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

2 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

DWI Connectome-based Sex Classification in Young using Supervised Variational Autoencoder

Aditya Kothapalli, Aaryan Gera, Sathvik Reddy +3

During adolescence, significant changes in brain development are influenced by hormonal changes that impact both the body and the brain. This study presents sex classification in 7…

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.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…

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…

cs.CV2023★ 1 cited

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…