Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors

22 August 2022

Papers citing "Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors"

4 / 4 papers shown

Title
A Generative Framework for Bidirectional Image-Report Understanding in Chest Radiography Nicholas Evans Stephen Baker Miles Reed LM&MA MedIm 70 0 0 09 Feb 2025
Mask of truth: model sensitivity to unexpected regions of medical images Théo Sourget Michelle Hestbek-Møller Amelia Jiménez-Sánchez Jack Junchi Xu Veronika Cheplygina AAML 95 0 0 05 Dec 2024
The Ability of Image-Language Explainable Models to Resemble Domain Expertise P. Werner Anna Zapaishchykova Ujjwal Ratan 51 2 0 19 Sep 2022
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning Hayden Gunraj A. Sabri D. Koff A. Wong 78 98 0 19 Jan 2021