| 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 | 608 | 2023 |
| Machine learning analysis of whole mouse brain vasculature MI Todorov*, JC Paetzold*, O Schoppe, G Tetteh, S Shit, V Efremov, ... Nature Methods 17 (4), 442-449, 2020 | 204* | 2020 |
| Cellular and molecular probing of intact human organs S Zhao, MI Todorov, R Cai, AIM Rami, H Steinke, E Kemter, H Mai, ... Cell 180 (4), 796-812. e19, 2020 | 181 | 2020 |
| clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation S Shit*, JC Paetzold*, A Sekuboyina, A Zhylka, I Ezhov, A Unger, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 93* | 2021 |
| 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 | 77 | 2021 |
| DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis BM Hongwei Li*, Johannes C. Paetzold*, Anjany Sekuboyina, Florian Kofler ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 64* | 2019 |
| An automatic multi-tissue human fetal brain segmentation benchmark using the fetal tissue annotation dataset K Payette, P de Dumast, H Kebiri, I Ezhov, JC Paetzold, S Shit, A Iqbal, ... Scientific Data 8 (1), 167, 2021 | 56* | 2021 |
| 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 | 49* | 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, ... Medical Imaging with Deep Learning, 655-668, 2020 | 39* | 2020 |
| Verse: a vertebrae labelling and segmentation benchmark A Sekuboyina, A Bayat, ME Husseini, M Löffler, M Rempfler, J Kukačka, ... | 31 | 2020 |
| Anthropogenic CO2 emissions assessment of Nile Delta using XCO2 and SIF data from OCO-2 satellite A Shekhar, J Chen, JC Paetzold, F Dietrich, X Zhao, S Bhattacharjee, ... Environmental Research Letters 15 (9), 095010, 2020 | 26 | 2020 |
| Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework TS Jones, JE Franklin, J Chen, F Dietrich, KD Hajny, JC Paetzold, ... Atmospheric Chemistry and Physics 21 (17), 13131-13147, 2021 | 21* | 2021 |
| Spatial proteomics in three-dimensional intact specimens HS Bhatia, AD Brunner, F Öztürk, S Kapoor, Z Rong, H Mai, M Thielert, ... Cell 185 (26), 5040-5058. e19, 2022 | 16* | 2022 |
| Geometry-aware neural solver for fast Bayesian calibration of brain tumor models I Ezhov, T Mot, S Shit, J Lipkova, JC Paetzold, F Kofler, C Pellegrini, ... IEEE Transactions on Medical Imaging 41 (5), 1269-1278, 2021 | 16* | 2021 |
| 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 | 14 | 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 | 14* | 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 |
Bjoern H MenzeUniversität ZürichVerified email at uzh.ch
