MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models

11 October 2020

Papers citing "MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models"

25 / 25 papers shown

Title
Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy Bashir Kazimi Karina Ruzaeva Stefan Sandfeld 37 4 0 28 Feb 2024
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels Dana Cohen Hochberg H. Greenspan Raja Giryes 24 11 0 26 Dec 2023
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis Ece Ozkan Xavier Boix OOD 20 0 0 10 Oct 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
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis Soumitri Chattopadhyay Soham Ganguly Sreejit Chaudhury Sayan Nag S. Chattopadhyay 28 1 0 03 Mar 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 17 1 0 21 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang E. Ahn Da-wei Feng Jinman Kim MedIm 21 27 0 10 Feb 2023
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images Hongwei Bran Li Chinmay Prabhakar Suprosanna Shit Johannes C. Paetzold Tamaz Amiranashvili Jianguo Zhang Daniel Rueckert Juan Eugenio Iglesias Benedikt Wiestler Bjoern H. Menze OOD SSL 25 2 0 03 Dec 2022
Can we Adopt Self-supervised Pretraining for Chest X-Rays? Arsh Verma Makarand Tapaswi SSL 17 3 0 23 Nov 2022
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images Yejia Zhang Nishchal Sapkota Pengfei Gu Yao Peng Hao Zheng Da Chen 31 5 0 16 Nov 2022
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound Zeyu Fu Jianbo Jiao R. Yasrab L. Drukker A. Papageorghiou J. A. Noble 12 15 0 22 Aug 2022
BYOLMed3D: Self-Supervised Representation Learning of Medical Videos using Gradient Accumulation Assisted 3D BYOL Framework Siladittya Manna Rakesh Dey Souvik Chakraborty SSL 11 0 0 31 Jul 2022
From Labels to Priors in Capsule Endoscopy: A Prior Guided Approach for Improving Generalization with Few Labels Anuja Vats A. Mohammed Marius Pedersen OOD 11 7 0 10 Jun 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning Weicheng Zhu C. Fernandez‐Granda N. Razavian SSL 16 4 0 23 Mar 2022
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer Moein Sorkhei Yue Liu Hossein Azizpour E. Azavedo Karin Dembrower Dimitra Ntoula Athanasios Zouzos Fredrik Strand Kevin Smith 9 8 0 02 Dec 2021
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities Tianbao Yang 14 3 0 01 Nov 2021
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 28 14 0 27 Oct 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 32 175 0 17 Sep 2021
Federated Contrastive Learning for Decentralized Unlabeled Medical Images Nanqing Dong Irina Voiculescu FedML 11 62 0 15 Sep 2021
How Transferable Are Self-supervised Features in Medical Image Classification Tasks? T. Truong Sadegh Mohammadi Matthias Lenga 32 45 0 23 Aug 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 18 569 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 11 57 0 21 Apr 2021
Self-supervised deep convolutional neural network for chest X-ray classification Matej Gazda J. Gazda J. Plávka P. Drotár SSL 17 54 0 04 Mar 2021
CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings Pranav Rajpurkar Anirudh Joshi Anuj Pareek A. Ng M. Lungren OOD 57 14 0 17 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 246 3,369 0 09 Mar 2020