Naina Misra

Biomedical engineering

Hometown: Bagdad, Arizona, United States

Graduation date: Spring 2025

Additional details: Honors student

Health icon, disabled. A red heart with a cardiac rhythm running through it.

FURI | Spring 2024

Geometric Deep Learning and Anatomical Landmarking for Improved Preclinical Alzheimer’s Disease Diagnosis

This study develops a preclinical Alzheimer’s disease screening method by applying geometric deep learning on hippocampal structures. Researchers will first extract the hippocampal structures from the MRI images and build volumetric meshes with existing tools. In the model, traditional graph convolution is enhanced by customized volumetric Laplace Beltrami Operators (LBOs). Moreover, the team will extract anatomical landmarks using hierarchical Bayesian networks, which are then integrated into model with a cross attention mechanism. As a result, model achieves higher classification accuracies among all diagnosis groups. Future work will focus on refining the model and expanding its applicability to additional disorders.

Mentor:

View the poster
QR code for the current page

It’s hip to be square.

Students presenting projects at the Fulton Forge Student Research Expo are encouraged to download this personal QR code and include it within your poster. This allows expo attendees to explore more about your project and about you in the future. 

Right click the image to save it to your computer.