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07/18/2023
Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions
Surgical action triplets describe instrument-tissue interactions as (ins...
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02/21/2023
Weakly Supervised Temporal Convolutional Networks for Fine-grained Surgical Activity Recognition
Automatic recognition of fine-grained surgical activities, called steps,...
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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...
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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...
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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...
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12/08/2022
Latent Graph Representations for Critical View of Safety Assessment
Assessing the critical view of safety in laparoscopic cholecystectomy re...
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11/30/2022
Rendezvous in Time: An Attention-based Temporal Fusion approach for Surgical Triplet Recognition
One of the recent advances in surgical AI is the recognition of surgical...
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04/10/2022
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Context-aware decision support in the operating room can foster surgical...
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03/08/2022
Live Laparoscopic Video Retrieval with Compressed Uncertainty
Searching through large volumes of medical data to retrieve relevant inf...
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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,...
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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...
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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 ...
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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...
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12/04/2018
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos
Purpose: Real-time surgical tool tracking is a core component of the fut...
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11/30/2018
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition
Vision algorithms capable of interpreting scenes from a real-time video ...
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11/28/2018
Future-State Predicting LSTM for Early Surgery Type Recognition
This work presents a novel approach for the early recognition of the typ...
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06/14/2018
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
Surgical tool localization is an essential task for the automatic analys...
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05/22/2018
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks
Real-time algorithms for automatically recognizing surgical phases are n...
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02/09/2018
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations
Objective: Accurate surgery duration estimation is necessary for optimal...
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10/27/2016
Single- and Multi-Task Architectures for Tool Presence Detection Challenge at M2CAI 2016
The tool presence detection challenge at M2CAI 2016 consists of identify...
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10/27/2016
Single- and Multi-Task Architectures for Surgical Workflow Challenge at M2CAI 2016
The surgical workflow challenge at M2CAI 2016 consists of identifying 8 ...
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02/09/2016