[Method Development] Characterization and diagnosis of Autism Spectrum

Machine Learning methods for diagnosing Autism Spectrum Disorder and Attention-deficit/Hyperactivity Disorder using functional and structural MRI: A Survey

Explainable and scalable machine learning algorithms for detection of autism spectrum disorder using fMRI data

DeepCOVIDNet: Deep Convolutional Neural Network for COVID-19 Detection from Chest Radiographic Images

ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data

High Performance and Machine Learning Algorithms for Brain fMRI Data

GPU-DFC: A GPU-based parallel algorithm for computing dynamic-functional connectivity of big fMRI data

Auto-ASD-Network: A technique based on Deep Learning and Support Vector Machines for diagnosing Autism Spectrum Disorder using fMRI data

ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data

Similarity based classification of ADHD using Singular Value Decomposition

GPU-DAEMON: GPU algorithm design, data management & optimization template for array based big omics data

Fast-GPU-PCC: A GPU-Based Technique to Compute Pairwise Pearson’s Correlation Coefficients for Time Series Data - An fMRI Study

GPU-PCC: A GPU Based Technique to Compute Pairwise Pearson's Correlation Coefficients for Big fMRI Data