203 citations · 212 across the 4 of their papers we have counts for
5 papers
FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity
Deepank Girish, Yi Hao Chan, Yubin Zheng +2
Functional Magnetic Resonance Imaging ( fMRI ) data are often pooled into collaborative multi-site consortia, as deep learning models for analyses require large datasets to general…
Foundation models for discovering robust biomarkers of neurological disorders from dynamic functional connectivity
Deepank Girish, Yi Hao Chan, Sukrit Gupta +2
Several brain foundation models (FM) have recently been proposed to predict brain disorders by modelling dynamic functional connectivity (FC). While they demonstrate remarkable mod…
Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review
Yi Hao Chan, Deepank Girish, Sukrit Gupta +5
Graph neural networks (GNN) have emerged as a popular tool for modelling functional magnetic resonance imaging (fMRI) datasets. Many recent studies have reported significant improv…
Deep ConvLSTM with self-attention for human activity decoding using wearables
Satya P. Singh, Aimé Lay-Ekuakille, Deepak Gangwar +2
Decoding human activity accurately from wearable sensors can aid in applications related to healthcare and context awareness. The present approaches in this domain use recurrent an…
3D Deep Learning on Medical Images: A Review
Satya P. Singh, Lipo Wang, Sukrit Gupta +3
The rapid advancements in machine learning, graphics processing technologies and the availability of medical imaging data have led to a rapid increase in the use of deep learning m…