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EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic
  Videos
v1v2 (latest)

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
ArXiv (abs)PDFHTML

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

20 / 320 papers shown
Title
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
159
108
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
Hyunjin Park
Manuel Wiesenfarth
...
H. Kenngott
Stefanie Speidel
Annette Kopp-Schneider
Klaus Maier-Hein
Lena Maier-Hein
MedImSSL
144
134
0
27 Nov 2017
Knowledge transfer for surgical activity prediction
Knowledge transfer for surgical activity prediction
O. Dergachyova
X. Morandi
Pierre Jannin
MedIm
55
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
37
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
112
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. Garcia-Peraza-Herrera
Wenqi Li
Lucas Fidon
Caspar Gruijthuijsen
A. Devreker
...
Jan Deprest
E. V. Poorten
Danail Stoyanov
Tom Vercauteren
Sebastien Ourselin
106
138
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
59
10
0
02 Jun 2017
Progress Estimation and Phase Detection for Sequential Processes
Progress Estimation and Phase Detection for Sequential ProcessesProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2017
Xinyu Li
Yanyi Zhang
Jianyu Zhang
Yueyang Chen
Shuhong Chen
Yue Gu
Moliang Zhou
Richard A. Farneth
I. Marsic
R. Burd
87
19
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 AssessmentInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2017
Aneeq Zia
Yachna Sharma
Vinay Bettadapura
E. Sarin
Irfan Essa
129
115
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
1.4K
11,721
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
108
39
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
85
70
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
96
52
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
80
24
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
109
44
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
Reda Bellafqira
B. Cochener
82
41
0
18 Oct 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision (IJCV), 2014
Olga Russakovsky
Gaowen Liu
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
2.4K
41,083
0
01 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature EmbeddingACM Multimedia (ACM MM), 2014
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
751
14,797
0
20 Jun 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
926
27,785
0
11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionInternational Conference on Machine Learning (ICML), 2013
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLMObjD
409
5,041
0
06 Oct 2013
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