| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 1365 | 2023 |
| clDice-a Topology-Preserving Loss Function for Tubular Structure Segmentation. S Shit, JC Paetzold, A Sekuboyina, I Ezhov, A Unger, A Zhylka, ... CVPR, 2021, 2020 | 310* | 2020 |
| VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ... Medical image analysis 73, 102166, 2021 | 286 | 2021 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 231 | 2022 |
| A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA dataset K Payette, P de Dumast, H Kebiri, I Ezhov, JC Paetzold, S Shit, A Iqbal, ... Scientific Data, 2021, arXiv: 2010.15526, 2020 | 134* | 2020 |
| ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset MR Hernandez Petzsche, E de la Rosa, U Hanning, R Wiest, ... Scientific data 9 (1), 762, 2022 | 124 | 2022 |
| BraTS Toolkit: Translating BraTS brain tumor segmentation algorithms into clinical and scientific practice F Kofler, C Berger, D Waldmannstetter, J Lipkova, I Ezhov, G Tetteh, ... Frontiers in Neuroscience 14, 125, 2020 | 107 | 2020 |
| Shape-aware complementary-task learning for multi-organ segmentation F Navarro, S Shit, I Ezhov, J Paetzold, A Gafita, JC Peeken, SE Combs, ... Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 77* | 2019 |
| Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective. AB Qasim*, I Ezhov*, S Shit, O Schoppe, JC Paetzold, A Sekuboyina, ... Proceedings of Machine Learning Research 1, 14, 2020 | 75* | 2020 |
| The brain tumor segmentation (BraTS) challenge 2023: focus on pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs) AF Kazerooni, N Khalili, X Liu, D Haldar, Z Jiang, SM Anwar, J Albrecht, ... ArXiv, arXiv: 2305.17033 v7, 2024 | 69 | 2024 |
| Relationformer: A Unified Framework for Image-to-Graph Generation S Shit, R Koner, B Wittmann, J Paetzold, I Ezhov, H Li, J Pan, ... ECCV 2022, 2022 | 61 | 2022 |
| Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient F Kofler, I Ezhov, F Isensee, F Balsiger, C Berger, M Koerner, B Demiray, ... arXiv preprint arXiv:2103.06205, 2021 | 59* | 2021 |
| The brain tumor segmentation (brats-mets) challenge 2023: Brain metastasis segmentation on pre-treatment mri AW Moawad, A Janas, U Baid, D Ramakrishnan, R Saluja, N Ashraf, ... arXiv preprint arXiv:2306.00838, 2023 | 44 | 2023 |
| The asnr-miccai brain tumor segmentation (brats) challenge 2023: Intracranial meningioma D LaBella, M Adewole, M Alonso-Basanta, T Altes, SM Anwar, U Baid, ... arXiv preprint arXiv:2305.07642, 2023 | 36 | 2023 |
| Whole brain vessel graphs: A dataset and benchmark for graph learning and neuroscience JC Paetzold, J McGinnis, S Shit, I Ezhov, P Büschl, C Prabhakar, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 35* | 2021 |
| Imbalance-aware self-supervised learning for 3d radiomic representations H Li, FF Xue, K Chaitanya, S Luo, I Ezhov, B Wiestler, J Zhang, B Menze Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 33 | 2021 |
| Verse: a vertebrae labelling and segmentation benchmark A Sekuboyina, A Bayat, ME Husseini, M Löffler, M Rempfler, J Kukačka, ... arXiv. org e-Print archive, 2020 | 33 | 2020 |
| 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 | 27 | 2023 |
| Geometry-aware neural solver for fast Bayesian calibration of brain tumor models I Ezhov, T Mot, S Shit, J Lipkova, JC Paetzold, F Kofler, F Navarro IEEE Transactions on Medical Imaging, 2021, 2021 | 24* | 2021 |
| Neural parameters estimation for brain tumor growth modeling I Ezhov*, J Lipkova*, S Shit, F Kofler, N Collomb, B Lemasson, E Barbier, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 24* | 2019 |
Bjoern MenzeUniversität ZürichVerified email at uzh.ch