| 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 | 99 | 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 | 28 | 2014 |
| 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 | 24 | 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 |
| 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 | 8 | 2021 |
| 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 | 8 | 2021 |
| 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 | 6 | 2021 |
| U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction M Keicher, H Burwinkel, D Bani-Harouni, M Paschali, T Czempiel, ... arXiv preprint arXiv:2108.00860, 2021 | 5 | 2021 |
| 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 | 4 | 2020 |
| 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 | 3 | 2022 |
| 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, 2023 | 2* | 2023 |
| Interpretable Vertebral Fracture Diagnosis P Engstler, M Keicher, D Schinz, K Mach, AS Gersing, SC Foreman, ... Interpretability of Machine Intelligence in Medical Image Computing: 5th …, 2022 | 2 | 2022 |
| 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 | 2 | 2020 |
| 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| Longitudinal Self-Supervision for COVID-19 Pathology Quantification T Czempiel, C Rogers, M Keicher, M Paschali, R Braren, E Burian, ... arXiv preprint arXiv:2203.10804, 2022 | 1 | 2022 |
| Decision support for toxin prediction using artificial intelligence T Zellner, H Burwinkel, M Keicher, D Bani-Harouni, N Navab, SA Ahmadi, ... | 1 | 2021 |
| Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays Y Xiong, J Liu, K Zaripova, S Sharifzadeh, M Keicher, N Navab arXiv preprint arXiv:2303.13818, 2023 | | 2023 |
| Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis C Pellegrini, M Keicher, E Özsoy, P Jiraskova, R Braren, N Navab arXiv preprint arXiv:2303.13391, 2023 | | 2023 |
| 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 | | 2023 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenBestätigte E-Mail-Adresse bei cs.tum.edu
