Less is More: Surgical Phase Recognition with Less Annotations through
Self-Supervised Pre-training of CNN-LSTM Networks

Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks

22 May 2018

Papers citing "Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks"

13 / 13 papers shown

Title
Self-Supervised Learning for Data Scarcity in a Fatigue Damage Prognostic Problem A. Akrim C. Gogu R. Vingerhoeds M. Salaün AI4CE 13 23 0 20 Jan 2023
MURPHY: Relations Matter in Surgical Workflow Analysis Shang Zhao Yanzhe Liu Qiyuan Wang Dai Sun Rong Liu S.Kevin Zhou 19 4 0 24 Dec 2022
Adaptation of Surgical Activity Recognition Models Across Operating Rooms A. Mottaghi Aidean Sharghi Serena Yeung Omid Mohareri 16 8 0 07 Jul 2022
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision Sanat Ramesh V. Srivastav Deepak Alapatt Tong Yu Aditya Murali ... Saurav Sharma A. Fleurentin Georgios Exarchakis Alexandros Karargyris N. Padoy 18 42 0 01 Jul 2022
An Empirical Study on Activity Recognition in Long Surgical Videos Zhuohong He A. Mottaghi Aidean Sharghi Muhammad Abdullah Jamal Omid Mohareri 20 12 0 05 May 2022
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis Dominik Rivoir Isabel Funke Stefanie Speidel 19 15 0 15 Mar 2022
OperA: Attention-Regularized Transformers for Surgical Phase Recognition Tobias Czempiel Magdalini Paschali D. Ostler S. T. Kim Benjamin Busam Nassir Navab MedIm 34 85 0 05 Mar 2021
Gesture Recognition in Robotic Surgery: a Review Beatrice van Amsterdam Matthew J. Clarkson Danail Stoyanov 24 91 0 29 Jan 2021
Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery Aidean Sharghi Helene Haugerud Daniel Oh Omid Mohareri 16 43 0 29 Jun 2020
Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis Yueming Jin Huaxia Li Qi Dou Hao Chen J. Qin Chi-Wing Fu Pheng-Ann Heng 16 171 0 13 Jul 2019
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations A. P. Twinanda Gaurav Yengera Didier Mutter J. Marescaux N. Padoy MedIm 21 98 0 09 Feb 2018
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos A. P. Twinanda S. Shehata Didier Mutter J. Marescaux M. de Mathelin N. Padoy 168 839 0 09 Feb 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 224 7,902 0 13 Jun 2015