. (2021). Novel Evaluation Metrics for Vascular Structure Segmentation. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 80-85). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Rios-Urrego, C.D., Vásquez-Correa, J.C., Orozco-Arroyave, J.R., & Nöth, E. (2021). Is There Any Additional Information in a Neural Network Trained for Pathological Speech Classification? In Kamil Ekštein, František Pártl, Miloslav Konopík (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 435-447). Olomouc, CZ: Springer Science and Business Media Deutschland GmbH.
Rodríguez Salas, D., Seuret, M., Vesal, S., & Maier, A. (2021). Ultrasound Breast Lesion Detection using Extracted Attention Maps from a Weakly Supervised Convolutional Neural Network. In Palm, Christoph; Deserno, Thomas M.; Handels, Heinz;Maier, Andreas; Maier-Hein, Klaus;Tolxdorff, Thomas. (Eds.), Bildverarbeitung für die Medizin 2021 (pp. 282-287). Regensburg, DE: Wiesbaden: Springer Fachmedien Wiesbaden.
Roldan-Vasco, S., Orozco-Duque, A., Suarez-Escudero, J.C., & Orozco Arroyave, J.R. (2021). Machine learning based analysis of speech dimensions in functional oropharyngeal dysphagia. Computer Methods and Programs in Biomedicine, 208. https://dx.doi.org/10.1016/j.cmpb.2021.106248
Roser, P., Birkhold, A., Preuhs, A., Syben, C., Felsner, L., Hoppe, E.,... Maier, A. (2021). X-ray Scatter Estimation Using Deep Splines. IEEE Transactions on Medical Imaging. https://dx.doi.org/10.1109/TMI.2021.3074712
Roser, P., Felsner, L., Maier, A., & Riess, C. (2021). Learning the Inverse Weighted Radon Transform. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 49-54). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Roser, P., Zhong, X., Birkhold, A., Preuhs, A., Syben, C., Hoppe, E.,... Maier, A. (2021). Abstract: Simultaneous Estimation of X-ray Back-scatter and Forward-scatter using Multi-task Learning. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 262-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Rücker, N., Pflueger, L., & Maier, A. (2021). Hardware Failure Prediction on Imbalanced Times Series Data: Generation of Artificial Data Using Gaussian Process and Applying LSTMFCN to Predict Broken Hardware. Journal of Digital Imaging. https://dx.doi.org/10.1007/s10278-020-00411-4
Scheuerer, R., Haderlein, T., Nöth, E., & Bocklet, T. (2021). APPLYING X-VECTORS ON PATHOLOGICAL SPEECH AFTER LARYNX REMOVAL. In 2021 IEEE AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING WORKSHOP (ASRU) (pp. 1079-1086). Online: NEW YORK: IEEE.
Schottenhamml, J., Moult, E.M., Ploner, S., Chen, S., Novais, E., Husvogt, L.,... Maier, A. (2021). OCT-OCTA segmentation: Combining structural and blood flow information to segment bruch's membrane. Biomedical Optics Express, 12(1), 84-99. https://dx.doi.org/10.1364/BOE.398222
Schottenhamml, J., Ploner, S., Husvogt, L., Mardin, S., Hohberger, B., Mardin, C.Y., & Maier, A. (2021, June). Deep Learning Glaucoma Classification in enface OCTA scans of the human macular region. Poster presentation at ARVO Annual Meeting 2021, US.
Schottenhamml, J., Wuerfl, T., Mardin, S., Ploner, S., Husvogt, L., Hohberger, B.,... Maier, A. (2021). Glaucoma classification in 3 x 3 mm en face macular scans using deep learning in a different plexus. Biomedical Optics Express, 12(12), 7434-7444. https://dx.doi.org/10.1364/BOE.439991
Schröter, H., Rosenkranz, T., Escalante Banuelos, A., & Maier, A. (2021). LACOPE: Latency-Constrained Pitch Estimation for Speech Enhancement. In Proc. Interspeech 2021. Brno, CZ.
Schuller, B., Batliner, A., Bergler, C., Mascolo, C., Han, J., Lefter, I.,... Kaandorp, C. (2021). The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2021. Brno, Czechia: International Speech Communication Association.
Sechidis, K., Fusaroli, R., Orozco Arroyave, J.R., Wolf, D., & Zhang, Y.P. (2021). A machine learning perspective on the emotional content of Parkinsonian speech. Artificial Intelligence in Medicine, 115. https://dx.doi.org/10.1016/j.artmed.2021.102061
Seuret, M., Nicolaou, A., Rodríguez Salas, D., Weichselbaumer, N., Stutzmann, D., Mayr, M.,... Christlein, V. (2021). ICDAR 2021 Competition on Historical Document Classification. In Josep Lladós, Daniel Lopresti, Seiichi Uchida (Eds.), Document Analysis and Recognition – ICDAR 2021 (pp. 618–634). Springer Cham.
Seuret, M., Nicolaou, A., Rodríguez-Salas, D., Weichselbaumer, N., Stutzmann, D., Mayr, M.,... Christlein, V. (2021). ICDAR 2021 Competition on Historical Document Classification. In Josep Lladós, Daniel Lopresti, Seiichi Uchida (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 618-634). Lausanne, CHE: Springer Science and Business Media Deutschland GmbH.
Shetty, K., Birkhold, A., Strobel, N., Jaganathan, S., Kowarschik, M., Maier, A., & Egger, B. (2021). Deep Learning Compatible Differentiable X-ray Projections for Inverse Rendering. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 290-295). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Sievert, M., Oetter, N., Aubreville, M., Stelzle, F., Maier, A., Eckstein, M.,... Goncalves, M. (2021). Feasibility of intraoperative assessment of safe surgical margins during laryngectomy with confocal laser endomicroscopy: A pilot study. Auris Nasus Larynx. https://dx.doi.org/10.1016/j.anl.2021.01.005
Sievert, M., Stelzle, F., Aubreville, M., Mueller, S.K., Eckstein, M., Oetter, N.,... Goncalves, M. (2021). Intraoperative free margins assessment of oropharyngeal squamous cell carcinoma with confocal laser endomicroscopy: a pilot study. European Archives of Oto-Rhino-Laryngology. https://dx.doi.org/10.1007/s00405-021-06659-y
Steger, J., Zimmermann, A., Wittenberg, T., & Wilhelm, D. (2021). Electromagnets for an endoscopic anastomosis tool in the colon. Current Directions in Biomedical Engineering, 7(1). https://dx.doi.org/10.1515/cdbme-2021-1009
Sukesh, R., Goshika, S.K., Narayanan, S.S., Bhombore, V.V., Fu, W., Kordon, F.J., & Maier, A. (2021). Velo-CT – A Collaborative 3D Racing Game as Incentive for Medical Image Annotation. Poster presentation at HEALTHINF - 14th International Conference on Health Informatics, Online Streaming.
Symeonidi, A., Nicolaou, A., Johannes, F., & Christlein, V. (2021). Recursive Convolutional Neural Networks for Epigenomics. In Proceedings of the 25th International Conference on Pattern Recognition (ICPR). Milan, IT.
Tayebi Arasteh, S., Monajem, M., Christlein, V., Heinrich, P., Nicolao, A., Boldaji, H.N.,... Evert, S. (2021). How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies. In IEEE (Eds.), 2021 IEEE 15th International Conference on Semantic Computing (ICSC) (pp. 370-373). Laguna Hills, CA, USA, US.
Thamm, A., Herz, M., Wiedemann, M., Thamm, F., & Maier, A. (2021). Failure and Risk Analysis based on Maintenance Reports of Machines Components in Manufacturing Industry. In Springer (Eds.), Proceedings of the XIII. International Conference on the Theory of Machines and Mechanisms - TMM2020. Liberec, CZ: Heidelberg: Springer-Verlag GmbH.
Thamm, F., Jürgens, M., Ditt, H., & Maier, A. (2021, March). Abstract: VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data. Poster presentation at BVM Workshop 2021, OTH Regensburg, DE.
Theelke, L., Wilm, F., Marzahl, C., Bertram, C.A., Klopfleisch, R., Maier, A.,... Breininger, K. (2021). Iterative Cross-Scanner Registration for Whole Slide Images. In 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021) (pp. 582-590). LOS ALAMITOS: IEEE COMPUTER SOC.
Tripathi, P., Obler, R., Maier, A., & Janssen, H. (2021). A Novel Trilateral Filter for Digital Subtraction Angiography. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 310-315). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Utzschneider, M., Müller, M., Gast, L., Lachner, S., Behl, N.G., Maier, A.,... Nagel, A.M. (2021). Towards accelerated quantitative sodium MRI at 7 T in the skeletal muscle: Comparison of anisotropic acquisition- and compressed sensing techniques. Magnetic Resonance Imaging, 75, 72-88. https://dx.doi.org/10.1016/j.mri.2020.09.019
Vasquez Correa, J., Arias-Vergara, T., Klumpp, P., Pérez Toro, P.A., Orozco-Arroyave, J.R., & Nöth, E. (2021). End-2-End Modeling of Speech and Gait from Patients with Parkinson’s Disease: Comparison Between High Quality Vs. Smartphone Data. In Proceedings of the ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 7298-7302). IEEE.
Venator, M., Aklanoglu, S., Bruns, E., & Maier, A. (2021). Enhancing Collaborative Road Scene Reconstruction with Unsupervised Domain Alignment. Machine Vision and Applications.
Vesal, S., Gu, M., Kosti, R.V., Maier, A., & Ravikumar, N. (2021). Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation. IEEE Transactions on Medical Imaging. https://dx.doi.org/10.1109/TMI.2021.3066683
Vásquez-Correa, J.C., Rios-Urrego, C.D., Arias-Vergara, T., Schuster, M., Rusz, J., Nöth, E., & Orozco-Arroyave, J.R. (2021). Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages. Pattern Recognition Letters. https://dx.doi.org/10.1016/j.patrec.2021.04.011
Wallraff, S., Vesal, S., Syben, C., Lutz, R., & Maier, A. (2021). Age Estimation on Panoramic Dental X-ray Images using Deep Learning. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 186-191). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Wang, Z., Maier, A., & Christlein, V. (2021). Towards End-to-End Deep Learning-based Writer Identification. In Reussner RH, Koziolek A, Heinrich R (Eds.), INFORMATIK 2020 (pp. 1345-1354). Gesellschaft für Informatik, Bonn.
Werner, R., Szkitsak, J., Sentker, T., Madesta, F., Schwarz, A., Fernolendt, S.,... Hofmann, C. (2021). Comparison of intelligent 4D CT sequence scanning and conventional spiral 4D CT: A first comprehensive phantom study. Physics in Medicine and Biology, 66(1). https://dx.doi.org/10.1088/1361-6560/abc93a
Wilm, F., Bertram, C.A., Marzahl, C., Bartel, A., Donovan, T.A., Assenmacher, C.A.,... Aubreville, M. (2021). Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 241-246). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Xiong, Z., Xia, Q., Hu, Z., Huang, N., Bian, C., Zheng, Y.,... Zhao, J. (2021). A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Analysis, 67. https://dx.doi.org/10.1016/j.media.2020.101832
Xu, J., Sun, C., Huang, Y., & Huang, X. (2021). Residual Neural Network for Filter Kernel Design in Filtered Back-projection for CT Image Reconstruction. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 164-169). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Yang, Z., Schilling, A., Maier, A., & Krauß, P. (2021). Neural Networks with Fixed Binary Random Projections Improve Accuracy in Classifying Noisy Data. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 211-216). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
Yoon, S.S., Schmidt, M., Rick, M., Chitiboi, T., Sharma, P., Emrich, T.,... Maier, A. (2021). Validation of a Deep Learning based Automated Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging in a Prospective Study. Paper presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting & Exhibition, Virtual.
Yoon, S.S., Schmidt, M., Rick, M., Chitiboi, T., Sharma, P., Emrich, T.,... Maier, A. (2021). A Deep-Learning-based Automated Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging. Poster presentation at Society for Cardiovascular Magnetic Resonance, Virtual.
Zhong, X., Amrehn, M., Ravikumar, N., Chen, S., Strobel, N., Birkhold, A.,... Maier, A. (2021). Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images. Scientific Reports, 11(1). https://dx.doi.org/10.1038/s41598-021-82370-6

2020

Ahmed, J., Vesal, S., Durlak, F., Kaergel, R., Ravikumar, N., Rémy-Jardin, M., & Maier, A. (2020). COPD classification in CT images using a 3D convolutional neural network. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 39-45). Berlin, DE: Springer.
Argüello-Vélez, P., Arias-Vergara, T., González-Rátiva, M.C., Orozco-Arroyave, J.R., Nöth, E., & Schuster, M.E. (2020). Acoustic characteristics of vot in plosive consonants produced by parkinson’s patients. In Petr Sojka, Ivan Kopecek, Karel Pala, Aleš Horák (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 303-311). Brno, CZ: Springer Science and Business Media Deutschland GmbH.
Arias-Vergara, T., Arguello-Velez, P., Vasquez Correa, J., Nöth, E., Schuster, M., González-Rátiva, M.C., & Orozco Arroyave, J.R. (2020). Automatic detection of Voice Onset Time in voiceless plosives using gated recurrent units. Digital Signal Processing, 104. https://dx.doi.org/10.1016/j.dsp.2020.102779
Arias-Vergara, T., Klumpp, P., Vasquez-Correa, J.C., Nöth, E., Orozco-Arroyave, J.R., & Schuster, M. (2020). Multi-channel spectrograms for speech processing applications using deep learning methods. Pattern Analysis and Applications. https://dx.doi.org/10.1007/s10044-020-00921-5
Aubreville, M. (2020). Computer-Aided Tumor Diagnosis of Microscopy Images (Dissertation).
Aubreville, M., Bertram, C.A., Donovan, T.A., Marzahl, C., Maier, A., & Klopfleisch, R. (2020). A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research. Scientific Data, 7(1). https://dx.doi.org/10.1038/s41597-020-00756-z
Aubreville, M., Bertram, C.A., Jabari, S., Marzahl, C., Klopfleisch, R., & Maier, A. (2020). Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment - Learning New Tricks from Old Dogs. In Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (Eds.), Bildverarbeitung für die Medizin 2020. (pp. 1-7). Wiesbaden: Springer Vieweg.
Aubreville, M., Bertram, C.A., Marzahl, C., Gurtner, C., Dettwiler, M., Schmidt, A.,... Maier, A. (2020). Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region. Scientific Reports, 10(1). https://dx.doi.org/10.1038/s41598-020-73246-2
Baierer, K., Boenig, M., Engl, E., Hartmann, V., Neudecker, C., Altenhoener, R.,... Wieder, P. (2020). OCR-D Compact: Results and State of Research in the Funding Initiative. Bibliothek Forschung und Praxis, 44(2), 218-230. https://dx.doi.org/10.1515/bfp-2020-0024
Bayer, S., Spiske, U., Geimer, T., Luo, J., Wells III, W.M., Ostermeier, M.,... Maier, A. (2020). An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process. In Springer (Eds.), Algorithmen – Systeme – Anwendungen. Proceedings des Workshops. Berlin: Springer.
Bayer, S., Zhong, X., Fu, W., Ravikumar, N., & Maier, A. (2020). Imitation learning network for fundus image registration using a divide-and-conquer approach. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 301-306). Berlin, DE: Springer.
Bazo, R., Reis, E., Adams Seewald, L., Facco Rodrigues, V., Andre da Costa, C., Gonzaga, L.,... Horz, T. (2020). Baptizo: a sensor fusion based model for tracking the identity of human poses. Information Fusion. https://dx.doi.org/10.1016/j.inffus.2020.03.011
Bergler, C., Schmitt, M., Maier, A., Smeele, S., Barth, V., & Nöth, E. (2020). ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 (pp. 1136-1140). Shanghai, China: International Speech Communication Association.
Bertram, C.A., Aubreville, M., Gurtner, C., Bartel, A., Corner, S.M., Dettwiler, M.,... Klopfleisch, R. (2020). Computerized Calculation of Mitotic Count Distribution in Canine Cutaneous Mast Cell Tumor Sections: Mitotic Count Is Area Dependent. Veterinary Pathology, 57(2), 214-226. https://dx.doi.org/10.1177/0300985819890686
Bertram, C.A., Aubreville, M., Marzahl, C., Maier, A., & Klopfleisch, R. (2020, February). How Big is Big Enough?: A Large-Scale Histological Dataset of Mitotic Figures. Paper presentation at Bildverarbeitung für die Medizin 2020, Berlin, DE.
Bertram, C.A., Veta, M., Marzahl, C., Stathonikos, N., Maier, A., Klopfleisch, R., & Aubreville, M. (2020). Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels. In Jaime Cardoso, Wilson Silva, Ricardo Cruz, Hien Van Nguyen, Badri Roysam, Nicholas Heller, Pedro Henriques Abreu, Jose Pereira Amorim, Ivana Isgum, Vishal Patel, Kevin Zhou, Steve Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Samaneh Abbasi, Diana Mateus, Emanuele Trucco (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 204-213). Lima, PE: Springer Science and Business Media Deutschland GmbH.
Bootwala, A., Breininger, K., Maier, A., & Christlein, V. (2020). Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval. In Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Andreas Maier; Klaus H. Maier-Hein; Christoph Palm (Eds.), Bildverarbeitung für die Medizin 2020. (pp. 144-149). Wiesbaden: Springer Vieweg.
Breininger, K., Pfister, M., Kowarschik, M., & Maier, A. (2020). Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 713-723). Lima, PE: Springer Science and Business Media Deutschland GmbH.
Calim, H., & Maier, A. (2020). Erlernbarkeitsstudie eines vibrotaktilen Armbands für assistive Navigation. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 262-267). Berlin, DE: Springer.
Chen, S., Abu-Qamar, O., Moult, E., Ploner, S., Lee, B., Maier, A.,... Fujimoto, J. (2020). Ultrahigh-Resolution Optical Coherence Tomography Investigation of Age-Related Changes in the Photoreceptors, Retinal Pigment Epithelium and Bruch's Membrane. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. Online: ROCKVILLE: ASSOC RESEARCH VISION OPHTHALMOLOGY INC.
Chen, S., Abu-Qmar, O., Moult, E., Lee, B., Ploner, S., Maier, A.,... Fujimoto, J.G. (2020). Investigating Subtle Structural Changes in Eyes with Age-Related Macular Degeneration: A Pilot Study Using Ultrahigh-Resolution Optical Coherence Tomography. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. ONLINE: ROCKVILLE: ASSOC RESEARCH VISION OPHTHALMOLOGY INC.
Chen, S., Stromer, D., Alnasser Alabdalrahim, H., Schwab, S., Weih, M., & Maier, A. (2020). Automatic dementia screening and scoring by applying deep learning on clock-drawing tests. Scientific Reports, 10, 1-11. https://dx.doi.org/10.1038/s41598-020-74710-9
Chen, S., Zhong, X., Hu, S., Dorn, S., Kachelriess, M., Lell, M., & Maier, A. (2020). Automatic Multi-organ Segmentation in Dual Energy CT (DECT) with Dedicated 3D Fully Convolutional DECT Networks. Medical Physics, 47(2), 552-562. https://dx.doi.org/10.1002/mp.13950
Cowger, W., Gray, A., Christiansen, S.H., DeFrond, H., Deshpande, A.D., Hemabessiere, L.,... Primpke, S. (2020). Critical Review of Processing and Classification Techniques for Images and Spectra in Microplastic Research. Applied Spectroscopy, 74(9), 989-1010. https://dx.doi.org/10.1177/0003702820929064
Denck, J., Ferguson, G.W., Guehring, J., Maier, A., & Rothgang, E. (2020). Acquisition Parameter–Conditioned Generative Adversarial Network for Enhanced MR Image Synthesis. Paper presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition, Virtual.
Denzinger, F., Wels, M., Breininger, K., Gülsün, M.A., Schöbinger, M., Andre, F.,... Maier, A. (2020). Automatic CAD-RADS Scoring using Deep Learning. In Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Lima, Peru: Cham: Springer.
Denzinger, F., Wels, M., Breininger, K., Reidelshöfer, A., Eckert, J., Sühling, M.,... Maier, A. (2020). Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. In Proceedings of the BVM Workshop 2020. Berlin, DE.
Denzinger, F., Wels, M., Breininger, K., Reidelshöfer, A., Eckert, J., Sühling, M.,... Maier, A. (2020). Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics. Paper presentation at BVM Workshop 2020, Berlin, DE.
Eckert, D., Vesal, S., Ritschl, L., Kappler, S., & Maier, A. (2020). Deep learning-based denoising of mammographic images using physics-driven data augmentation. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 94-100). Berlin, DE: Springer.
Ellmann, S., Wenkel, E., Dietzel, M., Bielowski, C., Vesal, S., Maier, A.,... Bäuerle, T. (2020). Implementation of machine learning into clinical breast MRI: Potential for objective and accurate decision-making in suspicious breast masses. PLoS ONE, 1-15, 1-15. https://dx.doi.org/10.1371/journal.pone.0228446
Eyigoz, E., Courson, M., Sedeño, L., Rogg, K., Orozco-Arroyave, J.R., Nöth, E.,... García, A.M. (2020). From discourse to pathology: Automatic identification of Parkinson's disease patients via morphological measures across three languages. Cortex, 132, 191-205. https://dx.doi.org/10.1016/j.cortex.2020.08.020
Fan, F., Qiu, J., Wang, J., Valianos, S., Farooq, M.M., Fu, W.,... Maier, A. (2020). Odin’s Eye – A Close Look at Gamification of Labelling of Ophthalmic Diseases. Paper presentation at Joint Conference of the GMDS & CEN-IBS 2020, Online Streaming.
Felsner, L., Käppler, S., Maier, A., & Riess, C. (2020). Truncation Correction for X-ray Phase-Contrast Region-of-Interest Tomography. IEEE Transactions on Computational Imaging, 6, 625 - 639. https://dx.doi.org/10.1109/TCI.2020.2964217
Felsner, L., Würfl, T., Syben, C., Roser, P., Preuhs, A., Maier, A., & Riess, C. (2020). Reconstruction of Voxels with Position- and Angle-Dependent Weightings. In Proceedings of the The 6th International Conference on Image Formation in X-Ray Computed Tomography. Online meeting.
Ferrer Riesgo, C.A., & Nöth, E. (2020). What Makes the Cepstral Peak Prominence Different to Other Acoustic Correlates of Vocal Quality? Journal of Voice. https://dx.doi.org/10.1016/j.jvoice.2019.01.004
Fu, W., Breininger, K., Pan, Z., & Maier, A. (2020). Degenerating u-net on retinal vessel segmentation: What do we really need? In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 33-38). Berlin, DE: Springer.
Fu, W., Husvogt, L., Ploner, S., Fujimoto, J.G., & Maier, A. (2020). Modularization of deep networks allows cross-modality reuse: lesson learnt. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 274-279). Berlin, DE: Springer.
Gadjimuradov, F., Benkert, T., Nickel, M.D., & Maier, A. (2020). Deep Recurrent Partial Fourier Reconstruction in Diffusion MRI. In Farah Deeba, Patricia Johnson, Tobias Würfl, Jong Chul Ye (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 38-47). Lima, PE: Springer Science and Business Media Deutschland GmbH.
Gadjimuradov, F., Yoon, S.S., Benkert, T., Nickel, M.D., Engelhard, K., & Maier, A. (2020). Deep Learning-based Partial Fourier Reconstruction for Improved Prostate DWI. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition. Paris.
Gaffling, S. (2020). Volumetric Histology-3D-reconstruction of histological tissue slices for a better functional understanding. In JOURNAL OF ANATOMY (pp. 49-49). HOBOKEN: WILEY.
Gao, C., Farvardin, A., Grupp, R., Bakhtiarinejad, M., Ma, L., Thies, M.,... Armand, M. (2020). Fiducial-Free 2D/3D Registration for Robot-Assisted Femoroplasty. IEEE Transactions on Medical Robotics and Bionics, 2(3), 437-446. https://dx.doi.org/10.1109/TMRB.2020.3012460
Goetz, T.I., Lang, E.W., Prante, O., Maier, A., Cordes, M., Kuwert, T.,... Schmidkonz, C. (2020). Three-dimensional Monte Carlo-based voxel-wise tumor dosimetry in patients with neuroendocrine tumors who underwent 177Lu-DOTATOC therapy. Annals of Nuclear Medicine. https://dx.doi.org/10.1007/s12149-020-01440-3
Gottschalk, T., Kreher, B.W., & Maier, A. (2020). Deep Learning Based Metal Inpainting in the Projection Domain using Additional Neighboring Projection Information. In Proceedings of The 6th International Conference on Image Formation in X-Ray Computed Tomography (pp. 276-279). Online Meeting.
Gouet-Brunet, V., Khokhlova, M., Kosti, R.V., Chen, L., & Yin, X.C. (2020). SUMAC 20 Chairs Welcome. In SUMAC 2020 - Proceedings of the 2nd Workshop on Structuring and Understanding of Multimedia heritAge Contents (pp. iii-). Association for Computing Machinery, Inc.
Gourmelon, N., Bayer, S., Mayle, M., Bach, G., Bebber, C., Munck, C.,... Maier, A. (2020). Implications of Experiment Set-Ups for Residential Water End-Use Classification. In Proceedings of the 5th International Electronic Conference on Water Sciences. St Alban-anlage 66, Ch-4052 Basel, Switzerland: MDPI.
Guo, Z., Lauritsch, G., Maier, A., Kugler, P., Islam, M., Vogt, F., & Noo, F. (2020). C-arm CT imaging with the extended line-ellipse-line trajectory: First implementation on a state-of-the-art robotic angiography system. Physics in Medicine and Biology, 65(18). https://dx.doi.org/10.1088/1361-6560/ab9a82
Guo, Z., Lauritsch, G., Maier, A., & Noo, F. (2020). C-arm CT imaging using the extended line-ellipse-line trajectory: Seamless FBP reconstruction from real data. In Guang-Hong Chen, Hilde Bosmans (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Houston, TX, US: SPIE.
Götz, T., Schmidkonz, C., Chen, S., Al-Baddai, S., Kuwert, T., & Lang, E.W. (2020). A deep learning approach to radiation dose estimation. Physics in Medicine and Biology, 65(3), 035007-. https://dx.doi.org/10.1088/1361-6560/ab65dc
Gündel, S., & Maier, A. (2020). Epoch-wise label attacks for robustness against label noise. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Bildverarbeitung für die Medizin 2020 (pp. 287-292). Springer Vieweg.
Gündel, S., Setio, A., Grbic, S., Maier, A., & Comaniciu, D. (2020). Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. In Liu M., Yan P., Lian C., Cao X. (Eds.), Machine Learning in Medical Imaging (pp. 504 - 512). Springer.
Haase, V., Hahn, K., Schoendube, H., Stierstorfer, K., Maier, A., & Noo, F. (2020). Single Material Beam Hardening Correction in CT Using an Analytical Energy Response Model. Paper presentation at 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Boston, MA, USA, US.
Haase, V., Stierstorfer, K., Hahn, K., Schöndube, H., Maier, A., & Noo, F. (2020). An improved combination of ordered subsets and momentum for fast model-based iterative CT reconstruction. In Guang-Hong Chen, Hilde Bosmans (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Houston, TX, US: SPIE.
Hariharan, S.G., Strobel, N., Kaethner, C., Kowarschik, M., Fahrig, R., & Navab, N. (2020). Data-driven estimation of noise variance stabilization parameters for low-dose X-ray images. Physics in Medicine and Biology, 65(22). https://dx.doi.org/10.1088/1361-6560/abbc82
Herl, G., Hiller, J., & Maier, A. (2020). Scanning trajectory optimisation using a quantitative Tuybased local quality estimation for robot-based X-ray computed tomography. Nondestructive Testing and Evaluation. https://dx.doi.org/10.1080/10589759.2020.1774579
Hoppe, E., Thamm, F., Koerzdoerfer, G., Syben, C., Nittka, M., Pfeuffer, J.,... Maier, A. (2020, March). RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting. Paper presentation at Bilderverarbeitung für die Medizin Algorithmen - Systeme - Anwendungen, Berlin, DE.
Hoppe, E., Wetzl, J., Yoon, S.S., Schneider, M., Stimpel, B., Preuhs, A., & Maier, A. (2020). DeepECG: Towards 3-D Continuous Cardiac MRI without ECG-Gating - Deep Learningbased R-Wave Classification for Automated Cardiac Phase Binning. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition. Sydney, AU.
Hoßbach, J., Husvogt, L., Kraus, M., Fujimoto, J.G., & Maier, A. (2020). Deep OCT angiography image generation for motion artifact suppression. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 248-253). Berlin, DE: Springer.
Huang, Y. (2020). Consistency Conditions, Compressed Sensing and Machine Learning for Limited Angle Tomography (Dissertation).
Huang, Y., Gao, L., Preuhs, A., & Maier, A. (2020). Field of View Extension in Computed Tomography Using Deep Learning Prior. In Andreas Maier, Klaus Hermann Maier-Hein, Thomas Martin Deserno, Heinz Handels, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin: Algorithmen – Systeme – Anwendungen. Berlin, DE: Springer.
Huang, Y., Wang, S., Guan, Y., & Maier, A. (2020). Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning. Journal of Synchrotron Radiation. https://dx.doi.org/10.1107/S160057752000017X
Huang, Z., Jiang, Z., Hu, Y., Zou, D., Yu, Y., Ren, Q.,... Lu, Y. (2020). Retinal choroidal vessel imaging based on multi-wavelength fundus imaging with the guidance of optical coherence tomography. Biomedical Optics Express, 11(9), 5212-5224. https://dx.doi.org/10.1364/BOE.397750
Husvogt, L., Ploner, S., Stromer, D., Schottenhamml, J., Moult, E., Fujimoto, J.G., & Maier, A. (2020). Compressed sensing for optical coherence tomography angiography volume generation. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 82-87). Berlin, DE: Springer.
Jaremenko, C., Affronti, E., Merklein, M., & Maier, A. (2020). Temporal and spatial detection of the onset of local necking and assessment of its growth behavior. Materials, 13(11). https://dx.doi.org/10.3390/ma13112427
Jiang, Z., Huang, Z., Qiu, B., Liu, X., Meng, X., You, Y.,... Lu, Y. (2020). Comparative Study of Deep Learning Models for Optical Coherence Tomography Angiography. Biomedical Optics Express, 11(3), 1216-1632. https://dx.doi.org/10.1364/BOE.387807
Jordan, S., Seuret, M., Král, P., Lenc, L., Martínek, J., Wiermann, B.,... Christlein, V. (2020). Re-Ranking for Writer Identification and Writer Retrieval. In Document Analysis Systems. (pp. 572-586).
Kacha, A., Grenez, F., Orozco Arroyave, J.R., & Schoentgen, J. (2020). Principal component analysis of the spectrogram of the speech signal: Interpretation and application to dysarthric speech. Computer Speech and Language, 59, 114-122. https://dx.doi.org/10.1016/j.csl.2019.07.001
Kara, D.D., Ring, M., Hennig, F., & Michelson, G. (2020). Effects of Mild Traumatic Brain Injury on Stereopsis Detected by a Virtual Reality System: Attempt to Develop a Screening Test. Journal of Medical and Biological Engineering. https://dx.doi.org/10.1007/s40846-020-00542-7
Karan, B., Sahu, S.S., Orozco Arroyave, J.R., & Mahto, K. (2020). Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech. Biomedical Signal Processing and Control, 61. https://dx.doi.org/10.1016/j.bspc.2020.102018
Klumpp, P., Arias-Vergara, T., Vasquez Correa, J., Pérez Toro, P.A., Hönig, F.T., Nöth, E., & Orozco-Arroyave, J.-R. (2020). Surgical mask detection with deep recurrent phonetic models. In Proceedings of the 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 (pp. 2057-2061). International Speech Communication Association.
Klumpp, P., Fritsch, J.D., & Nöth, E. (2020). ANN-based Alzheimer's disease classification from bag of words. In Speech Communication - 13th ITG-Fachtagung Sprachkommunikation (pp. 341-344). Oldenburg, DE: VDE Verlag GmbH.
Kordon, F.J., Fischer, P., Privalov, M., Swartman, B., Schnetzke, M., Franke, J.,... Kunze, H. (2020, February). Multi-Task Framework for X-Ray Guided Planning in Knee Surgery. Poster presentation at Bildverarbeitung für die Medizin 2020, Berlin, DE.
Kordon, F.J., Maier, A., Swartman, B., & Kunze, H. (2020). Font Augmentation: Implant and Surgical Tool Simulation for X-Ray Image Processing. In Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (Eds.), Bildverarbeitung für die Medizin 2020 (pp. 176-182). Berlin, DE: Wiesbaden: Springer Vieweg.
Kuhnert, N., & Maier, A. (2020). With Semantics and Hidden Markov Models to an Adaptive Log File Parser. International Journal on Natural Language Computing.
Kuhnert, N., Pflueger, L., & Maier, A. (2020). Prediction of MRI Hardware Failures based on Image Features using Ensemble Learning. In Proceedings of the Bildverarbeitung für die Medizin 2020. Berlin, DE.
Kuhnert, N., Pflueger, L., & Maier, A. (2020). Prediction of MRI Hardware Failures based on Image Features using Time Series Classification. In Proceedings of the Bildverarbeitung für die Medizin. Berlin.
Lai, W.-C., & Schröter, H. (2020). Ubicomp Digital 2020 - Handwriting classification using a convolutional recurrent network.
Leipert, M., Vogeler, G., Seuret, M., Maier, A., & Christlein, V. (2020). The Notary in the Haystack – Countering Class Imbalance in Document Processing with CNNs. In Xiang Bai, Dimosthenis Karatzas, Daniel Lopresti (Eds.), Document Analysis Systems. (pp. 246-261).
Liu, C., Huang, Y., Maier, J., Klein, L., Kachelriess, M., & Maier, A. (2020). Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization. In Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization.
Luckner, C., Herbst, M., Fuhrmann, M., Ritschl, L., Kappler, S., & Maier, A. (2020). Combining 2-D and 3-D weight-bearing x-ray images: Application to preoperative implant planning in the knee. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 335-340). Berlin, DE: Springer.
Luckner, C., Weber, T., Herbst, M., Ritschl, L., Kappler, S., & Maier, A. (2020). A phantom study on dose efficiency for orthopedic applications: Comparing slot-scanning radiography using ultra-small-angle tomosynthesis to conventional radiography. Medical Physics. https://dx.doi.org/10.1002/mp.14680
Madhu, P., Kosti, R.V., Bendschus, T., Reinhardt, C., Bell, P., Christlein, V., & Maier, A. (2020). Deep Learning based Attribute Representation in Ancient Vase Paintings. In Digital Humanities 2020 - Intersections/Carrefours. Ottawa, Canada, CA.
Madhu, P., Kosti, R.V., Bendschus, T., Reinhardt, C., & Maier, A. (2020). Computer Vision Understanding of Narrative Strategies on Greek Vases. In Computer Applications and Quantitative Methods in Archaeology. Oxford, UK, GB.
Madhu, P., Marquart, T., Kosti, R.V., Bell, P., Maier, A., & Christlein, V. (2020). Understanding Compositional Structures in Art Historical Images Using Pose and Gaze Priors. In Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm (Eds.), Computer Vision – ECCV 2020 Workshops. ECCV 2020 (pp. 109-125). Glasgow, GB: Switzerland: Springer, Cham.
Maier, J., Nitschke, M., Choi, J.-H., Gold, G., Fahrig, R., Eskofier, B., & Maier, A. (2020). Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. (pp. 14-23).
Maier, J., Rivera Monroy, L., Syben, C., Jeon, Y., Choi, J.-H., Hall, M.,... Maier, A. (2020). Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Bildverarbeitung für die Medizin 2020. (pp. 67-72). Wiesbaden: Springer Vieweg.
Maloca, P.M., Spaide, R.F., de Carvalho, E.R., Studer, H.P., W Hasler, P., Scholl, H.P.,... Egan, C. (2020). Novel biomarker of sphericity and cylindricity indices in volume-rendering optical coherence tomography angiography in normal and diabetic eyes: a preliminary study. Graefes Archive For Clinical and Experimental Ophthalmology. https://dx.doi.org/10.1007/s00417-019-04582-x
Martín Vicario, C., Kordon, F.J., Denzinger, F., Weiten, M., Thomas, S., Kausch, L.,... Kunze, H. (2020). Automatic Plane Adjustment of Orthopedic Intraoperative Flat Panel Detector CT-Volumes. In Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 (pp. 486-495). Lima, PE: Cham: Springer.
Marzahl, C., Aubreville, M., Bertram, C.A., Gerlach, S., Maier, J., Voigt, J.,... Maier, A. (2020). Is crowd-algorithm collaboration an advanced alternative to crowd-sourcing on cytology slides? In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 26-31). Berlin, DE: Springer.
Marzahl, C., Aubreville, M., Bertram, C.A., Stayt, J., Jasensky, A.K., Bartenschlager, F.,... Maier, A. (2020). Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides. Scientific Reports, 10(1). https://dx.doi.org/10.1038/s41598-020-65958-2
Marzahl, C., Bertram, C.A., Aubreville, M., Petrick, A., Weiler, K., Gläsel, A.C.,... Maier, A. (2020). Are fast labeling methods reliable? a case study of computer-aided expert annotations on microscopy slides. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 24-32). Lima, PE: Springer Science and Business Media Deutschland GmbH.
Mayr, M., Stumpf, M., Nicolaou, A., Seuret, M., Maier, A., & Christlein, V. (2020). Spatio-Temporal Handwriting Imitation. In Springer, Cham (Eds.), Proceedings of the European Conference on Computer Vision (pp. 528-543). Online.
Meister, F., Houle, H., Nita, C., Puiu, A., Mihai Itu, L., & Rapaka, S. (2020). Additional clinical applications. In Tommaso Mansi, Tiziano Passerini, Dorin Comaniciu (Eds.), Artificial Intelligence for Computational Modeling of the Heart. (pp. 183-210).
Meister, F., Passerini, T., Mihalef, V., Tuysuzoglu, A., Maier, A., & Mansi, T. (2020). Deep learning acceleration of Total Lagrangian Explicit Dynamics for soft tissue mechanics. Computer Methods in Applied Mechanics and Engineering, 358. https://dx.doi.org/10.1016/j.cma.2019.112628
Mihai Itu, L., Meister, F., Sharma, P., & Passerini, T. (2020). Data-driven reduction of cardiac models. In Tommaso Mansi, Tiziano Passerini and Dorin Comaniciu (Eds.), Artificial Intelligence for Computational Modeling of the Heart. (pp. 117-160).
Miller, G.F., Vasquez Correa, J., & Nöth, E. (2020). Assessing the dysarthria level of parkinson’s disease patients with gmm-ubm supervectors using phonological posteriors and diadochokinetic exercises. In Petr Sojka, Ivan Kopecek, Karel Pala, Aleš Horák (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 356-365). Brno, CZ: Springer Science and Business Media Deutschland GmbH.
Moult, E.M., Alibhai, A.Y., Lee, B.K., Yu, Y., Ploner, S., Chen, S.,... Fujimoto, J.G. (2020). A Framework for Multiscale Quantitation of Relationships Between Choriocapillaris Flow Impairment and Geographic Atrophy Growth. American Journal of Ophthalmology. https://dx.doi.org/10.1016/j.ajo.2019.12.006
Nanji, A., Redd, T., Chamberlain, W., Schallhorn, J.M., Chen, S., Ploner, S.,... Li, Y. (2020). Application of Corneal Optical Coherence Tomography Angiography for Assessment of Vessel Depth in Corneal Neovascularization. Cornea, 39(5), 598-604. https://dx.doi.org/10.1097/ICO.0000000000002232
Nau, M.A., Ploner, S., Moult, E.M., Fujimoto, J.G., & Maier, A. (2020). Open source simulation of fixational eye drift motion in oct scans: Towards better comparability and accuracy in retrospective OCT motion correction. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 254-259). Berlin, DE: Springer.
Nejati Hatamian, F., Ravikumar, N., Vesal, S., Kemeth, F.P., Struck, M., & Maier, A. (2020). The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. In Proceedings of the 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020). Barcelona, Spain, ES: IEEE.
Orozco-Arroyave, J.R., Vasquez Correa, J., Klumpp, P., Pérez Toro, P.A., Escobar-Grisales, D., Roth, N.,... Nöth, E. (2020). Apkinson: the smartphone application for telemonitoring Parkinson's patients through speech, gait and hands movement. Neurodegenerative Disease Management. https://dx.doi.org/10.2217/nmt-2019-0037
Orozco-Arroyave, J.R., Vasquez Correa, J., & Nöth, E. (2020). Current methods and new trends in signal processing and pattern recognition for the automatic assessment of motor impairments: the case of Parkinson's disease. In Ayman El-Baz and Jasjit S Suri (Eds.), Neurological Disorders and Imaging Physics, Volume 5 Applications in dyslexia, epilepsy and Parkinson's. IOP.
Patwari, M., Gutjahr, R., Raupach, R., & Maier, A. (2020). JBFnet - Low Dose CT Denoising by Trainable Joint Bilateral Filtering. In Martel, A.L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M.A., Zhou, S.K., Racoceanu, D., Joskowicz, L. (Eds.), Proceedings of the 23rd International Conference on Medical Image Computing and Computer Assisted Surgery (MICCAI) (pp. 506 - 515). Lima, Peru, PE: Springer.
Patwari, M., Gutjahr, R., Raupach, R., & Maier, A. (2020). Low Dose CT Denoising via Joint Bilateral Filtering and Intelligent Parameter Optimization. In Proceeding of the 6th International Conference on Image Formation in X-Ray Computed Tomography (pp. 174 - 177). Regensburg, DE.
Patwari, M., Gutjahr, R., Raupach, R., & Maier, A. (2020, July). Low dose CT denoising with residual convolutional networks and deep learned perceptual loss. Poster presentation at European Congress of Radiology, Vienna, Austria, AT.
Ploner, S., Schottenhamml, J., Moult, E.M., Waheed, N.K., Duker, J.S., Fujimoto, J.G., & Maier, A. (2020). 3-D tracing of capillaries through three retinal vascular plexuses toward their closest superficial artery and vein in OCT angiography volumes. Poster presentation at ARVO annual meeting 2020, US.
Preuhs, A., Manhart, M., Roser, P., Hoppe, E., Huang, Y., Psychogios, M.,... Maier, A. (2020). Appearance Learning for Image-based Motion Estimation in Tomography. IEEE Transactions on Medical Imaging. https://dx.doi.org/10.1109/TMI.2020.3002695
Preuhs, A., Manhart, M., Roser, P., Stimpel, B., Syben, C., Psychogios, M.,... Maier, A. (2020). Deep autofocus with cone-beam CT consistency constraint. In Proceedings of the Bildverarbeitung für die Medizin. Berlin, DE.
Pérez Toro, P.A., Vasquez Correa, J., Arias-Vergara, T., Nöth, E., & Orozco-Arroyave, J.R. (2020). Nonlinear dynamics and Poincare sections to model gait impairments in different stages of Parkinson's disease. Nonlinear Dynamics, 100(4), 3253-3276. https://dx.doi.org/10.1007/s11071-020-05691-7
Pérez-Toro, P.A., Vasquez Correa, J., Arias-Vergara, T., Nöth, E., & Orozco Arroyave, J.R. (2020). Nonlinear dynamics and Poincaré sections to model gait impairments in different stages of Parkinson’s disease. Nonlinear Dynamics. https://dx.doi.org/10.1007/s11071-020-05691-7
Qiu, B., Huang, Z., Liu, X., Meng, X., You, Y., Liu, G.,... Lu, Y. (2020). Noise reduction in optical coherence tomography images using a deep neural network with perceptually-sensitive loss function. Biomedical Optics Express, 11(2), 817-830. https://dx.doi.org/10.1364/BOE.379551
Qiu, B., You, Y., Huang, Z., Meng, X., Jiang, Z., Zhou, C.,... Lu, Y. (2020). N2NSR-OCT: Simultaneous denoising and super-resolution in optical coherence tomography images using semisupervised deep learning. Journal of Biophotonics. https://dx.doi.org/10.1002/jbio.202000282
Restrepo-Uribe, J.P., Roldan-Vasco, S., Perez-Giraldo, E., Orozco Arroyave, J.R., & Orozco-Duque, A. (2020). Electrophysiological and Mechanical Approaches to the Swallowing Analysis. In Juan Carlos Figueroa-García, Fabián Steven Garay-Rairán, Germán Jairo Hernández-Pérez, Yesid Díaz-Gutierrez (Eds.), Communications in Computer and Information Science (pp. 281-290). Bogota, CO: Springer Science and Business Media Deutschland GmbH.
Reymann, M., Massanes, F., Ritt, P., Cachovan, M., Kuwert, T., Vija, A.H., & Maier, A. (2020, November). Feature Loss After Denoising of SPECT Projection Data using a U-Net. Poster presentation at 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, Boston, Massachusetts, US.
Rios-Urrego, C.D., Vasquez Correa, J., Orozco Arroyave, J.R., & Nöth, E. (2020). Transfer learning to detect parkinson’s disease from speech in different languages using convolutional neural networks with layer freezing. In Petr Sojka, Ivan Kopecek, Karel Pala, Aleš Horák (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 331-339). Brno, CZ: Springer Science and Business Media Deutschland GmbH.
Rodríguez Salas, D., Mürschberger, N., Ravikumar, N., Seuret, M., & Maier, A. (2020). Mapping Ensembles of Trees to Sparse, Interpretable Multilayer Perceptron Networks. SN Computer Science, 1(5). https://dx.doi.org/10.1007/s42979-020-00268-y
Rodríguez Salas, D., Ravikumar, N., Seuret, M., & Maier, A. (2020). ForestNet – Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees. In Pattern Recognition. Auckland, New Zealand, NZ: Springer International Publishing.
Roser, P., Birkhold, A., Preuhs, A., Kowarschik, M., Fahrig, R., & Maier, A. (2020). Tenfold your photons: A physically-sound approach to filtering-based variance reduction of monte-carlo-simulated dose distributions. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 113-118). Berlin, DE: Springer.
Roser, P., Birkhold, A., Preuhs, A., Ochs, P., Stepina, E., Strobel, N.,... Maier, A. (2020). XDose: toward online cross-validation of experimental and computational X-ray dose estimation. International Journal of Computer Assisted Radiology and Surgery. https://dx.doi.org/10.1007/s11548-020-02298-6
Roser, P., Birkhold, A., Preuhs, A., Stimpel, B., Syben, C., Strobel, N.,... Maier, A. (2020). Fully-automatic CT data preparation for interventional X-ray skin dose simulation. In Informatik Aktuell Bildverarbeitung für die Medizin 2020 Algorithmen - Systeme - Anwendungen (pp. 1-6). Berlin, DE.
Roser, P., Birkhold, A., Preuhs, A., Syben, C., Strobel, N., Kowarschik, M.,... Maier, A. (2020). Deep Scatter Splines: Learning-Based Medical X-ray Scatter Estimation Using B-splines. In Proceedings of the The 6th International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting). Regensburg (virtuell).
Roser, P., Zhong, X., Birkhold, A., Preuhs, A., Syben, C., Hoppe, E.,... Maier, A. (2020). Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning. In Anne L. Marte, lPurang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. (pp. 199-208).
Schaffert, R., Wang, J., Fischer, P., Borsdorf, A., & Maier, A. (2020). Learning-based misalignment detection for 2-D/3-D overlays. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 230-235). Berlin, DE: Springer.
Schaffert, R., Wang, J., Fischer, P., Borsdorf, A., & Maier, A. (2020). Learning an Attention Model for Robust 2-D/3-D Registration Using Point-To-Plane Correspondences. IEEE Transactions on Medical Imaging, 39(10), 3159-3174. https://dx.doi.org/10.1109/TMI.2020.2988410
Schaffert, R., Wang, J., Fischer, P., Maier, A., & Borsdorf, A. (2020). Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model. IEEE Transactions on Medical Imaging, 39(1), 161-174. https://dx.doi.org/10.1109/TMI.2019.2922931
Schaffert, R., Weiß, M., Wang, J., Borsdorf, A., & Maier, A. (2020). Learning-based correspondence estimation for 2-D/3-D registration. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 222-228). Berlin, DEU: Springer.
Schirrmacher, F., Lorch, B., Stimpel, B., Köhler, T., & Riess, C. (2020). SR²: Super-Resolution With Structure-Aware Reconstruction. In Proceedings of the 2020 IEEE International Conference on Image Processing (ICIP) (pp. 533-537). Online.
Schirrmacher, F., Riess, C., & Köhler, T. (2020). Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems. IEEE Transactions on Computational Imaging, 6(1), 503--517. https://dx.doi.org/10.1109/TCI.2019.2956888
Schmidkonz, C., Atzinger, A., Götz, T., Beck, M., Ritt, P., Prante, O.,... Cordes, M. (2020). 99mTc-MIP-1404 SPECT/CT for Patients With Metastatic Prostate Cancer: Interobserver and Intraobserver Variability in Treatment-Related Longitudinal Tracer Uptake Assessments of Prostate-Specific Membrane Antigen-Positive Lesions. Clinical Nuclear Medicine, 45(2), 105-112. https://dx.doi.org/10.1097/RLU.0000000000002880
Schmidkonz, C., Krumbholz, M., Atzinger, A., Cordes, M., Götz, T., Prante, O.,... Metzler, M. (2020). Correction to: Assessment of treatment responses in children and adolescents with Ewing sarcoma with metabolic tumor parameters derived from 18F-FDG-PET/CT and circulating tumor DNA (European Journal of Nuclear Medicine and Molecular Imaging, (2019), 10.1007/s00259-019-04649-1). European Journal of Nuclear Medicine and Molecular Imaging. https://dx.doi.org/10.1007/s00259-019-04672-2
Schneider, M., Benkert, T., Solomon, E., Nickel, D., Fenchel, M., Kiefer, B.,... Block, K.T. (2020). Free-breathing fat and R2∗ quantification in the liver using a stack-of-stars multi-echo acquisition with respiratory-resolved model-based reconstruction. Magnetic Resonance in Medicine. https://dx.doi.org/10.1002/mrm.28280
Schottenhamml, J., Ploner, S., Moult, E., Duker, J.S., Waheed, N.K., Fujimoto, J.G., & Maier, A. (2020). Fully automatic separation of three capillary plexuses in the macular region. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. ONLINE: ROCKVILLE: ASSOC RESEARCH VISION OPHTHALMOLOGY INC.
Schröter, H., Rosenkranz, T., Escalante Banuelos, A., Aubreville, M., & Maier, A. (2020). CLCNet: Deep learning-based noise reduction for hearing aids using complex linear coding. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Barcelona, ES.
Schröter, H., Rosenkranz, T., Escalante Banuelos, A., & Maier, A. (2020). CLC: Complex Linear Coding for the DNS 2020 Challenge.
Schröter, H., Rosenkranz, T., Escalante Banuelos, A., Zobel, P., & Maier, A. (2020). Lightweight Online Noise Reduction on Embedded Devices using Hierarchical Recurrent Neural Networks. In INTERSPEECH 2020. Shanghai, CN.
Schuller, B., Batliner, A., Bergler, C., Messner, E.-M., Hamilton, A., Amiriparian, S.,... Hantke, S. (2020). The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 (pp. 2042-2046). Shanghai, China: International Speech Communication Association.
Seifer, A.-K., Schinkel-Bielefeld, N., Schröter, H., Escalante Banuelos, A., Hoppe, U., & Maier, A. (2020). Predicting Hearing Aid Fittings Based on Audiometric and Subject-Related Data: A Machine Learning Approach. In Virtual Conference on Computational Audiology (VCCA2020). Virtual.
Seuret, M., Nicolaou, A., Stutzmann, D., Maier, A., & Christlein, V. (2020). ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments. In IEEE (Eds.), Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition (ICFHR) (pp. 216-221). Dortmund, DE.
Stromer, D., Moult, E.M., Chen, S., Waheed, N.K., Maier, A., & Fujimoto, J.G. (2020). Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation. Biomedical Optics Express, 11(5), 2830-2848. https://dx.doi.org/10.1364/BOE.392759
Syben, C., Stimpel, B., Roser, P., Dörfler, A., & Maier, A. (2020). Known Operator Learning enables Constrained Projection Geometry Conversion: Parallel to Cone-beam for Hybrid MR/X-ray Imaging. IEEE Transactions on Medical Imaging, 1-1. https://dx.doi.org/10.1109/TMI.2020.2998179
Taubmann, O., Li, J., Denzinger, F., Eibenberger, E., Müller, F., Brejnebøl, M., & Maier, A. (2020). Automatic Detection of Free Intra-Abdominal Air in Computed Tomography. In Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Lima, PE: Cham: Springer.
Taylor, R.W., Holler, C., Mahmoodabadi, R.G., Küppers, M., Mirzaalian Dastjerdi, H., Zaburdaev, V.,... Sandoghdar, V. (2020). High-Precision Protein-Tracking With Interferometric Scattering Microscopy. Frontiers in Cell and Developmental Biology, 8. https://dx.doi.org/10.3389/fcell.2020.590158
Thamm, F., Jürgens, M., Ditt, H., & Maier, A. (2020). VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data. In K. Nieselt and R. G. Raidou (Eds.), Eurographics Workshop on Visual Computing for Biology and Medicine (pp. 5). Uni Tübingen, DE.
Thies, M., Zäch, J.N., Gao, C., Taylor, R., Navab, N., Maier, A., & Unberath, M. (2020). A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance. International Journal of Computer Assisted Radiology and Surgery, 15(11), 1787-1796. https://dx.doi.org/10.1007/s11548-020-02249-1
Tolxdorff, T., Deserno, T., Maier, A., Handels, H., Maier-Hein, K., & Palm, C. (2020). Vorwort. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik Aktuell. (pp. XI-XII). Springer.
Utzschneider, M., Behl, N.G., Lachner, S., Gast, L., Maier, A., Uder, M., & Nagel, A.M. (2020). Correction to: Accelerated quantification of tissue sodium concentration in skeletal muscle tissue: quantitative capability of dictionary learning compressed sensing (Magnetic Resonance Materials in Physics, Biology and Medicine, (2020), 10.1007/s10334-019-00819-2). Magnetic Resonance Materials in Physics Biology and Medicine. https://dx.doi.org/10.1007/s10334-020-00835-7
Utzschneider, M., Behl, N.G.R., Lachner, S., Gast, L., Maier, A., Uder, M., & Nagel, A.M. (2020). T-2* Accelerated quantification of tissue sodium concentration in skeletal muscle tissue: quantitative capability of dictionary learning compressed sensing. Magnetic Resonance Materials in Physics Biology and Medicine. https://dx.doi.org/10.1007/s10334-019-00819-2
Vasquez Correa, J., Arias-Vergara, T., Schuster, M., Orozco Arroyave, J.R., & Nöth, E. (2020). Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson's Disease and Cleft Lip and Palate. Speech Communication, 122, 56-67. https://dx.doi.org/10.1016/j.specom.2020.07.005
Vasquez Correa, J., Bocklet, T., Orozco Arroyave, J.R., & Nöth, E. (2020). Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson’s Disease Patients. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Barcelona, ES: IEEE.
Venator, M., Shen, F., Aklanoglu, S., Bruns, E., Diepold, K., & Maier, A. (2020). Dual-Mode Training with Style Control and Quality Enhancement for Road Image Domain Adaptation. In 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) (pp. 1757-1766). Snowmass Village, Colorado, US: IEEE.
Vesal, S., Gu, M., Maier, A., & Ravikumar, N. (2020). Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification. IEEE Journal of Biomedical and Health Informatics. https://dx.doi.org/10.1109/JBHI.2020.3046449
Vesal, S., Maier, A., & Ravikumar, N. (2020). Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks. Journal of Imaging, 6. https://dx.doi.org/10.3390/jimaging6070065
Weichselbaumer, N., Seuret, M., Limbach, S., Dong, R., Burghardt, M., & Christlein, V. (2020). New Approaches to OCR for Early Printed Books. DigItalia, 2. https://dx.doi.org/10.36181/digitalia-00015
Weichselbaumer, N., Seuret, M., Limbach, S., Hinrichsen, L., Maier, A., & Christlein, V. (2020, February). The rapid rise of Fraktur. Paper presentation at 7. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, Paderborn, DE.
Werner, R., Sentker, T., Madesta, F., Schwarz, A., Vornehm, M., Gauer, T., & Hofmann, C. (2020). Intelligent 4D CT sequence scanning (i4DCT): First scanner prototype implementation and phantom measurements of automated breathing signal-guided 4D CT. Medical Physics, 47(6), 2408-2412. https://dx.doi.org/10.1002/mp.14106
Würfl, T., Maass, N., Dennerlein, F., & Maier, A. (2020). Projective Reconstruction of Acquisition Geometry without Point Correspondences. In Proceedings of the 6th International Conference on Image Formation in X-Ray Computed Tomography (pp. 264 - 267). Online meeting, DE.
Xiao, Y., Maier, A., Wein, W., Shams, R., Kadoury, S., Drobny, D.,... Zhong, X. (2020). Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge. IEEE Transactions on Medical Imaging, 39(3), 777-786. https://dx.doi.org/10.1109/TMI.2019.2935060
Xu, Y., Hoppe, E., Speier, P., Kluge, T., Nittka, M., Koerzdoerfer, G., & Maier, A. (2020). Learning how to Clean Fingerprints -- Deep Learning based Separated Artefact Reduction and Regression for MR Fingerprinting. In Proceedings of the ISMRM Workshop on Data Sampling & Image Reconstruction. Sedona, US.
Xu, Y., Hoppe, E., Speier, P., Kluge, T., Nittka, M., Koerzdoerfer, G., & Maier, A. (2020). Learning how to Clean Fingerprints -- Deep Learning based Separated Artefact Reduction and Regression for MR Fingerprinting. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition. Sydney, AU.
Yang, K., Zhai, X., Xie, Z., Zhou, K., Meng, X., Ren, Q., & Lu, Y. (2020). A practical calibration criterion for image-based material decomposition in spectral computed tomography. AEJ - Alexandria Engineering Journal. https://dx.doi.org/10.1016/j.aej.2020.03.009
Yoon, S.S., Hoppe, E., Schmidt, M., Forman, C., Chitiboi, T., Sharma, P.,... Wetzl, J. (2020). A Robust Deep-Learning-based Automated Cardiac Resting Phase Detection: Validation in a Prospective Study. Poster presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition, Sydney, AU.
Yoon, S.S., Schmidt, M., Wintersperger, B.J., Chitiboi, T., Sharma, P., Tillmanns, C.,... Wetzl, J. (2020). Automated Deep-Learning-based Inversion Time Selection for Cardiac Late Gadolinium Enhancement Imaging. Poster presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition, Sydney, AU.
Zaech, J.N., Gao, C., Bier, B., Taylor, R., Maier, A., Navab, N., & Unberath, M. (2020). Abstract: Learning to avoid poor images: towards task-aware c-arm cone-beam ct trajectories. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 185-). Berlin: Springer.

Research projects

Current projects

Font Group Recognition for Improved OCR

ODEUROPA: Negotiating Olfactory and Sensory Experiences in Cultural Heritage Practice and Research

Intelligent MR Diagnosis of the Liver by Linking Model and Data-driven Processes (iDELIVER)

From Micro To Macro: Multiscale Multimodal Data Analysis for Breast Cancer Research

Bereitstellung einer Infrastruktur zur Nutzung für die Ausbildung Studierender auf einem z/OS Betriebssystem der Fa. IBM

Molecular Assessment of Signatures ChAracterizing the Remission of Arthritis

Advancing osteoporosis medicine by observing bone microstructure and remodelling using a four-dimensional nanoscope

Deep Learning based Noise Reduction for Hearing Aids

Recent publications

2022

2021

2020

Related Research Fields

Contact:

Research projects

Current projects Current projects

Font Group Recognition for Improved OCR

ODEUROPA: Negotiating Olfactory and Sensory Experiences in Cultural Heritage Practice and Research

Intelligent MR Diagnosis of the Liver by Linking Model and Data-driven Processes (iDELIVER)

From Micro To Macro: Multiscale Multimodal Data Analysis for Breast Cancer Research

Bereitstellung einer Infrastruktur zur Nutzung für die Ausbildung Studierender auf einem z/OS Betriebssystem der Fa. IBM

Molecular Assessment of Signatures ChAracterizing the Remission of Arthritis

Advancing osteoporosis medicine by observing bone microstructure and remodelling using a four-dimensional nanoscope

Deep Learning based Noise Reduction for Hearing Aids

Recent publications Recent publications

2022

2021

2020

Related Research Fields

Contact:

Current projects

Recent publications