| 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 | 103 | 2020 |
| The brain tumor sequence registration challenge: establishing correspondence between pre-operative and follow-up MRI scans of diffuse glioma patients B Baheti, D Waldmannstetter, S Chakrabarty, M Akbari, M Bilello, ... ArXiv. org, 2021 | 50 | 2021 |
| Coarse-to-fine adversarial networks and zone-based uncertainty analysis for NK/T-cell lymphoma segmentation in CT/PET images X Hu, R Guo, J Chen, H Li, D Waldmannstetter, Y Zhao, B Li, K Shi, ... IEEE journal of biomedical and health informatics 24 (9), 2599-2608, 2020 | 48 | 2020 |
| 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 | 44 | 2020 |
| 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 | 19 | 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 | 15 | 2023 |
| The brain tumor segmentation (brats) challenge 2023: Local synthesis of healthy brain tissue via inpainting F Kofler, F Meissen, F Steinbauer, R Graf, E Oswald, E de da Rosa, HB Li, ... arXiv preprint arXiv:2305.08992, 2023 | 14 | 2023 |
| Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting CM Pirk, PA Gómez, I Lipp, G Buonincontri, M Molina-Romero, ... Medical Imaging with Deep Learning, 638-654, 2020 | 14 | 2020 |
| Learning residual motion correction for fast and robust 3D multiparametric MRI CM Pirkl, M Cencini, JW Kurzawski, D Waldmannstetter, H Li, ... Medical Image Analysis 77, 102387, 2022 | 11 | 2022 |
| Deep learning-enabled diffusion tensor MR fingerprinting CM Pirkl, I Lipp, G Buonincontri, M Molina-Romero, A Sekuboyina, ... Proc. 27th Annu. Meet (ISMRM), 1102, 2019 | 9 | 2019 |
| Reinforced redetection of landmark in pre-and post-operative brain scan using anatomical guidance for image alignment D Waldmannstetter, F Navarro, B Wiestler, JS Kirschke, A Sekuboyina, ... Biomedical Image Registration: 9th International Workshop, WBIR 2020 …, 2020 | 7 | 2020 |
| Framing image registration as a landmark detection problem for better representation of clinical relevance D Waldmannstetter, B Wiestler, J Schwarting, I Ezhov, M Metz, S Bakas, ... arXiv preprint arXiv:2308.01318, 2023 | 3 | 2023 |
| Spatial-frequency non-local convolutional lstm network for prcc classification Y Zhao, Y Liu, Y Kan, A Sekuboyina, D Waldmannstetter, H Li, X Hu, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 3 | 2019 |
| Toward image-based personalization of glioblastoma therapy: A clinical and biological validation study of a novel, deep learning-driven tumor growth model MC Metz, I Ezhov, JC Peeken, JA Buchner, J Lipkova, F Kofler, ... Neuro-Oncology Advances 6 (1), vdad171, 2024 | 2 | 2024 |
| Towards Image-Based Personalization of Glioblastoma Therapy A Clinical and Biological Validation Study of a Novel, Deep Learning-Driven Tumor Growth Model MC Metz, I Ezhov, L Zimmer, JC Peeken, JA Buchner, J Lipkova, F Kofler, ... | 2 | 2023 |
| Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired during brain tumor treatment L Canalini, J Klein, D Waldmannstetter, F Kofler, S Cerri, A Hering, ... Frontiers in Neuroimaging 1, 977491, 2022 | 2 | 2022 |
| QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge HB Li, F Navarro, I Ezhov, A Bayat, D Das, F Kofler, S Shit, ... arXiv preprint arXiv:2405.18435, 2024 | 1 | 2024 |
| Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping C Pirkl, M Cencini, JW Kurzawski, D Waldmannstetter, H Li, A Sekuboyina, ... Medical Imaging with Deep Learning, 2021 | 1 | 2021 |
| Primitive Simultaneous Optimization of Similarity Metrics for Image Registration D Waldmannstetter, B Wiestler, J Schwarting, I Ezhov, M Metz, S Bakas, ... arXiv preprint arXiv:2304.01601, 2023 | | 2023 |
