b'Nicolas Padoy'

research

∙ 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...

0 Luca Sestini, et al. ∙

research

∙ 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. ∙

research

∙ 07/18/2023

Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions

Surgical action triplets describe instrument-tissue interactions as (ins...

0 Saurav Sharma, et al. ∙

research

∙ 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...

0 Jean-Paul Mazellier, et al. ∙

research

∙ 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...

17 Aneeq Zia, et al. ∙

research

∙ 03/22/2023

Self-distillation for surgical action recognition

Surgical scene understanding is a key prerequisite for contextaware deci...

2 Amine Yamlahi, et al. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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...

0 Saurav Sharma, et al. ∙

research

∙ 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...

0 Chinedu Innocent Nwoye, et al. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 02/16/2022

FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation

Automatic surgical instrument segmentation of endoscopic images is a cru...

3 Luca Sestini, et al. ∙

research

∙ 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. ∙

research

∙ 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...

10 Martin Wagner, et al. ∙

research

∙ 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. ∙

research

∙ 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...

11 Vinkle Srivastav, et al. ∙

research

∙ 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. ∙

research

∙ 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...

0 Luca Sestini, et al. ∙

research

∙ 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. ∙

research

∙ 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...

0 Tong Yu, et al. ∙

research

∙ 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. ∙

research

∙ 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...

0 Vinkle Srivastav, et al. ∙

research

∙ 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...

0 Vinkle Srivastav, et al. ∙

research

∙ 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. ∙

research

∙ 10/20/2019

CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions

Data-driven computational approaches have evolved to enable extraction o...

18 Tom Vercauteren, et al. ∙

research

∙ 02/13/2019

Self-Supervised Surgical Tool Segmentation using Kinematic Information

Surgical tool segmentation in endoscopic images is the first step toward...

0 Cristian da Costa Rocha, et al. ∙

research

∙ 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...

0 Chinedu Innocent Nwoye, et al. ∙

research

∙ 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 ...

0 Tong Yu, et al. ∙

research

∙ 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...

4 Thibaut Issenhuth, et al. ∙

research

∙ 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...

0 Siddharth Kannan, et al. ∙

research

∙ 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...

0 Vinkle Srivastav, et al. ∙

research

∙ 06/14/2018

Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos

Surgical tool localization is an essential task for the automatic analys...

0 Armine Vardazaryan, et al. ∙

research

∙ 06/08/2018

Surgical Data Science: A Consensus Perspective

Surgical data science is a scientific discipline with the objective of i...

0 Lena Maier-Hein, et al. ∙

research

∙ 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...

0 Gaurav Yengera, et al. ∙

research

∙ 04/27/2018

A generalizable approach for multi-view 3D human pose regression

Despite the significant improvement in the performance of monocular pose...

0 Abdolrahim Kadkhodamohammadi, et al. ∙

research

∙ 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...

0 Andru Putra Twinanda, et al. ∙

research

∙ 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...

0 Abdolrahim Kadkhodamohammadi, et al. ∙

research

∙ 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...

0 Andru P. Twinanda, et al. ∙

research

∙ 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 ...

0 Andru P. Twinanda, et al. ∙

research

∙ 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...

0 Abdolrahim Kadkhodamohammadi, et al. ∙

research

∙ 02/09/2016

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Surgical workflow recognition has numerous potential medical application...

0 Andru P. Twinanda, et al. ∙

Nicolas Padoy

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