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COVID-19 Prognosis via Self-Supervised Representation Learning and
  Multi-Image Prediction

COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction

13 January 2021
Anuroop Sriram
Matthew Muckley
Koustuv Sinha
Farah E. Shamout
Joelle Pineau
Krzysztof J. Geras
Lea Azour
Y. Aphinyanaphongs
N. Yakubova
W. Moore
    MedIm
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Papers citing "COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction"

13 / 13 papers shown
Title
CheXLearner: Text-Guided Fine-Grained Representation Learning for Progression Detection
CheXLearner: Text-Guided Fine-Grained Representation Learning for Progression Detection
Y. Wang
Junwen Duan
Xinyu Li
Jianxin Wang
MedIm
31
0
0
11 May 2025
MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks
MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks
Anubhav Gupta
Islam I. Osman
Mohamed S. Shehata
John W. Braun
29
1
0
20 Jul 2024
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
E. Ahn
Da-wei Feng
Jinman Kim
MedIm
24
27
0
10 Feb 2023
Cross-Architectural Positive Pairs improve the effectiveness of
  Self-Supervised Learning
Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning
P. Singh
Jacopo Cirrone
SSL
40
0
0
27 Jan 2023
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain
  Specific Foundation Model
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model
Syed Muhammad Anwar
Abhijeet Parida
Sara Atito
Muhammad Awais
G. Nino
Josef Kitler
M. Linguraru
ViT
SSL
OOD
29
6
0
23 Nov 2022
Self-supervised Model Based on Masked Autoencoders Advance CT Scans
  Classification
Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classification
Jiashu Xu
S. Stirenko
36
2
0
11 Oct 2022
Improving Classification Model Performance on Chest X-Rays through Lung
  Segmentation
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation
Hilda Azimi
Jianxing Zhang
Pengcheng Xi
H. Asad
Ashkan Ebadi
Stéphane Tremblay
Alexander Wong
21
7
0
22 Feb 2022
SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease
  Classification and Localization in Chest X-rays using Patient Metadata
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
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
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
Contrastive Learning of Single-Cell Phenotypic Representations for
  Treatment Classification
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
MedAug: Contrastive learning leveraging patient metadata improves
  representations for chest X-ray interpretation
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
Yen Nhi Truong Vu
Richard Wang
N. Balachandar
Can Liu
A. Ng
Pranav Rajpurkar
13
81
0
21 Feb 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
1