| Tecno: Surgical phase recognition with multi-stage temporal convolutional networks T Czempiel, M Paschali, M Keicher, W Simson, H Feussner, ST Kim, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 175 | 2020 |
| FhSPECT-US guided needle biopsy of sentinel lymph nodes in the axilla: is it feasible? A Okur, C Hennersperger, B Runyan, J Gardiazabal, M Keicher, S Paepke, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 30 | 2014 |
| AI for doctors—a course to educate medical professionals in artificial intelligence for medical imaging DM Hedderich, M Keicher, B Wiestler, MJ Gruber, H Burwinkel, ... Healthcare 9 (10), 1278, 2021 | 28 | 2021 |
| Interventional 3D Augmented Reality for Orthopedic and Trauma Surgery GO Javad Fotouhi, Bernhard Fuerst, Sing Chun Lee, Matthias Keicher, Marius ... 16th Annual Meeting of the International Society for Computer Assisted …, 2016 | 25 | 2016 |
| Chexplaining in style: Counterfactual explanations for chest x-rays using stylegan M Atad, V Dmytrenko, Y Li, X Zhang, M Keicher, J Kirschke, B Wiestler, ... arXiv preprint arXiv:2207.07553, 2022 | 22 | 2022 |
| Coating typologies and constrained swelling of hyaluronic acid gels within scaffold pores M Arnal-Pastor, A Vallés-Lluch, M Keicher, MM Pradas Journal of colloid and interface science 361 (1), 361-369, 2011 | 22 | 2011 |
| RaDialog: A large vision-language model for radiology report generation and conversational assistance C Pellegrini, E Özsoy, B Busam, N Navab, M Keicher arXiv preprint arXiv:2311.18681, 2023 | 15 | 2023 |
| Multimodal graph attention network for COVID-19 outcome prediction M Keicher, H Burwinkel, D Bani-Harouni, M Paschali, T Czempiel, ... Scientific Reports 13 (1), 19539, 2023 | 13 | 2023 |
| FlexR: few-shot classification with language embeddings for structured reporting of chest x-rays M Keicher, K Zaripova, T Czempiel, K Mach, A Khakzar, N Navab Medical Imaging with Deep Learning, 1493-1508, 2024 | 12* | 2024 |
| Longitudinal quantitative assessment of covid-19 infection progression from chest cts ST Kim, L Goli, M Paschali, A Khakzar, M Keicher, T Czempiel, E Burian, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 12 | 2021 |
| Xplainer: From x-ray observations to explainable zero-shot diagnosis C Pellegrini, M Keicher, E Özsoy, P Jiraskova, R Braren, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 10 | 2023 |
| Continual class incremental learning for ct thoracic segmentation A Elskhawy, A Lisowska, M Keicher, J Henry, P Thomson, N Navab Domain Adaptation and Representation Transfer, and Distributed and …, 2020 | 10 | 2020 |
| Glowin: A flow-based invertible generative framework for learning disentangled feature representations in medical images A Sankar, M Keicher, R Eisawy, A Parida, F Pfister, ST Kim, N Navab arXiv preprint arXiv:2103.10868, 2021 | 9 | 2021 |
| Interpretable vertebral fracture diagnosis P Engstler, M Keicher, D Schinz, K Mach, AS Gersing, SC Foreman, ... International Workshop on Interpretability of Machine Intelligence in …, 2022 | 8 | 2022 |
| Semantic latent space regression of diffusion autoencoders for vertebral fracture grading M Keicher, M Atad, D Schinz, AS Gersing, SC Foreman, SS Goller, ... arXiv preprint arXiv:2303.12031, 2023 | 7 | 2023 |
| Rad-restruct: A novel vqa benchmark and method for structured radiology reporting C Pellegrini, M Keicher, E Özsoy, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 5 | 2023 |
| Vol2flow: segment 3d volumes using a sequence of registration flows A Bitarafan, MF Azampour, K Bakhtari, M Soleymani Baghshah, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 4 | 2022 |
| ToxNet: an artificial intelligence designed for decision support for toxin prediction T Zellner, K Romanek, C Rabe, S Schmoll, S Geith, EC Heier, R Stich, ... Clinical Toxicology 61 (1), 56-63, 2023 | 3 | 2023 |
| Decision support for intoxication prediction using graph convolutional networks H Burwinkel, M Keicher, D Bani-Harouni, T Zellner, F Eyer, N Navab, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 3 | 2020 |
| U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic FDG-PET Images M Kollovieh, M Keicher, S Wunderlich, H Burwinkel, T Wendler, N Navab arXiv preprint arXiv:2206.08078, 2022 | 2 | 2022 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
