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09/04/2023
SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools
Instance segmentation of surgical instruments is a long-standing researc...
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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...
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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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06/26/2023
INDEXITY: a web-based collaborative tool for medical video annotation
This technical report presents Indexity 1.4.0, a web-based tool designed...
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05/11/2023
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge
The ability to automatically detect and track surgical instruments in en...
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03/22/2023
Self-distillation for surgical action recognition
Surgical scene understanding is a key prerequisite for contextaware deci...
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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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04/11/2022
Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets
In addition to generating data and annotations, devising sensible data s...
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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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02/16/2022
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation
Automatic surgical instrument segmentation of endoscopic images is a cru...
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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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09/30/2021
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark
PURPOSE: Surgical workflow and skill analysis are key technologies for t...
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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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08/26/2021
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR
The fine-grained localization of clinicians in the operating room (OR) i...
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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...
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02/28/2021
A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images
3-D pose estimation of instruments is a crucial step towards automatic s...
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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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09/30/2020
Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval
This paper tackles a new problem in computer vision: mid-stream video-to...
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09/28/2020
Artificial Intelligence in Surgery: Neural Networks and Deep Learning
Deep neural networks power most recent successes of artificial intellige...
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07/16/2020
Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation
2D/3D human pose estimation is needed to develop novel intelligent tools...
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07/16/2020
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images
Human pose estimation (HPE) is a key building block for developing AI-ba...
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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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10/20/2019
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions
Data-driven computational approaches have evolved to enable extraction o...
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02/13/2019
Self-Supervised Surgical Tool Segmentation using Kinematic Information
Surgical tool segmentation in endoscopic images is the first step toward...
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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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11/29/2018
Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach
Purpose: Face detection is a needed component for the automatic analysis...
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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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08/24/2018
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation
Person detection and pose estimation is a key requirement to develop int...
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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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06/08/2018
Surgical Data Science: A Consensus Perspective
Surgical data science is a scientific discipline with the objective of i...
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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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04/27/2018
A generalizable approach for multi-view 3D human pose regression
Despite the significant improvement in the performance of monocular pose...
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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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01/25/2017
A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms
Many approaches have been proposed for human pose estimation in single a...
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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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02/10/2016
Articulated Clinician Detection Using 3D Pictorial Structures on RGB-D Data
Reliable human pose estimation (HPE) is essential to many clinical appli...
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02/09/2016
