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20232026
most citedNon-linear Analysis Based ECG Classification of Cardiovascular Disorders

2 citations · 2 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.CV2024

Persistent Homology for MCI Classification: A Comparative Analysis between Graph and Vietoris-Rips Filtrations

Debanjali Bhattacharya, Rajneet Kaur, Ninad Aithal +2

Mild cognitive impairment (MCI), often linked to early neurodegeneration, is characterized by subtle cognitive declines and disruptions in brain connectivity. The present study off…

cs.CV2024

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…

cs.LG2024

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…

cs.CV2024★ 2 cited

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…

q-bio.NC2024

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…

q-bio.NC2024

Towards understanding the nature of direct functional connectivity in visual brain network

Debanjali Bhattacharya, Neelam Sinha

Recent advances in neuroimaging have enabled studies in functional connectivity (FC) of human brain, alongside investigation of the neuronal basis of cognition. One important FC st…

cs.CV2024

Multi-scale fMRI time series analysis for understanding neurodegeneration in MCI

Ammu R., Debanjali Bhattacharya, Ameiy Acharya +2

In this study, we present a technique that spans multi-scale views (global scale -- meaning brain network-level and local scale -- examining each individual ROI that constitutes th…