Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to
Data Imbalance in Deep Learning Based Segmentation

Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation

23 June 2021

Esther Puyol-Antón

Stefan K. Piechnik

Papers citing "Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation"

11 / 11 papers shown

Title
On Biases in a UK Biobank-based Retinal Image Classification Model A. Alloula Rima Mustafa Daniel R. McGowan Bartlomiej W. Papie.z 45 1 0 30 Jul 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update Ziru Niu Hai Dong •. A. K. Qin 39 2 0 18 Mar 2024
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification Ruinan Jin Wenlong Deng Minghui Chen Xiaoxiao Li MedIm 45 1 0 10 Mar 2024
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models Thomas P. Zollo Todd Morrill Zhun Deng Jake C. Snell T. Pitassi Richard Zemel 43 8 0 22 Nov 2023
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction Yuning Du Yuyang Xue R. Dharmakumar Sotirios A. Tsaftaris 20 6 0 25 Sep 2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis Raghav Mehta Changjian Shui Tal Arbel 24 12 0 06 Mar 2023
A systematic study of race and sex bias in CNN-based cardiac MR segmentation Tiarna Lee Esther Puyol-Antón B. Ruijsink Miaojing Shi A. King 31 11 0 04 Sep 2022
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions Arezou Pakzad Kumar Abhishek Ghassan Hamarneh 30 17 0 29 Aug 2022
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning Siyi Du Ben Hers Nourhan Bayasi Ghassan Hamarneh Rafeef Garbi 27 22 0 22 Aug 2022
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation Huifeng Yao Xiaowei Hu Xuelong Li 22 92 0 21 Jan 2022
Distributionally Robust Deep Learning using Hardness Weighted Sampling Lucas Fidon Michael Aertsen Thomas Deprest Doaa Emam Frédéric Guffens ... Andrew Melbourne Sébastien Ourselin Jan Deprest Georg Langs Tom Kamiel Magda Vercauteren OOD 22 10 0 08 Jan 2020