Prof. Dr. Thomas Ganslandt

2025

• Kampf, M.O., Prokosch, H.-U., Gulden, C., Kraska, D., Ganslandt, T., & Seuchter, S.A. (2025). Evaluation of a DIC Broad Consent Cohort. In Elisavet Andrikopoulou, Parisis Gallos, Theodoros N. Arvanitis, Rosalynn Austin, Arriel Benis, Ronald Cornet, Panagiotis Chatzistergos, Alexander Dejaco, Linda Dusseljee-Peute, Alaa Mohasseb, Pantelis Natsiavas, Haythem Nakkas, Philip Scott (Eds.), Intelligent Health Systems – From Technology to Data and Knowledge. (pp. 492-496). IOS Press.
• Rogge, A.A., Mukowski-Kickhöfel, R., Boeker, M., Budde, K., Debertshäuser, T., Dugas, M.,... Prasser, F. (2025). Integrating the Patient Perspective into Healthcare and Real-World Evidence: The Multi-site, Cross-Disease, Patient-Centered Outcomes Research Project in the Medical Informatics Initiative (PCOR-MII). Journal of Healthcare Informatics Research. https://doi.org/10.1007/s41666-025-00187-8
• Strantz, C., Böhm, D., Ganslandt, T., Börries, M., Metzger, P., Pauli, T.,... Unberath, P. (2025). Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards. BMC Medical Informatics and Decision Making, 25(1). https://doi.org/10.1186/s12911-024-02821-8
• Weidinger, F., Räbel, J., Grässel, E., Ganslandt, T., Kolominsky-Rabas, P., & Emmert, M. (2025). Costs of informal caregiving for people with cognitive impairment: A cost study based on the Digital Dementia Registry Bavaria (digiDEM Bayern) Kosten informeller Pflege bei Menschen mit kognitiven Beeinträchtigungen: eine Kostenstudie aus dem Digitalen Demenzregister Bayern (digiDEM Bayern). Zeitschrift für Evidenz, Fortbildung und Qualitat im Gesundheitswesen, 198-199, 27-34. https://doi.org/10.1016/j.zefq.2025.10.001
• Ziegler, J., Fischer, C., Volkmer, P.C., Erpenbeck, M.P., Mang, J.M., Ganslandt, T.,... Gulden, C. (2025). Assuring End-to-End Data Quality for Analytics on FHIR. In Martin Baumgartner, Dieter Hayn, Bernhard Pfeifer, Günter Schreier (Eds.), dHealth 2025. (pp. 57-62). IOS Press.

2024

• Ammon, D., Kurscheidt, M., Buckow, K., Kirsten, T., Löbe, M., Meineke, F.,... Ganslandt, T. (2024). Arbeitsgruppe Interoperabilität: Kerndatensatz und Informationssysteme für Integration und Austausch von Daten in der Medizininformatik-Initiative. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 67(6), 656-667. https://doi.org/10.1007/s00103-024-03888-4
• Böhm, D., Strantz, C., Christoph, J., Busch, H., Ganslandt, T., & Unberath, P. (2024). Data Visualization Support for Tumor Boards and Clinical Oncology: Protocol for a Scoping Review. JMIR Research Protocols, 13. https://doi.org/10.2196/53627
• Gierend, K., Krüger, F., Genehr, S., Hartmann, F., Siegel, F., Waltemath, D.,... Zeleke, A.A. (2024). Provenance Information for Biomedical Data and Workflows: Scoping Review. Journal of Medical Internet Research, 26(1). https://doi.org/10.2196/51297
• Kapsner, L., Feißt, M., Purbojo, A., Prokosch, H.-U., Ganslandt, T., Dittrich, S.,... Wällisch, W. (2024). Using Machine Learning and Feature Importance to Identify Risk Factors for Mortality in Pediatric Heart Surgery. Diagnostics, 14(22). https://doi.org/10.3390/diagnostics14222587
• Kapsner, L., Folle, L., Hadler, D., Eberle, J., Balbach, E., Liebert, A.,... Bickelhaupt, S. (2024). Lesion-conditioning of synthetic MRI-derived subtraction-MIPs of the breast using a latent diffusion model. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-56853-1
• Kleinert, P., Gebhardt, M., Buckow, K., Gründner, J., Ganslandt, T., Prokosch, H.-U., & Semler, S.C. (2024). Germany's Approach for the Secondary Use of Federated Real-World Data in the German Portal for Medical Research Data. In John Mantas, Arie Hasman, George Demiris, Kaija Saranto, Michael Marschollek, Theodoros N. Arvanitis, Ivana Ognjanovic, Arriel Benis, Parisis Gallos, Emmanouil Zoulias, Elisavet Andrikopoulou (Eds.), Studies in Health Technology and Informatics (pp. 1704-1708). Athens, GRC: IOS Press BV.
• Michaelis, L., Inau, E.T., Muzoora, M.R., Wodke, J.A., Ganslandt, T., Thun, S., & Waltemath, D. (2024). Applying the RDA Data Maturity Model on the Core Dataset of the German Medical Informatics Initiative. In Marco Roos, Annika Jacobsen, Andrea Splendiani, M. Scott Marshall, Andra Waagmeester, Leyla Jael Garcia Castro, Katherine Wolstencroft, Kristina Hettne, Rutger Vos (Eds.), Proceedings of the 15th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2024) (pp. 124-128). Hybrid, Leiden, NL: CEUR-WS.
• Myin-Germeys, I., Schick, A., Ganslandt, T., Hajdúk, M., Heretik, A., Van Hoyweghen, I.,... Reininghaus, U. (2024). The experience sampling methodology as a digital clinical tool for more person-centered mental health care: an implementation research agenda. Psychological Medicine. https://doi.org/10.1017/S0033291724001454
• Schmitt, J., Ihle, P., Schoffer, O., Reese, J.P., Ortmann, S., Swart, E.,... Zeynalova, S. (2024). Datennutzung für eine bessere Gesundheitsversorgung–Plädoyer für eine kooperative Forschungsdatenplattform der gesetzlichen und privaten Krankenversicherung und dem Netzwerk Universitätsmedizin (NUM). Gesundheitswesen. https://doi.org/10.1055/a-2438-0670
• Wabo, G.K., Moorthy, P., Siegel, F., Seuchter, S.A., & Ganslandt, T. (2024). Evaluating and Enhancing the Fitness-for-Purpose of Electronic Health Record Data: Qualitative Study on Current Practices and Pathway to an Automated Approach Within the Medical Informatics for Research and Care in University Medicine Consortium. JMIR Medical Informatics, 12. https://doi.org/10.2196/57153

2023

• Gierend, K., Freiesleben, S., Kadioglu, D., Siegel, F., Ganslandt, T., & Waltemath, D. (2023). The Status of Data Management Practices Across German Medical Data Integration Centers: Mixed Methods Study. Journal of Medical Internet Research, 25, e48809-. https://doi.org/10.2196/48809
• Gierend, K., Waltemath, D., Ganslandt, T., & Siegel, F. (2023). Traceable Research Data Sharing in a German Medical Data Integration Center With FAIR (Findability, Accessibility, Interoperability, and Reusability)-Geared Provenance Implementation: Proof-of-Concept Study. JMIR Formative Research, 7. https://doi.org/10.2196/50027
• Kim, H.E., Maros, M.E., Miethke, T., Kittel, M., Siegel, F., & Ganslandt, T. (2023). Lightweight Visual Transformers Outperform Convolutional Neural Networks for Gram-Stained Image Classification: An Empirical Study. Biomedicines, 11(5). https://doi.org/10.3390/biomedicines11051333
• Wabo, G.K., Prasser, F., Gierend, K., Siegel, F., & Ganslandt, T. (2023). Data Quality– and Utility-Compliant Anonymization of Common Data Model–Harmonized Electronic Health Record Data: Protocol for a Scoping Review. JMIR Research Protocols, 12. https://doi.org/10.2196/46471

2022

• Kim, H.E., Cosa-Linan, A., Santhanam, N., Jannesari, M., Maros, M.E., & Ganslandt, T. (2022). Transfer learning for medical image classification: a literature review. BMC Medical Imaging, 22(1), 69-. https://doi.org/10.1186/s12880-022-00793-7
• Kim, H.E., Maros, M.E., Siegel, F., & Ganslandt, T. (2022). Rapid Convolutional Neural Networks for Gram-Stained Image Classification at Inference Time on Mobile Devices: Empirical Study from Transfer Learning to Optimization. Biomedicines, 10(11). https://doi.org/10.3390/biomedicines10112808
• Löbe, M., Bialke, M., Bienzeisler, J., Drepper, J., Ganslandt, T., Haderer, S.,... Kaulke, K. (2022). ToolPool Gesundheitsforschung - A Repository for Software and Services Focused on Supporting Clinical and Epidemiological Research. Studies in Health Technology and Informatics, 293, 19-27. https://doi.org/10.3233/SHTI220342
• Scheer, J., Volkert, A., Brich, N., Weinert, L., Santhanam, N., Krone, M.,... Nagel, T. (2022). Visualization Techniques of Time-Oriented Data for the Comparison of Single Patients With Multiple Patients or Cohorts: Scoping Review. Journal of Medical Internet Research, 24(10), e38041-. https://doi.org/10.2196/38041

2021

• Barberan-Garcia, A., Cano, I., Bongers, B.C., Seyfried, S., Ganslandt, T., Herrle, F., & Martinez-Palli, G. (2021). Digital Support to Multimodal Community-Based Prehabilitation: Looking for Optimization of Health Value Generation. Frontiers in Oncology, 11. https://doi.org/10.3389/fonc.2021.662013
• Gierend, K., Krueger, F., Waltemath, D., Fuenfgeld, M., Ganslandt, T., & Zeleke, A.A. (2021). Approaches and Criteria for Provenance in Biomedical Data Sets and Workflows: Protocol for a Scoping Review. JMIR Research Protocols, 10(11). https://doi.org/10.2196/31750
• Le, T.T., Gutierrez-Sacristan, A., Son, J., Hong, C., South, A.M., Beaulieu-Jones, B.K.,... Xia, Z. (2021). Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-99481-9
• Maros, M.E., Cho, C.G., Junge, A.G., Kaempgen, B., Saase, V., Siegel, F.,... Wenz, H. (2021). Comparative analysis of machine learning algorithms for computer-assisted reporting based on fully automated cross-lingual RadLex mappings. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-85016-9
• Melzer, G., Maiwald, T., Prokosch, H.-U., & Ganslandt, T. (2021). Leveraging Real-World Data for the Selection of Relevant Eligibility Criteria for the Implementation of Electronic Recruitment Support in Clinical Trials. Applied Clinical Informatics, 12(1), 17-26. https://doi.org/10.1055/s-0040-1721010
• Rauschenberg, C., Hirjak, D., Ganslandt, T., Schulte-Strathaus, J.C.C., Schick, A., Meyer-Lindenberg, A., & Reininghaus, U. (2021). Digitale Versorgungsformen zur Personalisierung der stationsäquivalenten Behandlung. Der Nervenarzt. https://doi.org/10.1007/s00115-021-01100-5
• Riemann, J.F., Teufel, A., Ganslandt, T., Hann, A., Hildebrandt, H., Jütte, H.,... Hüppe, D. (2021). Digital communication strategies in gastroenterology: Position paper of the LebensBlicke Foundation Digitale Kommunikationsstrategien in der Gastroenterologie. Zeitschrift für Gastroenterologie, 59(5), 473-474. https://doi.org/10.1055/a-1458-6430
• Trinkmann, F., Maros, M., Roth, K., Hermanns, A., Schaefer, J., Gawlitza, J.,... Ganslandt, T. (2021). Multiple breath washout (MBW) testing using sulfur hexafluoride: Reference values and influence of anthropometric parameters. Thorax, 76(4), 380-386. https://dx.doi.org/10.1136/thoraxjnl-2020-214717
• Zimmermann, R., Becker, A., Hackstein, H., & Ganslandt, T. (2021). Generation of Reliable Red Cell Concentrate Requirement Lists for Operations and Interventions from Data Warehouse Data and Patient-Related Batch Documentation of Blood Components. Transfusionsmedizin, 11(01), 33-37. https://doi.org/10.1055/a-1256-4465

2020

• Becker, L., Ganslandt, T., Prokosch, H.-U., & Newe, A. (2020). Applied Practice and Possible Leverage Points for Information Technology Support for Patient Screening in Clinical Trials: Qualitative Study. JMIR Medical Informatics, 8(6), 1 - 14. https://doi.org/10.2196/15749
• Bild, R., Bialke, M., Buckow, K., Ganslandt, T., Ihrig, K., Jahns, R.,... Prasser, F. (2020). Towards a comprehensive and interoperable representation of consent-based data usage permissions in the German medical informatics initiative. BMC Medical Informatics and Decision Making, 20(1). https://doi.org/10.1186/s12911-020-01138-6
• Brat, G.A., Weber, G.M., Gehlenborg, N., Avillach, P., Palmer, N.P., Chiovato, L.,... Kohane, I.S. (2020). International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digital Medicine, 3(1). https://doi.org/10.1038/s41746-020-00308-0
• Buergy, D., Siefert, V., Neumaier, C., Ganslandt, T., Sperk, E., Blessing, M.,... Giordano, F.A. (2020). Prospective trial on telemonitoring of geriatric cancer patients using handheld devices. Strahlentherapie und Onkologie, 196(3), 205-212. https://doi.org/10.1007/s00066-019-01548-0
• Ellmann, S., Schlicht, M., Dietzel, M., Janka, R.M., Hammon, M., Saake, M.,... Bäuerle, T. (2020). Computer-aided diagnosis in multiparametric mri of the prostate: An open-access online tool for lesion classification with high accuracy. Cancers, 12(9), 1-15. https://doi.org/10.3390/cancers12092366
• Giordano, F.A., Welzel, G., Siefert, V., Jahnke, L., Ganslandt, T., Wenz, F.,... Nicolay, N.H. (2020). Digital Follow-Up and the Perspective of Patient-Centered Care in Oncology: What's the PROblem? Oncology, 98(6), 379-385. https://doi.org/10.1159/000495294
• Kim, H., Ganslandt, T., Miethke, T., Neumaier, M., & Kittel, M. (2020). Deep learning frameworks for rapid gram stain image data interpretation: Protocol for a retrospective data analysis. JMIR Research Protocols, 9(7). https://doi.org/10.2196/16843
• Schaaf, J., Sedlmayr, M., Prokosch, H.-U., Ganslandt, T., Schade-Brittinger, C., von Wagner, M.,... Storf, H. (2020). The Status Quo of Rare Diseases Centres for the Development of a Clinical Decision Support System - A Cross-Sectional Study. In Günter Schreier, Dieter Hayn, Alphons Eggerth (Eds.), dHealth 2020 – Biomedical Informatics for Health and Care. (pp. 176-183).
• Trinkmann, F., Lenz, S.A., Schafer, J., Gawlitza, J., Schroeter, M., Gradinger, T.,... Saur, J. (2020). Feasibility and clinical applications of multiple breath wash-out (MBW) testing using sulphur hexafluoride in adults with bronchial asthma. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-58538-x