| 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 | 617 | 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 | 99* | 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 | 84 | 2021 |
| 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 | 60 | 2020 |
| 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 | 59* | 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 | 50* | 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 | 39* | 2020 |
| 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 | 38 | 2022 |
| 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 | 31 | 2020 |
| 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 | 20 | 2019 |
| 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, J Paetzold, ... arXiv preprint arXiv:2103.06205, 2021 | 19* | 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 | 17 | 2021 |
| 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 | 16* | 2021 |
| 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 | 15* | 2021 |
| 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 | 11 | 2022 |
| A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images S Gerl, JC Paetzold, H He, I Ezhov, S Shit, F Kofler, A Bayat, G Tetteh, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 11 | 2020 |
| clDice-a Novel Connectivity-Preserving Loss Function for Vessel Segmentation JC Paetzold, S Shit, I Ezhov, G Tetteh, A Ertürk, B Menze Medical Imaging Meets NeurIPS 2019, 2019 | 11* | 2019 |
| Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling I Ezhov, K Scibilia, K Franitza, F Steinbauer, S Shit, L Zimmer, J Lipkova, ... Medical Image Analysis 83, 102672, 2023 | 9 | 2023 |
| Influence of screening on longitudinal-optical phonon scattering in quantum cascade lasers I Ezhov, C Jirauschek Journal of Applied Physics 119 (3), 033102, 2016 | 9 | 2016 |
| 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 | 8 | 2022 |
Suprosanna ShitDoctoral Candidate, Technical University MunichVerified email at tum.de
