activity
20212025
most citedThe Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark

24 citations · 57 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2025★ 14 cited

Surgeons Awareness, Expectations, and Involvement with Artificial Intelligence: a Survey Pre and Post the GPT Era

Lorenzo Arboit, Dennis N. Schneider, Toby Collins +7

Artificial Intelligence (AI) is transforming medicine, with generative AI models like ChatGPT reshaping perceptions of its potential. This study examines surgeons' awareness, expec…

cs.CV2023★ 24 cited

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 +8

This technical report provides a detailed overview of Endoscapes, a dataset of laparoscopic cholecystectomy (LC) videos with highly intricate annotations targeted at automated asse…

eess.IV2022

Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation

Pietro Mascagni, Deepak Alapatt, Alfonso Lapergola +5

Artificial intelligence is set to be deployed in operating rooms to improve surgical care. This early-stage clinical evaluation shows the feasibility of concurrently attaining real…

cs.CV2021★ 5 cited

Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation

Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan +7

A major obstacle to building models for effective semantic segmentation, and particularly video semantic segmentation, is a lack of large and well annotated datasets. This bottlene…

eess.IV2021★ 9 cited

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 +5

Minimally invasive image-guided surgery heavily relies on vision. Deep learning models for surgical video analysis could therefore support visual tasks such as assessing the critic…

q-bio.TO2021★ 5 cited

Intraoperative time out to promote the implementation of the critical view of safety in laparoscopic cholecystectomy: a video-based assessment of 343 procedures

Pietro Mascagni, Maria Rita Rodriguez-Luna, Takeshi Urade +7

Background: The critical view of safety (CVS) is poorly adopted in surgical practices although it is ubiquitously recommended to prevent major bile duct injuries during laparoscopi…