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2102.10663
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MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
21 February 2021
Yen Nhi Truong Vu
Richard Wang
N. Balachandar
Can Liu
A. Ng
Pranav Rajpurkar
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Papers citing
"MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation"
21 / 21 papers shown
Title
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis
Jiahao Lu
Chong Yin
Silvia Ingala
Kenny Erleben
M. Nielsen
S. Darkner
51
0
0
27 Apr 2025
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
Sheng Zhang
Yanbo Xu
Naoto Usuyama
Hanwen Xu
J. Bagga
...
Carlo Bifulco
M. Lungren
Tristan Naumann
Sheng Wang
Hoifung Poon
LM&MA
MedIm
154
205
0
10 Jan 2025
Robust image representations with counterfactual contrastive learning
Mélanie Roschewitz
Fabio De Sousa Ribeiro
Tian Xia
G. Khara
Ben Glocker
OOD
MedIm
49
2
0
16 Sep 2024
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Aroof Aimen
Arsh Verma
Makarand Tapaswi
N. C. Krishnan
35
0
0
08 Sep 2023
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems
Cara Van Uden
Jeremy Irvin
Mars Huang
N. Dean
J. Carr
A. Ng
C. Langlotz
OOD
24
1
0
13 May 2023
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis
Hong-Yu Zhou
Chi-Ken Lu
Chaoqi Chen
Sibei Yang
Yizhou Yu
42
52
0
02 Jan 2023
Significantly Improving Zero-Shot X-ray Pathology Classification via Fine-tuning Pre-trained Image-Text Encoders
Jongseong Jang
Daeun Kyung
Seunghyeon Kim
Honglak Lee
Kyunghoon Bae
E. Choi
LM&MA
MedIm
32
10
0
14 Dec 2022
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning
Yixiong Chen
Chunhui Zhang
C. Ding
Li Liu
31
14
0
08 Dec 2022
Can we Adopt Self-supervised Pretraining for Chest X-Rays?
Arsh Verma
Makarand Tapaswi
SSL
25
3
0
23 Nov 2022
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation
Yejia Zhang
Xinrong Hu
Nishchal Sapkota
Yiyu Shi
Da Chen
SSL
25
3
0
15 Nov 2022
Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata
Yingzhe Shen
Yaesop Lee
H. Kwon
D. Conover
Shuvra S. Bhattacharyya
Nikolas Vale
Joshua D. Gray
G. J. Leong
Kenneth D. Evensen
Frank E. Skirlo
25
9
0
31 Aug 2022
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound
Zeyu Fu
Jianbo Jiao
R. Yasrab
L. Drukker
A. Papageorghiou
J. A. Noble
18
15
0
22 Aug 2022
Metadata-enhanced contrastive learning from retinal optical coherence tomography images
R. Holland
Oliver Leingang
Hrvoje Bogunović
Sophie Riedl
L. Fritsche
...
U. Schmidt-Erfurth
S. Sivaprasad
A. Lotery
Daniel Rueckert
M. Menten
20
9
0
04 Aug 2022
SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata
Ajay Jaiswal
Tianhao Li
Cyprian Zander
Yan Han
Justin F. Rousseau
Yifan Peng
Ying Ding
36
14
0
27 Oct 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
37
175
0
17 Sep 2021
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis
Levy G. Chaves
Alceu Bissoto
Eduardo Valle
Sandra Avila
27
15
0
17 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
18
570
0
27 May 2021
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations
Bryan Gopal
Ryan Han
Gautham Raghupathi
A. Ng
G. Tison
Pranav Rajpurkar
MedIm
13
57
0
21 Apr 2021
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification
A. Perakis
A. Gorji
Samriddhi Jain
K. Chaitanya
Simone Rizza
E. Konukoglu
SSL
21
33
0
30 Mar 2021
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction
Anuroop Sriram
Matthew Muckley
Koustuv Sinha
Farah E. Shamout
Joelle Pineau
Krzysztof J. Geras
Lea Azour
Y. Aphinyanaphongs
N. Yakubova
W. Moore
MedIm
134
64
0
13 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
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