Publications
Selected publications — 3300+ citations, h-index 17, i10-index 23
Metrics¶
Full profile on Google Scholar.
Selected Publications¶
2026¶
Evaluating the Evaluators: On the Reliability of Automated Label Extraction for Radiology Reports R. Stock, M. Langenberg, D. Zimmerer, K. Dvornikovich, J.C. Holzschuh, ... Medical Imaging with Deep Learning — Short Papers (2026).
2025¶
Temporal Flow Matching for Learning Spatio-Temporal Trajectories in 4D Longitudinal Medical Imaging N.A. Disch, Y. Kirchhoff, R. Peretzke, M. Rokuss, S. Roy, C. Ulrich, D. Zimmerer, ... arXiv:2508.21580 (2025).
nnLandmark: A self-configuring method for 3D medical landmark detection A. Ertl, S. Denner, R. Peretzke, S. Xiao, D. Zimmerer, M. Fischer, M. Bujotzek, ... arXiv:2504.06742 (2025).
Leveraging foundation models for content-based image retrieval in radiology S. Denner, D. Zimmerer, D. Bounias, M. Bujotzek, S. Xiao, R. Stock, L. Kausch, ... Computers in Biology and Medicine 196, 110640 (2025).
Fine-tuning vision foundation models for multi-modal prostate MR sequence classification S. Denner, B. Kovacs, D. Zimmerer, D. Krishnaswamy, D. Bounias, R. Stock, ... Medical Imaging with Deep Learning — Short Papers (2025).
Comparative benchmarking of failure detection methods in medical image segmentation: unveiling the role of confidence aggregation M. Zenk, D. Zimmerer, F. Isensee, J. Traub, T. Norajitra, P.F. Jäger, ... Medical Image Analysis 101, 103392 (2025).
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge M. Zenk, U. Baid, S. Pati, A. Linardos, B. Edwards, M. Sheller, P. Foley, ... Nature Communications 16(1), 6274 (2025).
CRONOS: Continuous Time Reconstruction for 4D Medical Longitudinal Series N.A. Disch, S. Roy, C. Ulrich, Y. Kirchhoff, M. Rokuss, R. Peretzke, D. Zimmerer, ... arXiv:2512.16577 (2025).
Applying Longitudinal Augmentation and Data Generation (LAUGEN) in Medical Imaging N. Disch, B. Kovacs, C. Ulrich, R. Peretzke, S. Roy, M.R. Rokuss, Y. Kirchhoff, D. Zimmerer, ... Synthetic Data for Computer Vision Workshop @ CVPR (2025).
2024¶
Visual prompt engineering for medical vision language models in radiology S. Denner, D. Zimmerer, M. Bujotzek, P.F. Jäger, R. Stock, D. Bounias, ... E230 Medizinische Bildverarbeitung (2024).
Visual prompt engineering for vision language models in radiology S. Denner, M. Bujotzek, D. Bounias, D. Zimmerer, R. Stock, K. Maier-Hein. arXiv:2408.15802 (2024).
RecycleNet: Latent feature recycling leads to iterative decision refinement G. Koehler, T. Wald, C. Ulrich, D. Zimmerer, P.F. Jaeger, J.K.H. Franke, S. Kohl, ... IEEE/CVF Winter Conference on Applications of Computer Vision (2024).
Beyond Heatmaps: A Comparative Analysis of Metrics for Anomaly Localization in Medical Images D. Zimmerer, K. Maier-Hein. International Workshop on Uncertainty for Safe Utilization of Machine Learning (2024).
Back to the Future: Challenges of Sparse and Irregular Medical Image Time Series N.A. Disch, R. Peretzke, S. Roy, C. Ulrich, D. Zimmerer, R. Stiefelhagen, ... MICCAI (2024).
2023¶
SAM.md: Zero-shot medical image segmentation capabilities of the Segment Anything Model S. Roy, T. Wald, G. Koehler, M.R. Rokuss, N. Disch, J. Holzschuh, D. Zimmerer, ... arXiv:2304.05396 (2023).
Why is the winner the best? M. Eisenmann, A. Reinke, V. Weru, M.D. Tizabi, F. Isensee, T.J. Adler, S. Ali, ... IEEE/CVF CVPR (2023).
Contrastive representations for unsupervised anomaly detection and localization C.T. Lüth, D. Zimmerer, G. Koehler, P.F. Jaeger, F. Isensee, K.H. Maier-Hein. BVM Workshop, 246–252 (2023).
A holistic vision: modeling patient trajectories in longitudinal medical imaging N. Disch, D. Zimmerer. The Symbiosis of Deep Learning and Differential Equations III (2023).
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency T. Wald, C. Ulrich, F. Isensee, D. Zimmerer, G. Koehler, M. Baumgartner, ... arXiv:2307.02516 (2023).
2022¶
MOOD 2020: A public benchmark for out-of-distribution detection and localization on medical images D. Zimmerer, P.M. Full, F. Isensee, P. Jäger, T. Adler, J. Petersen, G. Köhler, ... IEEE Transactions on Medical Imaging 41(10), 2728–2738 (2022).
Biomedical image analysis competitions: The state of current participation practice M. Eisenmann, A. Reinke, V. Weru, M.D. Tizabi, F. Isensee, T.J. Adler, ... arXiv:2212.08568 (2022).
Unsupervised anomaly detection in the wild D. Zimmerer, D. Paech, C. Lüth, J. Petersen, G. Köhler, K. Maier-Hein. Bildverarbeitung für die Medizin (BVM) (2022).
Realistic evaluation of FixMatch on imbalanced medical image classification tasks M. Zenk, D. Zimmerer, F. Isensee, P.F. Jäger, J. Wasserthal, K. Maier-Hein. Bildverarbeitung für die Medizin (BVM) (2022).
Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges M. Aubreville, D. Zimmerer, M. Heinrich. Springer Nature (2022).
2021¶
The Federated Tumor Segmentation (FeTS) Challenge S. Pati, U. Baid, M. Zenk, B. Edwards, M. Sheller, G.A. Reina, P. Foley, ... arXiv:2105.05874 (2021).
Continuous-time deep glioma growth models J. Petersen, F. Isensee, G. Köhler, P.F. Jäger, D. Zimmerer, U. Neuberger, ... MICCAI (2021).
GP-ConvCNP: Better generalization for conditional convolutional neural processes on time series data J. Petersen, G. Köhler, D. Zimmerer, F. Isensee, P.F. Jäger, K.H. Maier-Hein. Uncertainty in Artificial Intelligence (UAI), 939–949 (2021).
2020¶
batchgenerators — A Python framework for data augmentation F. Isensee, P. Jäger, J. Wasserthal, D. Zimmerer, J. Petersen, S. Kohl, ... Zenodo (2020).
2019¶
Unsupervised anomaly localization using variational auto-encoders D. Zimmerer, F. Isensee, J. Petersen, S. Kohl, K. Maier-Hein. MICCAI (2019).
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection D. Zimmerer, S. Kohl, J. Petersen, F. Isensee, K. Maier-Hein. MIDL 2019 / arXiv:1907.12258 (2019).
High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection D. Zimmerer, J. Petersen, K. Maier-Hein. Medical Imaging meets NeurIPS Workshop (2019).
2018¶
nnU-Net: Self-adapting framework for U-Net-based medical image segmentation F. Isensee, J. Petersen, A. Klein, D. Zimmerer, P.F. Jaeger, S. Kohl, ... arXiv:1809.10486 (2018). — 1785+ citations
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning T. Ross, D. Zimmerer, A. Vemuri, F. Isensee, M. Wiesenfarth, S. Bodenstedt, ... IJCARS 13(6), 925–933 (2018).
A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients D. Zimmerer, J. Petersen, S.A.A. Kohl, K.H. Maier-Hein. Medical Imaging meets NeurIPS Workshop (2018).
2017¶
Spiking convolutional deep belief networks J. Kaiser, D. Zimmerer, J.C.V. Tieck, S. Ulbrich, A. Roennau, R. Dillmann. ICANN (2017). — Best Paper Award
2016¶
Robust environment perception for the Audi Autonomous Driving Cup F. Kuhnt, M. Pfeiffer, P. Zimmer, D. Zimmerer, J.M. Gomer, V. Kaiser, ... IEEE ITSC (2016).
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