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Unsupervised temporal context learning using convolutional neural
  networks for laparoscopic workflow analysis

Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis

13 February 2017
S. Bodenstedt
M. Wagner
Darko Katic
P. Mietkowski
Benjamin F. B. Mayer
H. Kenngott
Beat Müller-Stich
Rüdiger Dillmann
Stefanie Speidel
ArXivPDFHTML

Papers citing "Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis"

9 / 9 papers shown
Title
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
23
42
0
01 Jul 2022
Surgical Workflow Recognition: from Analysis of Challenges to
  Architectural Study
Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study
Tobias Czempiel
Aidean Sharghi
Magdalini Paschali
Nassir Navab
Omid Mohareri
19
8
0
17 Mar 2022
Unsupervised Surgical Instrument Segmentation via Anchor Generation and
  Semantic Diffusion
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
Daochang Liu
Yuhui Wei
Tingting Jiang
Yizhou Wang
R. Miao
F. Shan
Ziyu Li
MedIm
32
26
0
27 Aug 2020
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and
  Progress Prediction
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction
Beatrice van Amsterdam
Matthew J. Clarkson
Danail Stoyanov
40
39
0
10 Mar 2020
Automated Surgical Activity Recognition with One Labeled Sequence
Automated Surgical Activity Recognition with One Labeled Sequence
R. DiPietro
Gregory Hager
29
18
0
20 Jul 2019
Multitask Learning of Temporal Connectionism in Convolutional Networks
  using a Joint Distribution Loss Function to Simultaneously Identify Tools and
  Phase in Surgical Videos
Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos
S. S. Mondal
R. Sathish
Debdoot Sheet
35
17
0
20 May 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
19
44
0
18 Jun 2018
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
Gaurav Yengera
Didier Mutter
J. Marescaux
N. Padoy
40
71
0
22 May 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
188
840
0
09 Feb 2016
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