Quantitative analysis of structural variations in corpus callosum in adults with multiple system atrophy (MSA). - Debanjali Bhattacharya; Neelam Sinha; Jitender Saini (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

An improved approach of high graded glioma segmentation using sparse autoencoder and fuzzy c-means clustering from multi-modal MR images. - Debanjali Bhattacharya; Neelam Sinha (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Detection of Chromosomal Arms 1p/19q Codeletion in Low Graded Glioma using Probability Distribution of MRI Volume Heterogeneity. - Debanjali Bhattacharya; Neelam Sinha; Jitender Saini (TENCON, 2019)

Structural MRI based texture analysis of corpus callosum in patients with Progressive Supraneuclear Palsy. - Debanjali Bhattacharya; Sunil Kumar Vengalil; Neelam Sinha; Jitender Saini; Pramod Kumar Pal; M. Sandhya (TENCON, 2019)

Radial Cumulative Frequency Distribution: A New Imaging Signature to Detect Chromosomal Arms 1p/19q Co-deletion Status in Glioma. - Debanjali Bhattacharya; Neelam Sinha; Jitender Saini (CVIP (1), 2020)

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; Neelam Sinha (AIMLSystems, 2023)

Spatial Encoding of EEG Brain Wave Signals to Predict Student's Mental State During E-Learning. - Sai Krishna Kopparapu; Debanjali Bhattacharya; Neelam Sinha (MLSP, 2023)

Spatial Encoding of BOLD fMRI Time Series for Categorizing Static Images Across Visual Datasets: A Pilot Study on Human Vision. - Vamshi Krishna Kancharala; Debanjali Bhattacharya; Neelam Sinha (TENCON, 2023)

Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5. - Vamshi Krishna Kancharla; Debanjali Bhattacharya; Neelam Sinha; Jitender Saini; Pramod Kumar Pal; M. Sandhya (CoRR, 2023)

Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning. - Debanjali Bhattacharya; Neelam Sinha; Yashwanth Ramamurthi; Amit Chattopadhyay (CoRR, 2023)

Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment. - Ninad Aithal; Debanjali Bhattacharya; Neelam Sinha; Thomas Gregor Issac (ICPR (12), 2024)

Analyzing Brain Tumor Connectomics Using Graphs and Persistent Homology. - Debanjali Bhattacharya; Ninad Aithal; Manish Jayswal; Neelam Sinha (TGI3@MICCAI, 2024)

Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI. - Ammu R; Debanjali Bhattacharya; Ameiy Acharya; Ninad Aithal; Neelam Sinha (CoRR, 2024)

Towards understanding the nature of direct functional connectivity in visual brain network. - Debanjali Bhattacharya; Neelam Sinha (CoRR, 2024)

Non-linear Analysis Based ECG Classification of Cardiovascular Disorders. - Suraj Kumar Behera; Debanjali Bhattacharya; Ninad Aithal; Neelam Sinha (CoRR, 2024)

Persistent Homology for MCI Classification: A Comparative Analysis between Graph and Vietoris-Rips Filtrations. - Debanjali Bhattacharya; Rajneet Kaur; Ninad Aithal; Neelam Sinha; Thomas Gregor Issac (CoRR, 2024)