Developing and applying statistical and machine learning methodologies to big data analytics in neuroimaging and genetics.
Details of my publications, including peer-reviewed journals, conference papers, and abstracts, are listed on my Google Scholar and Research Gate
🌊 I am happy to serve the OHBM community as Hybridization Chair, OSSIG (2023-2025)!
🌊 Our review paper Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience is online now! Link
🌊 Our abstract Genetic correlates of four deep learning-derived MCI/AD imaging signatures in the general population has been selected as Merit Award Winner for OHBM 2022! Link
🌊 Our chapter Subtyping brain diseases from imaging data is now online - Preprint
🌊 Our paper Surreal-GAN:Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns has been accepted by ICLR 2022! - OpenReview