| 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 | 556 | 2023 |
| DiamondGAN: unified multi-modal generative adversarial networks for MRI sequences synthesis H Li, JC Paetzold, A Sekuboyina, F Kofler, J Zhang, JS Kirschke, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 52 | 2019 |
| 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, 125, 2020 | 51 | 2020 |
| 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 | 37* | 2020 |
| Metrics reloaded: Pitfalls and recommendations for image analysis validation L Maier-Hein, B Menze arXiv. org, 2022 | 26 | 2022 |
| 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 | 21 | 2022 |
| Neural parameters estimation for brain tumor growth modeling I Ezhov, J Lipkova, S Shit, F Kofler, N Collomb, B Lemasson, E Barbier, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 20 | 2019 |
| 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 | 14* | 2021 |
| Improving automated glioma segmentation in routine clinical use through artificial intelligence-based replacement of missing sequences with synthetic magnetic resonance imaging … MF Thomas, F Kofler, L Grundl, T Finck, H Li, C Zimmer, B Menze, ... Investigative Radiology 57 (3), 187-193, 2022 | 13 | 2022 |
| Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging CM Pirkl, L Nunez-Gonzalez, F Kofler, S Endt, L Grundl, M Golbabaee, ... Neuroradiology, 1-21, 2021 | 13 | 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 | 13 | 2021 |
| Immunohistochemically characterized intratumoral heterogeneity is a prognostic marker in human glioblastoma F Liesche-Starnecker, K Mayer, F Kofler, S Baur, F Schmidt-Graf, ... Cancers 12 (10), 2964, 2020 | 13 | 2020 |
| 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 |
| Fully automated analysis combining [18F]-FET-PET and multiparametric MRI including DSC perfusion and APTw imaging: a promising tool for objective evaluation of glioma progression KJ Paprottka, S Kleiner, C Preibisch, F Kofler, F Schmidt-Graf, ... European journal of nuclear medicine and molecular imaging 48 (13), 4445-4455, 2021 | 8 | 2021 |
| Proteomics of spatially identified tissues in whole organs HS Bhatia, AD Brunner, Z Rong, H Mai, M Thielert, R Al-Maskari, ... BioRxiv, 2021.11. 02.466753, 2021 | 8 | 2021 |
| 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 | 7 | 2023 |
| A baseline for predicting glioblastoma patient survival time with classical statistical models and primitive features ignoring image information. F Kofler, JC Paetzold, I Ezhov, S Shit, D Krahulec, JS Kirschke, C Zimmer, ... 5th international Workshop, BrainLes 2019, Held in Conjunction with MICCAI …, 2019 | 6 | 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 | 5 | 2021 |
| 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 | 4 | 2022 |
| Tracking the corticospinal tract in patients with high-grade glioma: clinical evaluation of multi-level fiber tracking and comparison to conventional deterministic approaches A Zhylka, N Sollmann, F Kofler, A Radwan, A De Luca, J Gempt, ... Frontiers in Oncology 11, 761169, 2021 | 4 | 2021 |
Bjoern H MenzeUniversität ZürichVerified email at uzh.ch
