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. 2107.02317
  4. Cited By
Robotic Endoscope Control via Autonomous Instrument Tracking
v1v2v3 (latest)

Robotic Endoscope Control via Autonomous Instrument Tracking

5 July 2021
Caspar Gruijthuijsen
Luis C. Garcia-Peraza-Herrera
G. Borghesan
D. Reynaerts
Jan Deprest
Sebastien Ourselin
Tom Vercauteren
E. V. Poorten
ArXiv (abs)PDFHTML

Papers citing "Robotic Endoscope Control via Autonomous Instrument Tracking"

13 / 13 papers shown
Title
Image Compositing for Segmentation of Surgical Tools without Manual
  Annotations
Image Compositing for Segmentation of Surgical Tools without Manual Annotations
Luis C. Garcia-Peraza-Herrera
Lucas Fidon
Claudia DrEttorre
Danail Stoyanov
Tom Vercauteren
Sebastien Ourselin
40
40
0
18 Feb 2021
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
M. Allan
J. Mcleod
Congcong Wang
Jean-Claude Rosenthal
Zheng Hu
...
Dimitris Psychogyios
M. Azizian
Danail Stoyanov
Lena Maier-Hein
Stefanie Speidel
3DV
100
138
0
04 Jan 2021
Real-Time Segmentation of Non-Rigid Surgical Tools based on Deep
  Learning and Tracking
Real-Time Segmentation of Non-Rigid Surgical Tools based on Deep Learning and Tracking
Luis C. Garcia-Peraza-Herrera
Wenqi Li
Caspar Gruijthuijsen
A. Devreker
G. Attilakos
Jan Deprest
E. V. Poorten
Danail Stoyanov
Tom Vercauteren
Sébastien Ourselin
48
107
0
07 Sep 2020
ISINet: An Instance-Based Approach for Surgical Instrument Segmentation
ISINet: An Instance-Based Approach for Surgical Instrument Segmentation
Cristina González
Laura Bravo-Sánchez
Pablo Arbeláez
79
81
0
10 Jul 2020
Towards Unsupervised Learning for Instrument Segmentation in Robotic
  Surgery with Cycle-Consistent Adversarial Networks
Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks
D. Pakhomov
Wei Shen
Nassir Navab
MedImGAN
75
20
0
09 Jul 2020
Dense Depth Estimation in Monocular Endoscopy with Self-supervised
  Learning Methods
Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods
Xingtong Liu
Ayushi Sinha
M. Ishii
Gregory Hager
A. Reiter
Russell H. Taylor
Mathias Unberath
MDE
131
126
0
20 Feb 2019
2017 Robotic Instrument Segmentation Challenge
2017 Robotic Instrument Segmentation Challenge
M. Allan
Alexey A. Shvets
T. Kurmann
Zichen Zhang
Rahul Duggal
...
Jian Yang
Danail Stoyanov
Lena Maier-Hein
Stefanie Speidel
M. Azizian
89
230
0
18 Feb 2019
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
48
60
0
14 Jun 2018
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
71
130
0
25 Jun 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,441
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
467
43,347
0
11 Feb 2015
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
280
14,715
0
20 Jun 2014
Practical recommendations for gradient-based training of deep
  architectures
Practical recommendations for gradient-based training of deep architectures
Yoshua Bengio
3DHODL
195
2,201
0
24 Jun 2012
1