| nnu-net: Self-adapting framework for u-net-based medical image segmentation F Isensee, J Petersen, A Klein, D Zimmerer, PF Jaeger, S Kohl, ... arXiv preprint arXiv:1809.10486, 2018 | 998 | 2018 |
| Unsupervised anomaly localization using variational auto-encoders D Zimmerer, F Isensee, J Petersen, S Kohl, K Maier-Hein Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 162 | 2019 |
| Exploiting the potential of unlabeled endoscopic video data with self-supervised learning T Ross, D Zimmerer, A Vemuri, F Isensee, M Wiesenfarth, S Bodenstedt, ... International journal of computer assisted radiology and surgery 13, 925-933, 2018 | 154 | 2018 |
| Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection--Short Paper D Zimmerer, S Kohl, J Petersen, F Isensee, K Maier-Hein Medical Imaging with Deep Learning (MIDL) 2019, arXiv: 1907.12258, 2019 | 149* | 2019 |
| The federated tumor segmentation (fets) challenge S Pati, U Baid, M Zenk, B Edwards, M Sheller, GA Reina, P Foley, ... arXiv preprint arXiv:2105.05874, 2021 | 85 | 2021 |
| Sam. md: Zero-shot medical image segmentation capabilities of the segment anything model S Roy, T Wald, G Koehler, MR Rokuss, N Disch, J Holzschuh, D Zimmerer, ... arXiv preprint arXiv:2304.05396, 2023 | 84 | 2023 |
| batchgenerators—a python framework for data augmentation F Isensee, P Jäger, J Wasserthal, D Zimmerer, J Petersen, S Kohl, ... Zenodo 3632567, 2020 | 59* | 2020 |
| Mood 2020: A public benchmark for out-of-distribution detection and localization on medical images D Zimmerer, PM Full, F Isensee, P Jäger, T Adler, J Petersen, G Köhler, ... IEEE Transactions on Medical Imaging 41 (10), 2728-2738, 2022 | 39 | 2022 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 26 | 2022 |
| A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients D Zimmerer, J Petersen, SAA Kohl, KH Maier-Hein Medical Imaging meets NeurIPS Workshop 2018, 2018 | 25 | 2018 |
| Sam. md: Zero-shot medical image segmentation capabilities of the segment anything model T Wald, S Roy, G Koehler, N Disch, MR Rokuss, J Holzschuh, D Zimmerer, ... Medical Imaging with Deep Learning, short paper track, 2023 | 19 | 2023 |
| Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 19 | 2023 |
| Medical out-of-distribution analysis challenge (Mar 2020) D Zimmerer, J Petersen, G Köhler, P Jäger, P Full, T Roß, T Adler, ... URL https://doi. org/10.5281/zenodo 3784230, 0 | 17* | |
| Spiking convolutional deep belief networks J Kaiser, D Zimmerer, JCV Tieck, S Ulbrich, A Roennau, R Dillmann Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 14 | 2017 |
| Robust environment perception for the audi autonomous driving cup F Kuhnt, M Pfeiffer, P Zimmer, D Zimmerer, JM Gomer, V Kaiser, ... 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 10 | 2016 |
| Continuous-time deep glioma growth models J Petersen, F Isensee, G Köhler, PF Jäger, D Zimmerer, U Neuberger, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
| GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data J Petersen, G Köhler, D Zimmerer, F Isensee, PF Jäger, KH Maier-Hein Uncertainty in Artificial Intelligence, 939-949, 2021 | 8* | 2021 |
| 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, 2019 | 7 | 2019 |
| Cradl: Contrastive representations for unsupervised anomaly detection and localization CT Lüth, D Zimmerer, G Koehler, PF Jaeger, F Isensee, J Petersen, ... arXiv preprint arXiv:2301.02126, 2023 | 5 | 2023 |
| Leveraging foundation models for content-based medical image retrieval in radiology S Denner, D Zimmerer, D Bounias, M Bujotzek, S Xiao, L Kausch, ... arXiv preprint arXiv:2403.06567, 2024 | 3 | 2024 |
