2 citations · 2 across the 12 of their papers we have counts for
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Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning
Debanjali Bhattacharya, Neelam Sinha, Yashwanth R. +1
This study proposes a new approach that investigates differences in topological characteristics of visual networks, which are constructed using fMRI BOLD time-series corresponding…
Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision
Naveen Kanigiri, Manohar Suggula, Debanjali Bhattacharya +1
Functional MRI (fMRI) is widely used to examine brain functionality by detecting alteration in oxygenated blood flow that arises with brain activity. This work aims to investigate…
Spatial encoding of BOLD fMRI time series for categorizing static images across visual datasets: A pilot study on human vision
Vamshi K. Kancharala, Debanjali Bhattacharya, Neelam Sinha
Functional MRI (fMRI) is widely used to examine brain functionality by detecting alteration in oxygenated blood flow that arises with brain activity. In this study, complexity spec…
Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5
Vamshi Krishna Kancharla, Debanjali Bhattacharya, Neelam Sinha +3
Structural MRI(S-MRI) is one of the most versatile imaging modality that revolutionized the anatomical study of brain in past decades. The corpus callosum (CC) is the principal whi…