78 citations · 140 across the 29 of their papers we have counts for
4 papers · 1 filter
Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene Understanding
Lalithkumar Seenivasan, Mobarakol Islam, Mengya Xu +2
Purpose: Surgery scene understanding with tool-tissue interaction recognition and automatic report generation can play an important role in intra-operative guidance, decision-makin…
Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer
Lalithkumar Seenivasan, Mobarakol Islam, Adithya K Krishna +1
Visual question answering (VQA) in surgery is largely unexplored. Expert surgeons are scarce and are often overloaded with clinical and academic workloads. This overload often limi…
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu +59
Context-aware decision support in the operating room can foster surgical safety and efficiency by leveraging real-time feedback from surgical workflow analysis. Most existing works…
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding
Lalithkumar Seenivasan, Sai Mitheran, Mobarakol Islam +1
Global and local relational reasoning enable scene understanding models to perform human-like scene analysis and understanding. Scene understanding enables better semantic segmenta…