Regularized Spatial Filtering Method (R-SFM) for detection of Attention Deficit Hyperactivity Disorder (ADHD) from resting-state functional Magnetic Resonance Imaging (rs-fMRI). - Abhay M. S. Aradhya; Vigneshwaran Subbaraju; Suresh Sundaram 002; Narasimhan Sundararajan (EMBC, 2018)

Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI. - Abhay M. S. Aradhya; Aditya Joglekar; Suresh Sundaram 002; Mahardhika Pratama (AAAI, 2019)

Deep Network Optimization for rs-fMRI Classification. - Abhay M. S. Aradhya; Andri Ashfahani (ICDM Workshops, 2019)

Metaheuristic Spatial Transformation (MST) for accurate detection of Attention Deficit Hyperactivity Disorder (ADHD) using rs-fMRI. - Abhay M. S. Aradhya; Suresh Sundaram 002; Mahardhika Pratama (EMBC, 2020)

Discriminant Spatial Filtering Method (DSFM) for the identification and analysis of abnormal resting state brain activities. - Abhay M. S. Aradhya; Vigneshwaran Subbaraju; Suresh Sundaram 002; Narasimhan Sundararajan (Expert Syst. Appl., 2021)

Adaptive Latent Transformation (ALT) for classification of resting state - fMRI. - Abhay M. S. Aradhya; Gaurav Sharma; Mahardhika Pratama; Suresh Sundaram 002 (SSCI, 2022)

Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination. - Abhay M. S. Aradhya; Andri Ashfahani; Fienny Angelina; Mahardhika Pratama; Rodrigo Fernandes de Mello; Suresh Sundaram 002 (Inf. Sci., 2022)

Deep neural networks for spatio-temporal analysis of rs-fMRI in ADHD - Abhay M. S. Aradhya (2022)