most citedFrom Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments

3 citations · 3 across the 5 of their papers we have counts for

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cs.CV2025

Endoshare: A Publicly Available, Surgeons-Friendly Solution to De-Identify and Manage Surgical Videos

Lorenzo Arboit, Dennis N. Schneider, Britty Baby +3

Video-based assessment and surgical data science can advance surgical training, research, and quality improvement, yet adoption remains limited by heterogeneous recording formats a…

cs.CV2025

Expert Consensus-based Video-Based Assessment Tool for Workflow Analysis in Minimally Invasive Colorectal Surgery: Development and Validation of ColoWorkflow

Pooja P Jain, Pietro Mascagni, Giuseppe Massimiani +14

Minimally invasive colorectal surgery is characterized by procedural variability, a difficult learning curve, and complications that impact quality and outcomes. Video-based assess…

cs.CV2025

Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision

Soham Walimbe, Britty Baby, Vinkle Srivastav +1

Surgical AI often involves multiple tasks within a single procedure, like phase recognition or assessing the Critical View of Safety in laparoscopic cholecystectomy. Traditional mo…

cs.CV2025

Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition

Britty Baby, Vinkle Srivastav, Pooja P. Jain +3

The Critical View of Safety (CVS) is crucial for safe laparoscopic cholecystectomy, yet assessing CVS criteria remains a complex and challenging task, even for experts. Traditional…

cs.CV2022★ 3 cited

From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments

Britty Baby, Daksh Thapar, Mustafa Chasmai +5

Minimally invasive surgeries and related applications demand surgical tool classification and segmentation at the instance level. Surgical tools are similar in appearance and are l…