Numerical solution of nonlinear fractional SEIR epidemic model by using Haar wavelets. - Bijil Prakash; Amit Setia; Deepak Alapatt (J. Comput. Sci., 2017)

Artificial Intelligence in Surgery: Neural Networks and Deep Learning. - Deepak Alapatt; Pietro Mascagni; Vinkle Srivastav; Nicolas Padoy (CoRR, 2020)

Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety. - Pietro Mascagni; Deepak Alapatt; Alain Garcia; Nariaki Okamoto; Armine Vardazaryan; Guido Costamagna; Bernard Dallemagne; Nicolas Padoy (CoRR, 2021)

2020 CATARACTS Semantic Segmentation Challenge. - Imanol Luengo; Maria Grammatikopoulou; Rahim Mohammadi; Chris Walsh; Chinedu Innocent Nwoye; Deepak Alapatt; Nicolas Padoy; Zhen-Liang Ni; Chen-Chen Fan; Gui-Bin Bian; Zeng-Guang Hou; Heonjin Ha; et al. (CoRR, 2021)

Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation. - Deepak Alapatt; Pietro Mascagni; Armine Vardazaryan; Alain Garcia; Nariaki Okamoto; Didier Mutter; Jacques Marescaux; Guido Costamagna; Bernard Dallemagne; Nicolas Padoy (CoRR, 2021)

Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases. - Hasan Kassem; Deepak Alapatt; Pietro Mascagni; AI4SafeChole Consortium; Alexandros Karargyris; Nicolas Padoy (CoRR, 2022)

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)

Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation. - Pietro Mascagni; Deepak Alapatt; Alfonso Lapergola; Armine Vardazaryan; Jean-Paul Mazellier; Bernard Dallemagne; Didier Mutter; Nicolas Padoy (CoRR, 2022)

Biomedical image analysis competitions: The state of current participation practice. - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Patrick Godau; Veronika Cheplygina; Michal Kozubek 001; Sharib Ali; Anubha Gupta; Jan Kybic; et al. (CoRR, 2022)

Computer vision in surgery: from potential to clinical value. - Pietro Mascagni; Deepak Alapatt; Luca Sestini; Maria S. Altieri; Amin Madani; Yusuke Watanabe; Adnan Alseidi; Jay A. Redan; Sergio Alfieri; Guido Costamagna; Ivo Boskoski; Nicolas Padoy; et al. (npj Digit. Medicine, 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)

Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases. - Hasan Kassem; Deepak Alapatt; Pietro Mascagni; Alexandros Karargyris; Nicolas Padoy (IEEE Trans. Medical Imaging, 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)

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)

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)