1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Localizing and Assessing Node Significance in Default Mode Network using Sub-Community Detection in Mild Cognitive Impairment
Ameiy Acharya, Chakka Sai Pradeep, Neelam Sinha
Our study aims to utilize fMRI to identify the affected brain regions within the Default Mode Network (DMN) in subjects with Mild Cognitive Impairment (MCI), using a novel Node Sig…
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…
Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data
Chakka Sai Pradeep, Neelam Sinha
In this work, we report an autoencoder-based 2D representation to classify a time-series as stochastic or non-stochastic, to understand the underlying physical process. Content-awa…