"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer. - Andrew Hundt; Aditya Murali; Priyanka Hubli; Ran Liu; Nakul Gopalan; Matthew C. Gombolay; Gregory D. Hager (CoRL, 2021)

Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions. - Elias Stengel-Eskin; Andrew Hundt; Zhuohong He; Aditya Murali; Nakul Gopalan; Matthew C. Gombolay; Gregory D. Hager (CoRL, 2021)

Dissecting Self-Supervised Learning Methods for Surgical Computer Vision. - Sanat Ramesh; Vinkle Srivastav; Deepak Alapatt; Tong Yu 009; Aditya Murali; Luca Sestini; Chinedu Innocent Nwoye; Idris Hamoud; Antoine Fleurentin; Georgios Exarchakis; Alexandros Karargyris; Nicolas Padoy (CoRR, 2022)

Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning. - Aditya Murali; Deepak Alapatt; Pietro Mascagni; Armine Vardazaryan; Alain Garcia; Nariaki Okamoto; Didier Mutter; Nicolas Padoy (MICCAI (9), 2023)

Jumpstarting Surgical Computer Vision. - Deepak Alapatt; Aditya Murali; Vinkle Srivastav; Pietro Mascagni; AI4SafeChole Consortium; Nicolas Padoy (CoRR, 2023)

The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark. - Aditya Murali; Deepak Alapatt; Pietro Mascagni; Armine Vardazaryan; Alain Garcia; Nariaki Okamoto; Guido Costamagna; Didier Mutter; Jacques Marescaux; Bernard Dallemagne; Nicolas Padoy (CoRR, 2023)

Dissecting self-supervised learning methods for surgical computer vision. - Sanat Ramesh; Vinkle Srivastav; Deepak Alapatt; Tong Yu 009; Aditya Murali; Luca Sestini; Chinedu Innocent Nwoye; Idris Hamoud; Saurav Sharma; Antoine Fleurentin; Georgios Exarchakis; Alexandros Karargyris; et al. (Medical Image Anal., 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)

Jumpstarting Surgical Computer Vision. - Deepak Alapatt; Aditya Murali; Vinkle Srivastav; Pietro Mascagni; Nicolas Padoy (MICCAI (6), 2024)

Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain Transfer. - Siddhant Satyanaik; Aditya Murali; Deepak Alapatt; Xin Wang; Pietro Mascagni; Nicolas Padoy (CoRR, 2024)

CycleSAM: One-Shot Surgical Scene Segmentation using Cycle-Consistent Feature Matching to Prompt SAM. - Aditya Murali; Pietro Mascagni; Didier Mutter; Nicolas Padoy (CoRR, 2024)

UltraSam: A Foundation Model for Ultrasound using Large Open-Access Segmentation Datasets. - Adrien Meyer; Aditya Murali; Didier Mutter; Nicolas Padoy (CoRR, 2024)

Latent Graph Representations for Critical View of Safety Assessment. - Aditya Murali; Deepak Alapatt; Pietro Mascagni; Armine Vardazaryan; Alain Garcia; Nariaki Okamoto; Didier Mutter; Nicolas Padoy (IEEE Trans. Medical Imaging, 2024)

Optimizing latent graph representations of surgical scenes for unseen domain generalization. - Siddhant Satyanaik; Aditya Murali; Deepak Alapatt; Xin Wang; Pietro Mascagni; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2024)