2 citations · 2 across the 5 of their papers we have counts for
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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…
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…
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…
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…
MCI Detection using fMRI time series embeddings of Recurrence plots
Ninad Aithal, Chakka Sai Pradeep, Neelam Sinha
The human brain can be conceptualized as a dynamical system. Utilizing resting state fMRI time series imaging, we can study the underlying dynamics at ear-marked Regions of Interes…