Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos. - Armine Vardazaryan; Didier Mutter; Jacques Marescaux; Nicolas Padoy (CVII-STENT/LABELS@MICCAI, 2018)

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)

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. - Martin Wagner 001; Beat Peter Müller-Stich; Anna Kisilenko; Duc Tran; Patrick Heger; Lars Mündermann; David M. Lubotsky; Benjamin Müller; Tornike Davitashvili; Manuela Capek; Annika Reinke; Tong Yu 009; 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)

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)

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)

Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos. - Joël L. Lavanchy; Armine Vardazaryan; Pietro Mascagni; AI4SafeChole Consortium; Didier Mutter; 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)

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)

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. - Martin Wagner 001; Beat P. Müller-Stich; Anna Kisilenko; Duc Tran; Patrick Heger; Lars Mündermann; David M. Lubotsky; Benjamin Müller; Tornike Davitashvili; Manuela Capek; Annika Reinke; Carissa Reid; 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)

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)

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment. - Farahdiba Zarin; Riccardo Oliva; Vinkle Srivastav; Armine Vardazaryan; Andrea Rosati; Alice Zampolini Faustini; Giovanni Scambia; Anna Fagotti; Pietro Mascagni; Nicolas Padoy (CoRR, 2025)