ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1602.03012
  4. Cited By
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic
  Videos

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

9 February 2016
A. P. Twinanda
S. Shehata
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
ArXivPDFHTML

Papers citing "EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos"

26 / 276 papers shown
Title
Surgical Phase Recognition of Short Video Shots Based on Temporal
  Modeling of Deep Features
Surgical Phase Recognition of Short Video Shots Based on Temporal Modeling of Deep Features
Constantinos Loukas
10
14
0
20 Jul 2018
DeepPhase: Surgical Phase Recognition in CATARACTS Videos
DeepPhase: Surgical Phase Recognition in CATARACTS Videos
Odysseas Zisimopoulos
Evangello Flouty
Imanol Luengo
Petros Giataganas
J. Nehme
Andre Chow
Danail Stoyanov
11
115
0
17 Jul 2018
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
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
Armine Vardazaryan
Didier Mutter
J. Marescaux
N. Padoy
11
60
0
14 Jun 2018
Real-time Surgical Tools Recognition in Total Knee Arthroplasty Using
  Deep Neural Networks
Real-time Surgical Tools Recognition in Total Knee Arthroplasty Using Deep Neural Networks
Moazzem Hossain
Soichi Nishio
T. Hiranaka
Syoji Kobashi
17
5
0
06 Jun 2018
Surgical Activity Recognition in Robot-Assisted Radical Prostatectomy
  using Deep Learning
Surgical Activity Recognition in Robot-Assisted Radical Prostatectomy using Deep Learning
Aneeq Zia
A. Hung
Irfan Essa
A. Jarc
14
50
0
01 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
Multi-label Classification of Surgical Tools with Convolutional Neural
  Networks
Multi-label Classification of Surgical Tools with Convolutional Neural Networks
J. Prellberg
Oliver Kramer
20
8
0
15 May 2018
Deep learning and its application to medical image segmentation
Deep learning and its application to medical image segmentation
H. Roth
Chen Shen
H. Oda
M. Oda
Y. Hayashi
K. Misawa
K. Mori
MedIm
SSeg
48
114
0
23 Mar 2018
Tool Detection and Operative Skill Assessment in Surgical Videos Using
  Region-Based Convolutional Neural Networks
Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks
Amy Jin
Serena Yeung
J. Jopling
J. Krause
D. Azagury
A. Milstein
Li Fei-Fei
19
253
0
24 Feb 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
26
98
0
09 Feb 2018
Exploiting the potential of unlabeled endoscopic video data with
  self-supervised learning
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
T. Ross
David Zimmerer
A. Vemuri
Fabian Isensee
Manuel Wiesenfarth
...
H. Kenngott
Stefanie Speidel
Annette Kopp-Schneider
Klaus Maier-Hein
Lena Maier-Hein
MedIm
SSL
28
130
0
27 Nov 2017
Knowledge transfer for surgical activity prediction
Knowledge transfer for surgical activity prediction
O. Dergachyova
X. Morandi
Pierre Jannin
MedIm
22
9
0
15 Nov 2017
Analyzing Before Solving: Which Parameters Influence Low-Level Surgical
  Activity Recognition
Analyzing Before Solving: Which Parameters Influence Low-Level Surgical Activity Recognition
O. Dergachyova
X. Morandi
Pierre Jannin
14
0
0
15 Nov 2017
Monitoring tool usage in surgery videos using boosted convolutional and
  recurrent neural networks
Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks
Hassan Al Hajj
M. Lamard
Pierre-Henri Conze
B. Cochener
G. Quellec
28
3
0
04 Oct 2017
ToolNet: Holistically-Nested Real-Time Segmentation of Robotic Surgical
  Tools
ToolNet: Holistically-Nested Real-Time Segmentation of Robotic Surgical Tools
Luis C. García-Peraza-Herrera
Wenqi Li
Lucas Fidon
Caspar Gruijthuijsen
A. Devreker
...
Jan Deprest
E. V. Poorten
Danail Stoyanov
Tom Kamiel Magda Vercauteren
Sebastien Ourselin
11
128
0
25 Jun 2017
Learning-based Surgical Workflow Detection from Intra-Operative Signals
Learning-based Surgical Workflow Detection from Intra-Operative Signals
R. Stauder
Ergün Kayis
Nassir Navab
24
10
0
02 Jun 2017
Progress Estimation and Phase Detection for Sequential Processes
Progress Estimation and Phase Detection for Sequential Processes
Xinyu Li
Yanyi Zhang
Jianyu Zhang
Yueyang Chen
Shuhong Chen
Yue Gu
Moliang Zhou
Richard A. Farneth
I. Marsic
R. Burd
14
18
0
28 Feb 2017
Video and Accelerometer-Based Motion Analysis for Automated Surgical
  Skills Assessment
Video and Accelerometer-Based Motion Analysis for Automated Surgical Skills Assessment
Aneeq Zia
Yachna Sharma
Vinay Bettadapura
E. Sarin
Irfan Essa
20
109
0
24 Feb 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
295
10,618
0
19 Feb 2017
Unsupervised temporal context learning using convolutional neural
  networks for laparoscopic workflow analysis
Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis
S. Bodenstedt
M. Wagner
Darko Katic
P. Mietkowski
Benjamin F. B. Mayer
H. Kenngott
Beat Müller-Stich
Rüdiger Dillmann
Stefanie Speidel
22
37
0
13 Feb 2017
The TUM LapChole dataset for the M2CAI 2016 workflow challenge
The TUM LapChole dataset for the M2CAI 2016 workflow challenge
R. Stauder
D. Ostler
M. Kranzfelder
S. Koller
H. Feußner
Nassir Navab
11
62
0
28 Oct 2016
Tool and Phase recognition using contextual CNN features
Tool and Phase recognition using contextual CNN features
Manish Sahu
Anirban Mukhopadhyay
A. Szengel
S. Zachow
32
50
0
27 Oct 2016
Single- and Multi-Task Architectures for Tool Presence Detection
  Challenge at M2CAI 2016
Single- and Multi-Task Architectures for Tool Presence Detection Challenge at M2CAI 2016
A. P. Twinanda
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
23
23
0
27 Oct 2016
Single- and Multi-Task Architectures for Surgical Workflow Challenge at
  M2CAI 2016
Single- and Multi-Task Architectures for Surgical Workflow Challenge at M2CAI 2016
A. P. Twinanda
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
30
41
0
27 Oct 2016
Real-time analysis of cataract surgery videos using statistical models
Real-time analysis of cataract surgery videos using statistical models
K. Charrière
G. Quellec
M. Lamard
D. Martiano
G. Cazuguel
Gouenou Coatrieux
B. Cochener
23
41
0
18 Oct 2016
Previous
123456