Tobias Czempiel
Tobias Czempiel
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Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
Location-Free Scene Graph Generation
E Özsoy, F Holm, T Czempiel, N Navab, B Busam
arXiv preprint arXiv:2303.10944, 2023
Surgical Workflow Recognition: From Analysis of Challenges to Architectural Study
T Czempiel, A Sharghi, M Paschali, N Navab, O Mohareri
Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022 …, 2023
CholecTriplet2022: Show me a tool and tell me the triplet--an endoscopic vision challenge for surgical action triplet detection
CI Nwoye, T Yu, S Sharma, A Murali, D Alapatt, A Vardazaryan, K Yuan, ...
arXiv preprint arXiv:2302.06294, 2023
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
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
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
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