| 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 | 1063 | 2023 |
| Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples M Paschali, S Conjeti, F Navarro, N Navab Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 187* | 2018 |
| qPSMA: semiautomatic software for whole-body tumor burden assessment in prostate cancer using 68Ga-PSMA11 PET/CT A Gafita, M Bieth, M Krönke, G Tetteh, F Navarro, H Wang, E Günther, ... Journal of Nuclear Medicine 60 (9), 1277-1283, 2019 | 106 | 2019 |
| Deep learning-enabled multi-organ segmentation in whole-body mouse scans O Schoppe, C Pan, J Coronel, H Mai, Z Rong, MI Todorov, A Müskes, ... Nature communications 11 (1), 5626, 2020 | 74 | 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 | 65 | 2019 |
| Tumor sink effect in 68Ga-PSMA-11 PET: myth or reality? A Gafita, H Wang, A Robertson, WR Armstrong, R Zaum, M Weber, ... Journal of Nuclear Medicine 63 (2), 226-232, 2022 | 52 | 2022 |
| Optical classification of neoplastic colorectal polyps–a computer-assisted approach (the COACH study) J Renner, H Phlipsen, B Haller, F Navarro-Avila, Y Saint-Hill-Febles, ... Scandinavian journal of gastroenterology 53 (9), 1100-1106, 2018 | 45 | 2018 |
| Development and external validation of deep-learning-based tumor grading models in soft-tissue sarcoma patients using MR imaging F Navarro, H Dapper, R Asadpour, C Knebel, MB Spraker, V Schwarze, ... Cancers 13 (12), 2866, 2021 | 38 | 2021 |
| Deep reinforcement learning for organ localization in CT F Navarro, A Sekuboyina, D Waldmannstetter, JC Peeken, SE Combs, ... Medical Imaging with Deep Learning, 544-554, 2020 | 38 | 2020 |
| Grading loss: a fracture grade-based metric loss for vertebral fracture detection M Husseini, A Sekuboyina, M Loeffler, F Navarro, BH Menze, JS Kirschke Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 25 | 2020 |
| Evaluating the robustness of self-supervised learning in medical imaging F Navarro, C Watanabe, S Shit, A Sekuboyina, JC Peeken, SE Combs, ... arXiv preprint arXiv:2105.06986, 2021 | 24 | 2021 |
| Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements S Rühling, F Navarro, A Sekuboyina, M El Husseini, T Baum, B Menze, ... European Radiology, 1-10, 2022 | 21 | 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 | 19* | 2021 |
| Webly supervised learning for skin lesion classification F Navarro, S Conjeti, F Tombari, N Navab Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 18 | 2018 |
| Suprosanna Shit, Ivan Ezhov, Johannes Paetzold, Andrei Gafita, Jan C Peeken, Stephanie E Combs, and Bjoern H Menze. Shape-aware complementary-task learning for multi-organ … F Navarro Machine Learning in Medical Imaging, 620-627, 2019 | 11 | 2019 |
| Robust, primitive, and unsupervised quality estimation for segmentation ensembles F Kofler, I Ezhov, L Fidon, CM Pirkl, JC Paetzold, E Burian, S Pati, ... Frontiers in Neuroscience 15, 752780, 2021 | 9 | 2021 |
| A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images G Tetteh, F Navarro, R Meier, J Kaesmacher, JC Paetzold, JS Kirschke, ... Frontiers in neurology 14, 1039693, 2023 | 8 | 2023 |
| Benchmarking the cow with the topcow challenge: Topology-aware anatomical segmentation of the circle of willis for cta and mra K Yang, F Musio, Y Ma, N Juchler, JC Paetzold, R Al-Maskari, L Höher, ... ArXiv, 2023 | 7 | 2023 |
| Focused decoding enables 3D anatomical detection by transformers B Wittmann, F Navarro, S Shit, B Menze arXiv preprint arXiv:2207.10774, 2022 | 7 | 2022 |
| Self-supervised pretext tasks in model robustness & generalizability: A revisit from medical imaging perspective F Navarro, C Watanabe, S Shit, A Sekuboyina, JC Peeken, SE Combs, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 5 | 2022 |
Bjoern H MenzeUniversität Zürich在 uzh.ch 的电子邮件经过验证
