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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
Gaurav Yengera
Didier Mutter
J. Marescaux
N. Padoy
ArXivPDFHTML

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

16 / 16 papers shown
Title
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures
Kun Yuan
V. Srivastav
Tong Yu
Joël L. Lavanchy
Pietro Mascagni
Pietro Mascagni
N. Padoy
Nicolas Padoy
22
20
0
27 Jul 2023
Self-Supervised Learning for Data Scarcity in a Fatigue Damage
  Prognostic Problem
Self-Supervised Learning for Data Scarcity in a Fatigue Damage Prognostic Problem
A. Akrim
C. Gogu
R. Vingerhoeds
M. Salaün
AI4CE
15
23
0
20 Jan 2023
MURPHY: Relations Matter in Surgical Workflow Analysis
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
Adaptation of Surgical Activity Recognition Models Across Operating Rooms
A. Mottaghi
Aidean Sharghi
Serena Yeung
Omid Mohareri
22
8
0
07 Jul 2022
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
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
An Empirical Study on Activity Recognition in Long Surgical Videos
Zhuohong He
A. Mottaghi
Aidean Sharghi
Muhammad Abdullah Jamal
Omid Mohareri
22
12
0
05 May 2022
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A
  Study on Surgical Workflow Analysis
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
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
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
Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery
Aidean Sharghi
Helene Haugerud
Daniel Oh
Omid Mohareri
21
43
0
29 Jun 2020
Automated Surgical Activity Recognition with One Labeled Sequence
Automated Surgical Activity Recognition with One Labeled Sequence
R. DiPietro
Gregory Hager
8
18
0
20 Jul 2019
Multi-Task Recurrent Convolutional Network with Correlation Loss for
  Surgical Video Analysis
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
172
0
13 Jul 2019
Temporal coherence-based self-supervised learning for laparoscopic
  workflow analysis
Temporal coherence-based self-supervised learning for laparoscopic workflow analysis
Isabel Funke
Alexander C. Jenke
S. T. Mees
Jürgen Weitz
Stefanie Speidel
S. Bodenstedt
6
44
0
18 Jun 2018
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic
  Videos Without Manual Annotations
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
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
A. P. Twinanda
S. Shehata
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
170
840
0
09 Feb 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
227
7,903
0
13 Jun 2015
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