TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks. - Tobias Czempiel; Magdalini Paschali; Matthias Keicher; Walter Simson; Hubertus Feussner; Seong Tae Kim 001; Nassir Navab (MICCAI (3), 2020)

OperA: Attention-Regularized Transformers for Surgical Phase Recognition. - Tobias Czempiel; Magdalini Paschali; Daniel Ostler; Seong Tae Kim 001; Benjamin Busam; Nassir Navab (MICCAI (4), 2021)

Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs. - Seong Tae Kim 001; Leili Goli; Magdalini Paschali; Ashkan Khakzar; Matthias Keicher; Tobias Czempiel; Egon Burian; Rickmer Braren; Nassir Navab; Thomas Wendler 001 (MICCAI (7), 2021)

U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction. - Matthias Keicher; Hendrik Burwinkel; David Bani-Harouni; Magdalini Paschali; Tobias Czempiel; Egon Burian; Marcus R. Makowski; Rickmer Braren; Nassir Navab; Thomas Wendler 001 (CoRR, 2021)

Surgical Workflow Recognition: From Analysis of Challenges to Architectural Study. - Tobias Czempiel; Aidean Sharghi; Magdalini Paschali; Nassir Navab; Omid Mohareri (ECCV Workshops (3), 2022)

4D-OR: Semantic Scene Graphs for OR Domain Modeling. - Ege Özsoy; Evin Pinar Örnek; Ulrich Eck; Tobias Czempiel; Federico Tombari; Nassir Navab (MICCAI (8), 2022)

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. - Maximilian Berlet; Thomas Vogel 003; Daniel Ostler; Tobias Czempiel; M. Kähler; Stephan Brunner; Hubertus Feussner; Dirk Wilhelm; Michael Kranzfelder (Int. J. Comput. Assist. Radiol. Surg., 2022)

Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study. - Tobias Czempiel; Aidean Sharghi; Magdalini Paschali; Omid Mohareri (CoRR, 2022)

Longitudinal Self-Supervision for COVID-19 Pathology Quantification. - Tobias Czempiel; Coco Rogers; Matthias Keicher; Magdalini Paschali; Rickmer Braren; Egon Burian; Marcus R. Makowski; Nassir Navab; Thomas Wendler 001; Seong Tae Kim 001 (CoRR, 2022)

Few-shot Structured Radiology Report Generation Using Natural Language Prompts. - Matthias Keicher; Kamilia Mullakaeva; Tobias Czempiel; Kristina Mach; Ashkan Khakzar; Nassir Navab (CoRR, 2022)

Dynamic Scene Graph Representation for Surgical Video. - Felix Holm; Ghazal Ghazaei; Tobias Czempiel; Ege Özsoy; Stefan Saur; Nassir Navab (ICCV (Workshops), 2023)

LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms. - Ege Özsoy; Tobias Czempiel; Felix Holm; Chantal Pellegrini; Nassir Navab (MICCAI (9), 2023)

FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays. - Matthias Keicher; Kamilia Zaripova; Tobias Czempiel; Kristina Mach; Ashkan Khakzar; Nassir Navab (MIDL, 2023)

Location-Free Scene Graph Generation. - Ege Özsoy; Felix Holm; Tobias Czempiel; Nassir Navab; Benjamin Busam (CoRR, 2023)

Whether and When does Endoscopy Domain Pretraining Make Sense? - Dominik Batic; Felix Holm; Ege Özsoy; Tobias Czempiel; Nassir Navab (CoRR, 2023)

Symphony of Time: Temporal Deep Learning for Surgical Activity Recognition (Symphonie der Zeit: Temporale Deep Learning Methoden für die Erkennung chirurgischer Aktivitäten) - Tobias Czempiel (2023)

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. - Chinedu Innocent Nwoye; Deepak Alapatt; Tong Yu 009; Armine Vardazaryan; Fangfang Xia; Zixuan Zhao; Tong Xia; Fucang Jia; Yuxuan Yang; Hao Wang 081; Derong Yu; Guoyan Zheng; et al. (Medical Image Anal., 2023)

DisguisOR: holistic face anonymization for the operating room. - Lennart Bastian; Tony Danjun Wang; Tobias Czempiel; Benjamin Busam; Nassir Navab (Int. J. Comput. Assist. Radiol. Surg., 2023)

Know your sensors - a modality study for surgical action classification. - Lennart Bastian; Tobias Czempiel; Christian Heiliger; Konrad Karcz; Ulrich Eck; Benjamin Busam; Nassir Navab (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. - Chinedu Innocent Nwoye; Tong Yu 009; Saurav Sharma; Aditya Murali; Deepak Alapatt; Armine Vardazaryan; Kun Yuan 004; Jonas Hajek; Wolfgang Reiter; Amine Yamlahi; Finn-Henri Smidt; Xiaoyang Zou; et al. (Medical Image Anal., 2023)

RGB to Hyperspectral: Spectral Reconstruction for Enhanced Surgical Imaging. - Tobias Czempiel; Alfie Roddan; Maria Leiloglou; Zepeng Hu; Kevin O'Neill; Giulio Anichini; Danail Stoyanov; Daniel S. Elson (CoRR, 2024)

Holistic OR domain modeling: a semantic scene graph approach. - Ege Özsoy; Tobias Czempiel; Evin Pinar Örnek; Ulrich Eck; Federico Tombari; Nassir Navab (Int. J. Comput. Assist. Radiol. Surg., 2024)

EndoViT: pretraining vision transformers on a large collection of endoscopic images. - Dominik Batic; Felix Holm; Ege Özsoy; Tobias Czempiel; Nassir Navab (Int. J. Comput. Assist. Radiol. Surg., 2024)

Location-Free Scene Graph Generation. - Ege Özsoy; Felix Holm; Chantal Pellegrini; Tobias Czempiel; Mahdi Saleh; Nassir Navab; Benjamin Busam (CVPR Workshops, 2025)

MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments. - Ege Özsoy; Chantal Pellegrini; Tobias Czempiel; Felix Tristram; Kun Yuan 004; David Bani-Harouni; Ulrich Eck; Benjamin Busam; Matthias Keicher; Nassir Navab (CVPR, 2025)

Beyond role-based surgical domain modeling: Generalizable re-identification in the operating room. - Tony Danjun Wang; Lennart Bastian; Tobias Czempiel; Christian Heiliger; Nassir Navab (Medical Image Anal., 2025)

Robotic Arm Platform for Multi-View Image Acquisition and 3D Reconstruction in Minimally Invasive Surgery. - Alexander Saikia; Chiara Di Vece; Sierra Bonilla; Chloe He 002; Morenike Magbagbeola; Laurent Mennillo; Tobias Czempiel; Sophia Bano; Danail Stoyanov (IEEE Robotics Autom. Lett., 2025)

Multimodal imaging platform for enhanced tumor resection in neurosurgery: integrating hyperspectral and pCLE technologies. - Alfie Roddan; Tobias Czempiel; Chi Xu; Haozheng Xu; Alistair Weld; Vadzim Chalau; Giulio Anichini; Daniel S. Elson; Stamatia Giannarou (Int. J. Comput. Assist. Radiol. Surg., 2025)

SAMSA: Segment Anything Model Enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation. - Alfie Roddan; Tobias Czempiel; Chi Xu; Daniel S. Elson; Stamatia Giannarou (CoRR, 2025)

SAMSA 2.0: Prompting Segment Anything with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation. - Alfie Roddan; Tobias Czempiel; Chi Xu; Daniel S. Elson; Stamatia Giannarou (CoRR, 2025)

Mitigating Biases in Surgical Operating Rooms with Geometry. - Tony Danjun Wang; Tobias Czempiel; Nassir Navab; Lennart Bastian (CoRR, 2025)