1 citations · 1 across the 5 of their papers we have counts for
5 papers
Understanding Brain Aging Across Populations: A Comprehensive Framework for Structural Analysis
Alphin J Thottupattu, Jayanthi Sivaswamy, Bharath Holla +1
Understanding distinct neurological aging patterns across various populations is vital in the context of a globally aging populace. This study seeks to unravel the structural varia…
A metric to compare the anatomy variation between image time series
Alphin J Thottupattu, Jayanthi Sivaswamy
Biological processes like growth, aging, and disease progression are generally studied with follow-up scans taken at different time points, i.e., with image time series (TS) based…
Sub-cortical structure segmentation database for young population
Jayanthi Sivaswamy, Alphin J Thottupattu, Mythri V +3
Segmentation of sub-cortical structures from MRI scans is of interest in many neurological diagnosis. Since this is a laborious task machine learning and specifically deep learning…
A Diffeomorphic Aging Model for Adult Human Brain from Cross-Sectional Data
Alphin J Thottupattu, Jayanthi Sivaswamy, Venkateswaran P. Krishnan
Normative aging trends of the brain can serve as an important reference in the assessment of neurological structural disorders. Such models are typically developed from longitudina…
A method for large diffeomorphic registration via broken geodesics
Alphin J. Thottupattu, Jayanthi Sivaswamy, Venkateswaran P. Krishnan
Anatomical variabilities seen in longitudinal data or inter-subject data is usually described by the underlying deformation, captured by non-rigid registration of these images. Sta…