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  4. Cited By
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI
  Classification

Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification

16 June 2021
Benoit Dufumier
Pietro Gori
J. Victor
Antoine Grigis
M. Wessa
P. Brambilla
P. Favre
M. Polosan
C. Mcdonald
C. Piguet
Edouard Duchesnay
    SSL
ArXiv (abs)PDFHTML

Papers citing "Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification"

39 / 39 papers shown
Title
REASON: Probability map-guided dual-branch fusion framework for gastric content assessment
REASON: Probability map-guided dual-branch fusion framework for gastric content assessment
Nu-Fnag Xiao
De-Xing Huang
Le-Tian Wang
Mei-Jiang Gui
Qi Fu
...
Shi-Qi Liu
Shuangyi Wang
Zeng-Guang Hou
Ying-Wei Wang
Xiao-Hu Zhou
65
0
0
03 Nov 2025
DiSSECT: Structuring Transfer-Ready Medical Image Representations through Discrete Self-Supervision
DiSSECT: Structuring Transfer-Ready Medical Image Representations through Discrete Self-Supervision
Azad Singh
Deepak Mishra
61
0
0
23 Sep 2025
Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses
Emily Kaczmarek
Justin Szeto
Brennan Nichyporuk
Tal Arbel
MedIm
64
0
0
12 Sep 2025
Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease
Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease
Ahmed Sharshar
Yasser Ashraf
Tameem Bakr
Salma Hassan
Hosam Elgendy
Mohammad Yaqub
Mohsen Guizani
70
0
0
28 Jul 2025
PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning
PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation LearningInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Yeonkyung Lee
Woojung Han
Youngjun Jun
Hyeonmin Kim
Jungkyung Cho
Seong Jae Hwang
MedIm
162
0
0
18 May 2025
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair LossComputer Vision and Pattern Recognition (CVPR), 2025
D. Pitawela
Gustavo Carneiro
Hsiang-Ting Chen
212
5
0
22 Apr 2025
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
Siteng Ma
Honghui Du
Yu An
Jing Wang
Qinqin Wang
Haochang Wu
Aonghus Lawlor
Ruihai Dong
283
0
0
15 Apr 2025
Tumor Location-weighted MRI-Report Contrastive Learning: A Framework for
  Improving the Explainability of Pediatric Brain Tumor Diagnosis
Tumor Location-weighted MRI-Report Contrastive Learning: A Framework for Improving the Explainability of Pediatric Brain Tumor Diagnosis
Sara Ketabi
Matthias W. Wagner
C. Hawkins
U. Tabori
B. Ertl-Wagner
Farzad Khalvati
158
3
0
01 Nov 2024
Robust image representations with counterfactual contrastive learning
Robust image representations with counterfactual contrastive learning
Mélanie Roschewitz
Fabio De Sousa Ribeiro
Tian Xia
G. Khara
Ben Glocker
OODMedIm
357
3
0
16 Sep 2024
Scalable, reproducible, and cost-effective processing of large-scale
  medical imaging datasets
Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets
Michael E. Kim
Karthik Ramadass
Chenyu Gao
Praitayini Kanakaraj
N. Newlin
...
Timothy J. Hohman
Zhiyuan Li
Shunxing Bao
Bennett A. Landman
N. Khairi
90
8
0
26 Aug 2024
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohortsMachine Learning for Biomedical Imaging (MLBI), 2024
Lisa Hemforth
B. Couvy-Duchesne
Kevin de Matos
Camille Brianceau
Matthieu Joulot
...
V. Frouin
Alexandre Martin
IMAGEN study group
C. Cury
O. Colliot
184
1
0
05 Aug 2024
Model Inversion Robustness: Can Transfer Learning Help?
Model Inversion Robustness: Can Transfer Learning Help?Computer Vision and Pattern Recognition (CVPR), 2024
Sy-Tuyen Ho
Koh Jun Hao
Keshigeyan Chandrasegaran
Ngoc-Bao Nguyen
Ngai-Man Cheung
149
13
0
09 May 2024
Separating common from salient patterns with Contrastive Representation
  Learning
Separating common from salient patterns with Contrastive Representation Learning
Robin Louiset
Edouard Duchesnay
Antoine Grigis
Pietro Gori
SSLDRL
216
2
0
19 Feb 2024
Optimizing contrastive learning for cortical folding pattern detection
Optimizing contrastive learning for cortical folding pattern detection
Aymeric Gaudin
Louise Guillon
Clara Fischer
Arnaud Cachia
D. Rivière
J. F. Mangin
J. Chavas
135
3
0
31 Jan 2024
Label-Only Model Inversion Attacks via Knowledge Transfer
Label-Only Model Inversion Attacks via Knowledge TransferNeural Information Processing Systems (NeurIPS), 2023
Ngoc-Bao Nguyen
Keshigeyan Chandrasegaran
Milad Abdollahzadeh
Ngai-Man Cheung
135
34
0
30 Oct 2023
Video and Synthetic MRI Pre-training of 3D Vision Architectures for
  Neuroimage Analysis
Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis
Nikhil J. Dhinagar
Amit Singh
Saket Ozarkar
Ketaki Buwa
Sophia I Thomopoulos
...
Corey McMillan
Chih-Chien Tsai
Jiun-Jie Wang
Yih-Ru Wu
Paul M. Thompson
MedIm
148
3
0
09 Sep 2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic
  Tasks with Radiological Images
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images
Blake Vanberlo
Jesse Hoey
Alexander Wong
SSLLM&MA
182
3
0
05 Sep 2023
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing
  Continuous Conditional Generative Adversarial Networks
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial NetworksAAAI Conference on Artificial Intelligence (AAAI), 2023
Xin Ding
Yongwei Wang
Zuheng Xu
197
2
0
20 Aug 2023
Decoupled conditional contrastive learning with variable metadata for
  prostate lesion detection
Decoupled conditional contrastive learning with variable metadata for prostate lesion detection
Camille Ruppli
Pietro Gori
R. Ardon
Isabelle Bloch
MedIm
141
1
0
18 Aug 2023
Self-Supervised Pre-Training with Contrastive and Masked Autoencoder
  Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging
Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical ImagingScientific Reports (Sci Rep), 2023
Daniel Wolf
Tristan Payer
C. Lisson
C. Lisson
Meinrad Beer
Michael Götz
Timo Ropinski
244
31
0
12 Aug 2023
Weakly-supervised positional contrastive learning: application to
  cirrhosis classification
Weakly-supervised positional contrastive learning: application to cirrhosis classificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Emma Sarfati
Alexandre Bône
Marc-Michel Rohé
Pietro Gori
Isabelle Bloch
162
2
0
10 Jul 2023
Curriculum Based Multi-Task Learning for Parkinson's Disease Detection
Curriculum Based Multi-Task Learning for Parkinson's Disease DetectionIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Nikhil J. Dhinagar
Conor Owens-Walton
Emily Laltoo
C. Boyle
Yao-Liang Chen
...
Chih-Chien Tsai
Jiun-Jie Wang
Yih-Ru Wu
Y. D. Werf
Paul M. Thompson
85
3
0
27 Feb 2023
Learning to diagnose cirrhosis from radiological and histological labels
  with joint self and weakly-supervised pretraining strategies
Learning to diagnose cirrhosis from radiological and histological labels with joint self and weakly-supervised pretraining strategiesIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Emma Sarfati
Alexandre Bône
Marc-Michel Rohé
Pietro Gori
Isabelle Bloch
SSL
99
5
0
16 Feb 2023
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised
  Medical Image Representations
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image RepresentationsInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023
Chinmay Prabhakar
Hongwei Bran Li
Jiancheng Yang
Suprosana Shit
Benedikt Wiestler
Bjoern Menze
ViTMedIm
117
16
0
18 Jan 2023
Edema Estimation From Facial Images Taken Before and After Dialysis via
  Contrastive Multi-Patient Pre-Training
Edema Estimation From Facial Images Taken Before and After Dialysis via Contrastive Multi-Patient Pre-TrainingIEEE journal of biomedical and health informatics (IEEE JBHI), 2022
Yusuke Akamatsu
Yoshifumi Onishi
Hitoshi Imaoka
Junko Kameyama
Hideo Tsurushima
3DHMedIm
102
3
0
15 Dec 2022
A Domain-specific Perceptual Metric via Contrastive Self-supervised
  Representation: Applications on Natural and Medical Images
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images
Hongwei Bran Li
Chinmay Prabhakar
Antonio Terpin
Johannes C. Paetzold
Tamaz Amiranashvili
Jianguo Zhang
Daniel Rueckert
Juan Eugenio Iglesias
Benedikt Wiestler
Bjoern Menze
OODSSL
188
3
0
03 Dec 2022
Contrastive learning for regression in multi-site brain age prediction
Contrastive learning for regression in multi-site brain age predictionIEEE International Symposium on Biomedical Imaging (ISBI), 2022
C. Barbano
Benoit Dufumier
Edouard Duchesnay
Marco Grangetto
Pietro Gori
146
17
0
14 Nov 2022
Learning shape distributions from large databases of healthy organs:
  applications to zero-shot and few-shot abnormal pancreas detection
Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detectionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Rebeca Vétil
Clément Abi-Nader
Alexandre Bône
M. Vullierme
Marc-Michel Rohé
Pietro Gori
Isabelle Bloch
87
2
0
21 Oct 2022
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase
  Organ Segmentation
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation
Ho Hin Lee
Yucheng Tang
Han Liu
Yubo Fan
L. Cai
Qi Yang
Xin Yu
Shunxing Bao
Yuankai Huo
Bennett A. Landman
165
1
0
16 Oct 2022
TractoSCR: A Novel Supervised Contrastive Regression Framework for
  Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion
  MRI Tractography
TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI TractographyFrontiers in Neuroscience (Front. Neurosci.), 2022
Tengfei Xue
Fan Zhang
L. Zekelman
Chaoyi Zhang
Yuqian Chen
...
W. Wells
Yogesh Rathi
N. Makris
Weidong Cai
L. O’Donnell
141
10
0
13 Oct 2022
Rank-N-Contrast: Learning Continuous Representations for Regression
Rank-N-Contrast: Learning Continuous Representations for RegressionNeural Information Processing Systems (NeurIPS), 2022
Kaiwen Zha
Peng Cao
Jeany Son
Yuzhe Yang
Dina Katabi
CML
277
82
0
03 Oct 2022
Optimizing transformations for contrastive learning in a differentiable
  framework
Optimizing transformations for contrastive learning in a differentiable framework
Camille Ruppli
Pietro Gori
R. Ardon
Isabelle Bloch
MedIm
123
2
0
27 Jul 2022
Brain-Aware Replacements for Supervised Contrastive Learning in
  Detection of Alzheimer's Disease
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's DiseaseInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Mehmet Saygin Seyfiouglu
Zixuan Liu
Pranav Kamath
Sadjyot Gangolli
Sheng Wang
T. Grabowski
Linda G. Shapiro
MedIm
223
16
0
11 Jul 2022
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Sanat Ramesh
V. Srivastav
Deepak Alapatt
Tong Yu
Aditya Murali
...
Saurav Sharma
A. Fleurentin
Georgios Exarchakis
Alexandros Karargyris
N. Padoy
431
65
0
01 Jul 2022
Integrating Prior Knowledge in Contrastive Learning with Kernel
Integrating Prior Knowledge in Contrastive Learning with KernelInternational Conference on Machine Learning (ICML), 2022
Benoit Dufumier
C. Barbano
Robin Louiset
Edouard Duchesnay
Pietro Gori
SSL
116
11
0
03 Jun 2022
Contrastive Graph Learning for Population-based fMRI Classification
Contrastive Graph Learning for Population-based fMRI ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Xuesong Wang
Lina Yao
I. Rekik
Yu Zhang
169
10
0
26 Mar 2022
Conditional Alignment and Uniformity for Contrastive Learning with
  Continuous Proxy Labels
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Benoit Dufumier
Pietro Gori
J. Victor
Antoine Grigis
Edouard Duchesnay
MedIm
104
8
0
10 Nov 2021
Semi-weakly Supervised Contrastive Representation Learning for Retinal
  Fundus Images
Semi-weakly Supervised Contrastive Representation Learning for Retinal Fundus Images
Boon Peng Yap
B. Ng
SSL
125
5
0
04 Aug 2021
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
OCLSSL
1.1K
4,602
0
17 Jun 2020
1