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∙ 07/27/2023

Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures

Recent advancements in surgical computer vision applications have been d...

0 Kun Yuan, et al. ∙

∙ 02/21/2023

Weakly Supervised Temporal Convolutional Networks for Fine-grained Surgical Activity Recognition

Automatic recognition of fine-grained surgical activities, called steps,...

0 Sanat Ramesh, et al. ∙

∙ 02/13/2023

CholecTriplet2022: Show me a tool and tell me the triplet – an endoscopic vision challenge for surgical action triplet detection

Formalizing surgical activities as triplets of the used instruments, act...

1 Chinedu Innocent Nwoye, et al. ∙

∙ 01/17/2023

Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos

Objective: To develop and validate a deep learning model for the identif...

0 Joël L. Lavanchy, et al. ∙

∙ 12/13/2022

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

Artificial intelligence is set to be deployed in operating rooms to impr...

0 Pietro Mascagni, et al. ∙

∙ 12/08/2022

Latent Graph Representations for Critical View of Safety Assessment

Assessing the critical view of safety in laparoscopic cholecystectomy re...

0 Aditya Murali, et al. ∙

∙ 04/10/2022

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Context-aware decision support in the operating room can foster surgical...

32 Chinedu Innocent Nwoye, et al. ∙

∙ 03/08/2022

Live Laparoscopic Video Retrieval with Compressed Uncertainty

Searching through large volumes of medical data to retrieve relevant inf...

0 Tong Yu, et al. ∙

∙ 12/27/2021

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

A major obstacle to building models for effective semantic segmentation,...

39 Deepak Alapatt, et al. ∙

∙ 09/07/2021

Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos

Out of all existing frameworks for surgical workflow analysis in endosco...

0 Chinedu Innocent Nwoye, et al. ∙

∙ 06/21/2021

Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety

Minimally invasive image-guided surgery heavily relies on vision. Deep l...

0 Pietro Mascagni, et al. ∙

∙ 02/24/2021

Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures

Purpose: Automatic segmentation and classification of surgical activity ...

0 Sanat Ramesh, et al. ∙

∙ 09/28/2020

Artificial Intelligence in Surgery: Neural Networks and Deep Learning

Deep neural networks power most recent successes of artificial intellige...

0 Deepak Alapatt, et al. ∙

∙ 07/10/2020

Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets

Recognition of surgical activity is an essential component to develop co...

0 Chinedu Innocent Nwoye, et al. ∙

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