This research project aims to develop a comprehensive framework for treatment of stroke of upper extremity by combining computational modeling, movement behavior and gaming.
Deep Learning in Nephropathology
The project focus on developing tools that help in the identification and characterization of glomeruli in health and disease. This work will involve segmentation and classification of glomeruli and feature extraction to quantify structural changes in glomeruli.
Medical Visual Question Answering system
This project aims to develop a VQA system for medical domain combining Natural Language Processing and Computer Vision to address some of these issues in the context of pathological images and radiological image.
This research project aims to study the structural, biological, neuropsychological and social effects of Meditation on Early Dementia and MCI Patients and in Dementia Caregivers.
Developing Deep Learning Models for Various Cancer Prediction Tasks
This research project aims to develop deep learning computational models for various cancer prediction tasks, subtyping, staging/grading and prognostic prediction using images and genomics data.
Deep Learning for Automated Detection of Neuropsychiatric Disorders
This research project aims at using resting state functional magnetic resonance images (rsfMRI) for classifying typically developing children from children with developmental disorders such as the autism spectrum disorder (ASD) and attention deficit and hyperactivity disorder (ADHD).
Characterization (Prediction) of Healthy Ageing from Neuroimaging Data
In this project we aim at attempting the deep learning techniques for age classification (young, middle and old ages) using resting state functional MRI (rsfMRI) data.