| 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 | 203 | 2020 |
| 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 | 38 | 2021 |
| 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 | 32 | 2023 |
| 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 | 31 | 2014 |
| 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 | 29 | 2022 |
| 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 |
| 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 |
| 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 | 21 | 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 | 20 | 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 | 17* | 2024 |
| 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 | 16 | 2023 |
| 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 | 13 | 2021 |
| Continual class incremental learning for ct thoracic segmentation A Elskhawy, A Lisowska, M Keicher, J Henry, P Thomson, N Navab MICCAI Workshop on Domain Adaptation and Representation Transfer, 106-116, 2020 | 13 | 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 | 10 | 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 |
| 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 | 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, ... Workshop on Interpretability of Machine Intelligence in Medical Image …, 2023 | 7 | 2023 |
| ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling E Özsoy, C Pellegrini, M Keicher, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 3 | 2024 |
| MAGDA: Multi-agent guideline-driven diagnostic assistance D Bani-Harouni, N Navab, M Keicher International workshop on foundation models for general medical AI, 163-172, 2024 | 3 | 2024 |
| 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 |
Nassir NavabProfessor of Computer Science, Technische Universität Münchencs.tum.edu의 이메일 확인됨