Applications of generative adversarial networks in neuroimaging and clinical neuroscience. - Rongguang Wang; Vishnu Bashyam; Zhijian Yang; Fanyang Yu; Vasiliki Tassopoulou; Sai Spandana Chintapalli; Ioanna Skampardoni; Lasya P. Sreepada; Dushyant Sahoo; Konstantina S. Nikita; Ahmed Abdulkadir; Junhao Wen 002; et al. (NeuroImage, 2023)

Mutually-Constrained Cross-Sectional and Longitudinal Non-Negative Matrix Factorization: Application to Modeling Brain Aging Trajectories. - Ioanna Skampardoni; Junhao Wen 002; Güray Erus; Haochang Shou; Konstantina S. Nikita; Christos Davatzikos (ISBI, 2024)

Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning. - Junhao Wen 002; Mathilde Antoniades; Zhijian Yang; Gyujoon Hwang; Ioanna Skampardoni; Rongguang Wang; Christos Davatzikos (CoRR, 2024)

A comprehensive interpretable machine learning framework for Mild Cognitive Impairment and Alzheimer's disease diagnosis. - Maria Eleftheria Vlontzou; Maria Athanasiou; Kalliopi Dalakleidi; Ioanna Skampardoni; Christos Davatzikos; Konstantina S. Nikita (CoRR, 2024)