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. 2306.11925
  4. Cited By
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"

50 / 74 papers shown
Title
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
Ziyu Zhou
Haozhe Luo
M. Taher
Jiaxuan Pang
Xiaowei Ding
Michael B. Gotway
Jianming Liang
MedIm
109
0
0
20 Jan 2025
EchoFM: Foundation Model for Generalizable Echocardiogram Analysis
EchoFM: Foundation Model for Generalizable Echocardiogram Analysis
Sekeun Kim
Pengfei Jin
S. Song
Cheng Chen
Yiwei Li
Hui Ren
Xiang Li
Tianming Liu
Quanzheng Li
76
0
0
30 Oct 2024
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models
Emmanuelle Bourigault
Abdullah Hamdi
Amir Jamaludin
MedIm
79
2
0
30 Apr 2024
Segment Anything Model for Medical Image Analysis: an Experimental Study
Segment Anything Model for Medical Image Analysis: an Experimental Study
Maciej A. Mazurowski
Haoyu Dong
Han Gu
Jichen Yang
Nicholas Konz
Yixin Zhang
MedIm
VLM
91
479
0
20 Apr 2023
Segment Anything
Segment Anything
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLM
VLM
329
7,278
0
05 Apr 2023
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
Dongliang Cao
Florian Bernard
3DPC
65
17
0
20 Mar 2023
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and
  Classification for Diabetic Retinopathy Grading
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading
Hasan Md Tusfiqur
D. M. Nguyen
M. T. N. Truong
T. A. Nguyen
Binh Duc Nguyen
...
H. Profitlich
Ngoc T. T. Than
Ngan Le
P. Xie
Daniel Sonntag
MedIm
52
8
0
30 Dec 2022
Joint Self-Supervised Image-Volume Representation Learning with
  Intra-Inter Contrastive Clustering
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering
D. M. Nguyen
Hoangvu Nguyen
M. T. N. Truong
T. Cao
Binh Duc Nguyen
Nhat Ho
Paul Swoboda
Shadi Albarqouni
P. Xie
Daniel Sonntag
SSL
51
21
0
04 Dec 2022
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching
Paul Roetzer
Zorah Lähner
Florian Bernard
54
8
0
21 Nov 2022
VICRegL: Self-Supervised Learning of Local Visual Features
VICRegL: Self-Supervised Learning of Local Visual Features
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
78
124
0
04 Oct 2022
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks
Junke Wang
Dongdong Chen
Zuxuan Wu
Chong Luo
Luowei Zhou
Yucheng Zhao
Yujia Xie
Ce Liu
Yu-Gang Jiang
Lu Yuan
MLLM
VLM
73
152
0
15 Sep 2022
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent
  Variable Models
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
Pasquale Minervini
Luca Franceschi
Mathias Niepert
71
11
0
11 Sep 2022
Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via
  Graph Matching
Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching
Yikai Bian
Le Hui
J. Qian
Jin Xie
3DPC
31
11
0
09 Aug 2022
A Comparative Study of Graph Matching Algorithms in Computer Vision
A Comparative Study of Graph Matching Algorithms in Computer Vision
Stefan Haller
Lorenz Feineis
Lisa Hutschenreiter
Florian Bernard
Carsten Rother
Dagmar Kainmüller
Paul Swoboda
Bogdan Savchynskyy
54
22
0
01 Jul 2022
On the duality between contrastive and non-contrastive self-supervised
  learning
On the duality between contrastive and non-contrastive self-supervised learning
Q. Garrido
Yubei Chen
Adrien Bardes
Laurent Najman
Yann LeCun
SSL
53
90
0
03 Jun 2022
Detection Recovery in Online Multi-Object Tracking with Sparse Graph
  Tracker
Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker
Jeongseok Hyun
Myunggu Kang
Dongyoon Wee
Dit-Yan Yeung
VOT
66
38
0
02 May 2022
GATE: Graph CCA for Temporal SElf-supervised Learning for
  Label-efficient fMRI Analysis
GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis
Liang Peng
Nan Wang
Jie Xu
Xiao-lan Zhu
Xiaoxiao Li
67
35
0
17 Mar 2022
InsCon:Instance Consistency Feature Representation via Self-Supervised
  Learning
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning
Jun-Teng Yang
Ke Zhang
Zhaolin Cui
Jinming Su
Junfeng Luo
Xiaolin K. Wei
ISeg
SSL
43
10
0
15 Mar 2022
Pushing the limits of self-supervised ResNets: Can we outperform
  supervised learning without labels on ImageNet?
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Nenad Tomašev
Ioana Bica
Brian McWilliams
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
131
82
0
13 Jan 2022
FLAVA: A Foundational Language And Vision Alignment Model
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh
Ronghang Hu
Vedanuj Goswami
Guillaume Couairon
Wojciech Galuba
Marcus Rohrbach
Douwe Kiela
CLIP
VLM
88
706
0
08 Dec 2021
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image
  Analysis
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang
Dong Yang
Wenqi Li
H. Roth
Bennett Landman
Daguang Xu
V. Nath
Ali Hatamizadeh
ViT
MedIm
100
533
0
29 Nov 2021
Compressive Visual Representations
Compressive Visual Representations
Kuang-Huei Lee
Anurag Arnab
S. Guadarrama
John F. Canny
Ian S. Fischer
SSL
94
48
0
27 Sep 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family
  Distributions
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Mathias Niepert
Pasquale Minervini
Luca Franceschi
59
85
0
03 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
665
6,066
0
29 Apr 2021
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges
  and methods
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
V. Bawa
Gurkirt Singh
Francis KapingA
I. Skarga-Bandurova
Elettra Oleari
...
Li Li
Armando Stabile
Francesco Setti
R. Muradore
Fabio Cuzzolin
52
41
0
07 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen
Saining Xie
Kaiming He
ViT
154
1,862
0
05 Apr 2021
Region Similarity Representation Learning
Region Similarity Representation Learning
Tete Xiao
Colorado Reed
Xiaolong Wang
Kurt Keutzer
Trevor Darrell
VLM
SSL
63
118
0
24 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViT
MedIm
170
1,606
0
18 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
300
2,344
0
04 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
900
29,372
0
26 Feb 2021
Transferable Visual Words: Exploiting the Semantics of Anatomical
  Patterns for Self-supervised Learning
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
F. Haghighi
M. Taher
Zongwei Zhou
Michael B. Gotway
Jianming Liang
MedIm
73
107
0
21 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
443
3,842
0
11 Feb 2021
TransUNet: Transformers Make Strong Encoders for Medical Image
  Segmentation
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen
Yongyi Lu
Qihang Yu
Xiangde Luo
Ehsan Adeli
Yan Wang
Le Lu
Alan Yuille
Yuyin Zhou
ViT
MedIm
98
3,473
0
08 Feb 2021
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs
  using a Novel Multi-scale Generative Adversarial Network
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network
Sharif Amit Kamran
Khondker Fariha Hossain
Alireza Tavakkoli
S. Zuckerbrod
K. Sanders
S. Baker
GAN
MedIm
64
75
0
03 Jan 2021
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised
  Visual Representation Learning
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
Zhenda Xie
Yutong Lin
Zheng Zhang
Yue Cao
Stephen Lin
Han Hu
SSL
99
413
0
19 Nov 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Xinlong Wang
Rufeng Zhang
Chunhua Shen
Tao Kong
Lei Li
SSL
74
684
0
18 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
632
41,003
0
22 Oct 2020
m2caiSeg: Semantic Segmentation of Laparoscopic Images using
  Convolutional Neural Networks
m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks
Salman Maqbool
Aqsa Riaz
Hasan Sajid
Osman Hasan
42
25
0
23 Aug 2020
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading,
  and Transferability
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability
Yi Zhou
Boyang Wang
Lei Huang
Shanshan Cui
Ling Shao
40
147
0
22 Aug 2020
A survey of loss functions for semantic segmentation
A survey of loss functions for semantic segmentation
Shruti Jadon
SSeg
62
839
0
26 Jun 2020
Online Deep Clustering for Unsupervised Representation Learning
Online Deep Clustering for Unsupervised Representation Learning
Xiaohang Zhan
Jiahao Xie
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
OOD
87
186
0
18 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
227
4,073
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
360
6,797
0
13 Jun 2020
ESAD: Endoscopic Surgeon Action Detection Dataset
ESAD: Endoscopic Surgeon Action Detection Dataset
V. Bawa
Gurkirt Singh
Francis KapingA
InnaSkarga-Bandurova
A. Leporini
...
Armando Stabile
Francesco Setti
R. Muradore
Elettra Oleari
Fabio Cuzzolin
101
15
0
12 Jun 2020
SDCT-AuxNet$^θ$: DCT Augmented Stain Deconvolutional CNN with
  Auxiliary Classifier for Cancer Diagnosis
SDCT-AuxNetθ^θθ: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis
S. Gehlot
Anubha Gupta
Ritu Gupta
MedIm
50
54
0
30 May 2020
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification
  and Segmentation
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Yu-Huan Wu
Shanghua Gao
Jie Mei
Jun Xu
Deng-Ping Fan
Chao Zhao
Ming-Ming Cheng
54
379
0
15 Apr 2020
Deep Graph Matching via Blackbox Differentiation of Combinatorial
  Solvers
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
Michal Rolínek
Paul Swoboda
Dominik Zietlow
Anselm Paulus
Vít Musil
Georg Martius
56
113
0
25 Mar 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for
  Detection of COVID-19 Cases from Chest X-Ray Images
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images
Linda Wang
A. Wong
OOD
104
2,502
0
22 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
467
3,427
0
09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
358
18,739
0
13 Feb 2020
12
Next