Automatic Segmentation of Large Blood Vasculature in DCE-MRI Data of Brain Tumor Using Different Clustering Algorithms

Characterization of atlas based volumetric changes in unilateral 6-OHDA-induced Parkinson’s rat model

fMRI & DTI to Study Neural Correlates in Controlled Brain Stimulation for Post Stroke Rehabilitation

An fMRI-based investigation for financial decision-making from Neurofinance perspective

Hemodynamic quantification for modelling functional outcome in stroke population using 4D Flow Imaging - a pilot study

High-variability synthetic fat-water MRI dataset for testing the robustness of Deep Learning-based reconstruction models

Hippocampal subfield and amygdala nuclei gray matter volume reduction in early-onset schizophrenia

Author:MUKESH KUMAR  S Senthil Kumaran  Pankaj Pankaj  Rajesh Sagar  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:MR in Psychiatry I  

Program Number:1719  

Room Session:Exhibition Hall (Hall 403)  

Institution:All India Institute of Medical Sciences  

Improved Fat-Water separation with Deep Learning-based ad-hoc MRI reconstruction incorporating spatial smoothing.

Post-Surgical Cavity Segmentation on MRI for Glioma Patients with Deep Learning and Transfer Learning Approach

Quantitative Analysis of DCE-MRI Data using DL model based on Signal Intensity vs Concentration Curves

Voxel-based morphometry for evaluating nigrostriatal damage in unilateral 6-OHDA-induced Parkinson’s rat model