Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation. - Vien Ngoc Dang; Giuseppe Di Giacomo; Viola Marconetto; Prateek Mathur; Rosa Cortese; Marco Lorenzi; Ferran Prados; Maria A. Zuluaga (CoRR, 2021)

Fairness and bias correction in machine learning for depression prediction: results from four different study populations. - Vien Ngoc Dang; Anna Cascarano; Rosa H. Mulder; Charlotte Cecil; Maria A. Zuluaga; Jerónimo Hernández-González; Karim Lekadir (CoRR, 2022)

Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation. - Vien Ngoc Dang; Francesco Galati; Rosa Cortese; Giuseppe Di Giacomo; Viola Marconetto; Prateek Mathur; Karim Lekadir; Marco Lorenzi; Ferran Prados; Maria A. Zuluaga (Medical Image Anal., 2022)

Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer's Disease. - Vien Ngoc Dang; Adrià Casamitjana; Martijn P. A. Starmans; Carlos Martín-Isla; Jerónimo Hernández-González; Karim Lekadir; Alzheimer's Disease Neuroimaging Initiative (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Mitigating Overdiagnosis Bias in CNN-Based Alzheimer's Disease Diagnosis for the Elderly. - Vien Ngoc Dang; Adrià Casamitjana; Jerónimo Hernández-González; Karim Lekadir; Alzheimer's Disease Neuroimaging Initiative (FAIMI/EPIMI@MICCAI, 2024)

Understanding Early-Life Stress Impact on Mental-Physical Comorbidity Using Machine Learning. - Vien Ngoc Dang; Jerónimo Hernández-González; Karim Lekadir (SIPAIM, 2024)

A Structural Equation Model Linking Early-Life Stress to Adult Mental and Cardiovascular Disease. - Esmeralda Ruiz Pujadas; Anna Cascarano; Vien Ngoc Dang; Marina Camacho; Angélica Maria Atehortúa Labrador; Karim Lekadir (SIPAIM, 2024)

Empirical Comparison of Post-processing Debiasing Methods for Machine Learning Classifiers in Healthcare. - Vien Ngoc Dang; Víctor M. Campello; Jerónimo Hernández-González; Karim Lekadir (J. Heal. Informatics Res., 2025)