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A comprehensive survey on recent deep learning-based methods applied to
  surgical data

A comprehensive survey on recent deep learning-based methods applied to surgical data

3 September 2022
Mansoor Ali
Rafael Martinez Garcia Peña
Gilberto Ochoa-Ruiz
Sharib Ali
ArXivPDFHTML

Papers citing "A comprehensive survey on recent deep learning-based methods applied to surgical data"

13 / 13 papers shown
Title
Feature-EndoGaussian: Feature Distilled Gaussian Splatting in Surgical Deformable Scene Reconstruction
Kai Li
Junhao Wang
William Jongwon Han
Ding Zhao
3DGS
60
0
0
08 Mar 2025
Domain Generalization for Endoscopic Image Segmentation by Disentangling
  Style-Content Information and SuperPixel Consistency
Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency
Mansoor Ali Teevno
Rafael Martinez-Garcia-Pena
Gilberto Ochoa-Ruiz
Sharib Ali
45
1
0
19 Sep 2024
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in
  Endoscopy
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy
Rafael Martinez Garcia Peña
Mansoor Ali Teevno
Gilberto Ochoa-Ruiz
Sharib Ali
36
3
0
09 Nov 2022
Real-time Instance Segmentation of Surgical Instruments using Attention
  and Multi-scale Feature Fusion
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion
Juan Carlos Angeles Ceron
Gilberto Ochoa-Ruiz
Leonardo Chang
Sharib Ali
29
36
0
09 Nov 2021
Efficient Global-Local Memory for Real-time Instrument Segmentation of
  Robotic Surgical Video
Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video
Jiacheng Wang
Yueming Jin
Liansheng Wang
Shuntian Cai
Pheng-Ann Heng
Jing Qin
51
17
0
28 Sep 2021
Simulation-to-Real domain adaptation with teacher-student learning for
  endoscopic instrument segmentation
Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation
Manish Sahu
Anirban Mukhopadhyay
S. Zachow
72
20
0
02 Mar 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
53
135
0
04 Jan 2021
Endo-Sim2Real: Consistency learning-based domain adaptation for
  instrument segmentation
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation
Manish Sahu
Ronja Strömsdörfer
Anirban Mukhopadhyay
S. Zachow
61
35
0
22 Jul 2020
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary
  Supervised Deep Adversarial Learning
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning
Mobarakol Islam
Daniel Anojan Atputharuban
Ravikiran Ramesh
Hongliang Ren
MedIm
88
94
0
22 Jul 2020
SuPer Deep: A Surgical Perception Framework for Robotic Tissue
  Manipulation using Deep Learning for Feature Extraction
SuPer Deep: A Surgical Perception Framework for Robotic Tissue Manipulation using Deep Learning for Feature Extraction
Jingpei Lu
Ambareesh Jayakumari
Florian Richter
Yang Li
Michael C. Yip
MedIm
49
62
0
07 Mar 2020
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
187
1,165
0
04 May 2018
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D
  Cameras
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
Raul Mur-Artal
Juan D. Tardós
204
5,375
0
20 Oct 2016
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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