| TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks T Czempiel, M Paschali, M Keicher, W Simson, H Feussner, ST Kim, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 79 | 2020 |
| OperA: Attention-Regularized Transformers for Surgical Phase Recognition T Czempiel, M Paschali, D Ostler, ST Kim, B Busam, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 35 | 2021 |
| Cholectriplet2021: A benchmark challenge for surgical action triplet recognition CI Nwoye, D Alapatt, T Yu, A Vardazaryan, F Xia, Z Zhao, T Xia, F Jia, ... arXiv preprint arXiv:2204.04746, 2022 | 7 | 2022 |
| 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 | 7 | 2021 |
| 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 | 5 | 2021 |
| 4d-or: Semantic scene graphs for or domain modeling E Özsoy, EP Örnek, U Eck, T Czempiel, F Tombari, N Navab Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022 | 3 | 2022 |
| 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 | 3 | 2021 |
| Surgical reporting for laparoscopic cholecystectomy based on phase annotation by a convolutional neural network (CNN) and the phenomenon of phase flickering: a proof of concept M Berlet, T Vogel, D Ostler, T Czempiel, M Kähler, S Brunner, H Feussner, ... International Journal of Computer Assisted Radiology and Surgery 17 (11 …, 2022 | 2 | 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 |
| Know your sensors—a modality study for surgical action classification L Bastian, T Czempiel, C Heiliger, K Karcz, U Eck, B Busam, N Navab Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2022 | | 2022 |
| PLAFOKON: a new concept for a patient-individual and intervention-specific flexible surgical platform L Bernhard, R Krumpholz, Y Krieger, T Czempiel, A Meining, N Navab, ... Surgical Endoscopy, 1-10, 2022 | | 2022 |
| Image-based supportive measures for future application in surgery R Hartwig, M Berlet, T Czempiel, J Fuchtmann, T Rückert, H Feussner, ... Chirurgie (Heidelberg, Germany), 2022 | | 2022 |
| Few-shot Structured Radiology Report Generation Using Natural Language Prompts M Keicher, K Mullakaeva, T Czempiel, K Mach, A Khakzar, N Navab arXiv preprint arXiv:2203.15723, 2022 | | 2022 |
| Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study T Czempiel, A Sharghi, M Paschali, O Mohareri arXiv preprint arXiv:2203.09230, 2022 | | 2022 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenПотвърден имейл адрес: cs.tum.edu
