2 citations · 5 across the 13 of their papers we have counts for
13 papers
Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment
Ninad Aithal, Debanjali Bhattacharya, Neelam Sinha +1
Mild cognitive impairment (MCI) is characterized by subtle changes in cognitive functions, often associated with disruptions in brain connectivity. The present study introduces a n…
Bayesian Network Modeling of Causal Influence within Cognitive Domains and Clinical Dementia Severity Ratings for Western and Indian Cohorts
Wupadrasta Santosh Kumar, Sayali Rajendra Bhutare, Neelam Sinha +1
This study investigates the causal relationships between Clinical Dementia Ratings (CDR) and its six domain scores across two distinct aging datasets: the Alzheimer's Disease Neuro…
Non-linear Analysis Based ECG Classification of Cardiovascular Disorders
Suraj Kumar Behera, Debanjali Bhattacharya, Ninad Aithal +1
Multi-channel ECG-based cardiac disorders detection has an impact on cardiac care and treatment. Limitations of existing methods included variation in ECG waveforms due to the loca…
Classification of Alzheimer's Dementia vs. Healthy subjects by studying structural disparities in fMRI Time-Series of DMN
Sneha Noble, Chakka Sai Pradeep, Neelam Sinha +1
Time series from different regions of interest (ROI) of default mode network (DMN) from Functional Magnetic Resonance Imaging (fMRI) can reveal significant differences between heal…
Analyzing Brain Tumor Connectomics using Graphs and Persistent Homology
Debanjali Bhattacharya, Ninad Aithal, Manish Jayswal +1
Recent advances in molecular and genetic research have identified a diverse range of brain tumor sub-types, shedding light on differences in their molecular mechanisms, heterogenei…
MRI Volume-Based Robust Brain Age Estimation Using Weight-Shared Spatial Attention in 3D CNNs
Vamshi Krishna Kancharla, Neelam Sinha
Important applications of advancements in machine learning, are in the area of healthcare, more so for neurological disorder detection. A crucial step towards understanding the neu…