Neural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization

no code implementations • 2 Apr 2024 • Yifan Wu, Mengjin Dong, Rohit Jena, Chen Qin, James C. Gee

Leveraging Neural Ordinary Differential Equations (ODE) for registration, this extension work discusses how this framework can aid in the characterization of sequential biological processes.

Image Registration

Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI

no code implementations • 10 Apr 2023 • Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin deFlores, David A. Wolk, Paul A. Yushkevich

Longitudinal assessment of brain atrophy, particularly in the hippocampus, is a well-studied biomarker for neurodegenerative diseases, such as Alzheimer's disease (AD).

Hippocampus Self-Supervised Learning

DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease

no code implementations • 24 Oct 2020 • Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin deFlores, David A. Wolk, Paul Yushkevich

However, longitudinal MRI change measures can be confounded by non-biological factors, such as different degrees of head motion and susceptibility artifact between pairs of MRI scans.

Hippocampus Image Registration