Dr. Thomas Wittenberg

2022

• Dexl, J., Benz, M., Bruns, V., Kuritcyn, P., & Wittenberg, T. (2022). MitoDet: Simple and Robust Mitosis Detection. 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. 53-57). Strasbourg, FR: Springer Science and Business Media Deutschland GmbH.
• Eixelberger, T., Wolkenstein, G., Hackner, R., Bruns, V., Mühldorfer, S., Geissler, U.,... Wittenberg, T. (2022). YOLO networks for polyp detection: A human-in-the-loop training approach. Current Directions in Biomedical Engineering, 8(2), 277-280. https://dx.doi.org/10.1515/cdbme-2022-1071
• Kress, V., Wittenberg, T., Raithel, M., Bruns, V., Lehmann, E., Eixelberger, T., & Hackner, R. (2022). Automatic detection of foreign objects and contaminants in colonoscopic video data using deep learning. Current Directions in Biomedical Engineering, 8(2), 321-324. https://dx.doi.org/10.1515/cdbme-2022-1082
• Steger, J., Zimmermann, A., Wittenberg, T., Mela, P., & Wilhelm, D. (2022). Electromagnetic tool for the endoscopic creation of colon anastomoses-development and feasibility assessment of a novel anastomosis compression implant approach. International Journal of Computer Assisted Radiology and Surgery. https://dx.doi.org/10.1007/s11548-022-02722-z
• Weigand, C., Flemming, D., Zweyer, G., Borutta, P., Hofmann, F., Wieland, G.,... Wittenberg, T. (2022). A concept and technical requirements for the Temi platform supporting care and nursing. Current Directions in Biomedical Engineering, 8(2), 241-244. https://dx.doi.org/10.1515/cdbme-2022-1062
• Wilm, F., Benz, M., Bruns, V., Baghdadlian, S., Dexl, J., Hartmann, D.,... Geppert, C. (2022). Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification. Journal of Medical Imaging, 9(2). https://dx.doi.org/10.1117/1.JMI.9.2.027501
• Zöller, N., Franke, L., Claussen, J., Gerth, S., Rauh, C., Radlanski, R.J.,... Hufnagel, E. (2022). Evaluation of methods for 3D imaging and analysis of vascularisation in biopreparations. Current Directions in Biomedical Engineering, 8(2), 61-64. https://dx.doi.org/10.1515/cdbme-2022-1017

2021

• Gruber, R., Gerth, S., Claußen, J., Wörlein, N., Uhlmann, N., & Wittenberg, T. (2021). Exploring Flood Filling Networks for Instance Segmentation of XXL-Volumetric and Bulk Material CT Data. Journal of Nondestructive Evaluation, 40(1). https://dx.doi.org/10.1007/s10921-020-00734-w
• Hackner, R., Suarez-Ibarrola, R., Qiu, T., Lemke, N., Pohlmann, P.F., Wilhelm, K.,... Wittenberg, T. (2021). Panoramic Imaging Assessment of Different Bladder Phantoms – An Evaluation Study. Urology. https://dx.doi.org/10.1016/j.urology.2021.05.036
• Hackner, R., Walluscheck, S., Lehmann, E., Eixelberger, T., Bruns, V., & Wittenberg, T. (2021). A Geometric and Textural Model of the Colon as Ground Truth for Deep Learning-based 3D-reconstruction. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 298-303). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• 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

2020

• Bauer, J., Wittenberg, T., Waldhör, K., Hechtel, M., Holzwarth, M., Seßner, J.,... Franke, J. (2020). A Concept for Context Awareness in SmartEnvironments. Current Directions in Biomedical Engineering. https://dx.doi.org/10.1515/cdbme-2020-3098
• Eixelberger, T., Parchent, J., Janka, R.M., Stamminger, M., Döllinger, M., & Wittenberg, T. (2020). Haptic Rendering of Soft-Tissue for Training Surgical Procedures at the Larynx. In In: Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (eds) (Eds.), Bildverarbeitung für die Medizin 2020, Informatik aktuell (pp. 342-347). Berlin, DE: Wiesbaden: Springer Vieweg,.
• Hackner, R., Raithel, M., Lehmann, E., & Wittenberg, T. (2020). Deep-learning based reconstruction of the stomach from monoscopic video data. Current Directions in Biomedical Engineering, 6(3). https://dx.doi.org/10.1515/cdbme-2020-3012