Bias in Machine Learning Models Can Be Significantly Mitigated by
Careful Training: Evidence from Neuroimaging Studies

Bias in Machine Learning Models Can Be Significantly Mitigated by Careful Training: Evidence from Neuroimaging Studies

26 May 2022

Pratik Chaudhari

Christos Davatzikos

Papers citing "Bias in Machine Learning Models Can Be Significantly Mitigated by Careful Training: Evidence from Neuroimaging Studies"

10 / 10 papers shown

Title
More is Less? A Simulation-Based Approach to Dynamic Interactions between Biases in Multimodal Models Mounia Drissi 38 0 0 23 Dec 2024
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 70 0 0 10 Nov 2024
Augmenting team diversity and performance by enabling agency and fairness criteria in recommendation algorithms Diego Gomez-Zara Victoria Kam Charles Chiang Leslie DeChurch Noshir Contractor 23 0 0 01 Oct 2024
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation Kate Čevora Ben Glocker Wenjia Bai OOD 28 0 0 08 Aug 2024
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions Zainab Al-zanbouri Gauri Sharma Shaina Raza 43 0 0 27 Mar 2024
An Investigation Into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features Mohamed Huti Tiarna Lee Elinor Sawyer Andrew P. King 18 3 0 29 Sep 2023
Bias in Unsupervised Anomaly Detection in Brain MRI Cosmin I. Bercea Esther Puyol-Antón Benedikt Wiestler Daniel Rueckert J. Schnabel A. King OOD 13 3 0 26 Aug 2023
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience Rongguang Wang G. Erus Pratik Chaudhari Christos Davatzikos OOD 40 2 0 06 Aug 2023
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review Zikang Xu Jun Li Yongshuo Zong Han Li Qingsong Yao S. Kevin Zhou 49 14 0 27 Sep 2022
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 97 607 0 13 Mar 2020