Aditya Murali

19 papers Misc 2Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ultrasam: a foundation model for ultrasound using large open-access segmentation datasets.
Int. J. Comput. Assist. Radiol. Surg.
Adrien Meyer, Aditya Murali, Farahdiba Zarin, Didier Mutter, Nicolas Padoy
2025 — —
Learning object-centric latent representations of surgical videos for fine-grained recognition tasks. (Apprentissage de représentations latentes centrées sur les objets pour la reconnaissance de tâches fines dans des vidéos chirurgicales).
Aditya Murali
2024 J jnl
CycleSAM: One-Shot Surgical Scene Segmentation using Cycle-Consistent Feature Matching to Prompt SAM.
CoRR
Aditya Murali, Pietro Mascagni, Didier Mutter, Nicolas Padoy
2024 — conf
Jumpstarting Surgical Computer Vision.
MICCAI (6)
Deepak Alapatt, Aditya Murali, Vinkle Srivastav, Pietro Mascagni, Nicolas Padoy
2024 J jnl
Latent Graph Representations for Critical View of Safety Assessment.
IEEE Trans. Medical Imaging
Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Nicolas Padoy
2024 J jnl
Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain Transfer.
CoRR
Siddhant Satyanaik, Aditya Murali, Deepak Alapatt, Xin Wang, Pietro Mascagni, Nicolas Padoy
2024 J jnl
Optimizing latent graph representations of surgical scenes for unseen domain generalization.
Int. J. Comput. Assist. Radiol. Surg.
Siddhant Satyanaik, Aditya Murali, Deepak Alapatt, Xin Wang, Pietro Mascagni, Nicolas Padoy
2024 J jnl
UltraSam: A Foundation Model for Ultrasound using Large Open-Access Segmentation Datasets.
CoRR
Adrien Meyer, Aditya Murali, Didier Mutter, Nicolas Padoy
2023 J jnl
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.
Medical Image Anal.
Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy
2023 J jnl
CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection.
CoRR
Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy
2023 J jnl
Dissecting self-supervised learning methods for surgical computer vision.
Medical Image Anal.
Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Saurav Sharma, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy
2023 — conf
Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning.
MICCAI (9)
Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Nicolas Padoy
2023 J jnl
Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning.
CoRR
Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Nicolas Padoy
2023 J jnl
Jumpstarting Surgical Computer Vision.
CoRR
Deepak Alapatt, Aditya Murali, Vinkle Srivastav, Pietro Mascagni, AI4SafeChole Consortium, Nicolas Padoy
2023 J jnl
The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark.
CoRR
Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Guido Costamagna, Didier Mutter, Jacques Marescaux, Bernard Dallemagne, Nicolas Padoy
2022 J jnl
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision.
CoRR
Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy
2022 J jnl
Latent Graph Representations for Critical View of Safety Assessment.
CoRR
Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Nicolas Padoy
2021 Misc conf
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer.
CoRL
Andrew Hundt, Aditya Murali, Priyanka Hubli, Ran Liu, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager
2021 Misc conf
Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions.
CoRL
Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager