Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using
X-ray Chest Images

Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images

19 August 2020

Saul Calderon-Ramirez

Shengxiang-Yang

Armaghan Moemeni

David Elizondo

Simon Colreavy-Donnelly

Luis Fernando Chavarria-Estrada

Miguel A. Molina-Cabello

Papers citing "Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images"

11 / 11 papers shown

Title
Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images Isaac Benavides-Mata Saul Calderon-Ramirez 11 3 0 03 Nov 2022
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities Saul Calderon-Ramirez Shengxiang-Yang David Elizondo Armaghan Moemeni OOD 28 24 0 17 Aug 2021
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica Saul Calderon-Ramirez Diego Murillo-Hernandez Kevin Rojas-Salazar David Elizondo Shengxiang-Yang Miguel A. Molina-Cabello 12 14 0 24 Jul 2021
More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data Saul Calderon-Ramirez Luis Oala 25 5 0 20 Apr 2021
Semi-supervised Learning for COVID-19 Image Classification via ResNet Lucy Nwuso Xiangfang Li Lijun Qian Seungchan Kim Xishuang Dong 11 5 0 27 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang CLL 26 256 0 18 Feb 2021
Distant Domain Transfer Learning for Medical Imaging Shuteng Niu Meryl Liu Yongxin Liu Jian Wang H. Song OOD 45 69 0 10 Dec 2020
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images E. E. Hemdan M. Shouman Mohamed E. Karar 84 1,012 0 24 Mar 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks A. Narin Ceren Kaya Ziynet Pamuk 67 1,761 0 24 Mar 2020
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 193 1,019 0 26 Mar 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 246 1,275 0 06 Mar 2017