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LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical
  Imaging via Second-order Graph Matching

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

20 June 2023
D. M. Nguyen
Hoang Nguyen
Nghiem Tuong Diep
Tan Ngoc Pham
T. Cao
Binh Duc Nguyen
Paul Swoboda
Nhat Ho
Shadi Albarqouni
P. Xie
Daniel Sonntag
Mathias Niepert
    VLM
    MedIm
ArXivPDFHTML

Papers citing "LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching"

24 / 74 papers shown
Title
MS-Net: Multi-Site Network for Improving Prostate Segmentation with
  Heterogeneous MRI Data
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data
Quande Liu
Qi Dou
Lequan Yu
Pheng Ann Heng
OOD
118
281
0
09 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
196
12,073
0
13 Nov 2019
Self-supervised Feature Learning for 3D Medical Images by Playing a
  Rubik's Cube
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube
Xinrui Zhuang
Yuexiang Li
Yifan Hu
Kai Ma
Yujiu Yang
Yefeng Zheng
SSL
59
150
0
05 Oct 2019
Med3D: Transfer Learning for 3D Medical Image Analysis
Med3D: Transfer Learning for 3D Medical Image Analysis
Sihong Chen
Kai Ma
Yefeng Zheng
MedIm
56
460
0
01 Apr 2019
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
114
859
0
25 Feb 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
233
3,172
0
19 Feb 2019
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted
  by the International Skin Imaging Collaboration (ISIC)
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
Noel Codella
V. Rotemberg
P. Tschandl
M. E. Celebi
Stephen W. Dusza
...
Aadi Kalloo
Konstantinos Liopyris
Michael Marchetti
Harald Kittler
Allan Halpern
99
1,186
0
09 Feb 2019
The Liver Tumor Segmentation Benchmark (LiTS)
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic
P. Christ
Hongwei Bran Li
Eugene Vorontsov
Avi Ben-Cohen
...
L. Soler
Bram van Ginneken
H. Greenspan
Leo Joskowicz
Bjoern Menze
109
1,019
0
13 Jan 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor
  Segmentation, Progression Assessment, and Overall Survival Prediction in the
  BRATS Challenge
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas
M. Reyes
Andras Jakab
Stefan Bauer
Markus Rempfler
...
Jayashree Kalpathy-Cramer
Keyvan Farahani
Christos Davatzikos
Koen van Leemput
Bjoern Menze
133
1,633
0
05 Nov 2018
3D MRI brain tumor segmentation using autoencoder regularization
3D MRI brain tumor segmentation using autoencoder regularization
Andriy Myronenko
92
1,044
0
27 Oct 2018
Deep Clustering for Unsupervised Learning of Visual Features
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
SSL
88
1,894
0
15 Jul 2018
Kid-Net: Convolution Networks for Kidney Vessels Segmentation from
  CT-Volumes
Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes
Ahmed Taha
P. Lo
Junning Li
T. Zhao
SSeg
3DPC
68
56
0
18 Jun 2018
Rotation Equivariant CNNs for Digital Pathology
Rotation Equivariant CNNs for Digital Pathology
Bastiaan S. Veeling
J. Linmans
Jim Winkens
Taco S. Cohen
Max Welling
109
583
0
08 Jun 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
170
3,452
0
05 May 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and
  transfer learning in medical image analysis
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Veronika Cheplygina
Marleen de Bruijne
J. Pluim
69
748
0
17 Apr 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
159
5,042
0
11 Apr 2018
NiftyNet: a deep-learning platform for medical imaging
NiftyNet: a deep-learning platform for medical imaging
Eli Gibson
Wenqi Li
Carole Sudre
Lucas Fidon
D. I. Shakir
...
Marc Modat
D. Barratt
Sébastien Ourselin
M. Jorge Cardoso
Tom Vercauteren
76
549
0
11 Sep 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
229
8,015
0
22 May 2017
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph
  Matching
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching
Paul Swoboda
Carsten Rother
Hassan Abu Alhaija
Dagmar Kainmüller
Bogdan Savchynskyy
42
59
0
16 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
614
29,032
0
09 Sep 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
DeepOrgan: Multi-level Deep Convolutional Networks for Automated
  Pancreas Segmentation
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
H. Roth
Le Lu
A. Farag
Hoo-Chang Shin
Jiamin Liu
E. Turkbey
Ronald M. Summers
SSeg
MedIm
70
743
0
22 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
301
25,045
0
30 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
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