Paul M. Thompson

3D Grid-Attention Networks for Interpretable Age and Alzheimer's Disease Prediction from Structural MRI

2020 · arXiv (Cornell University)

We propose an interpretable 3D Grid-Attention deep neural network that can accurately predict a person's age and whether they have Alzheimer's disease (AD) from a structural brain MRI scan. Building on a 3D convolutional neural …

Scaling Neuroscience Research Using Federated Learning

2021

The amount of biomedical data continues to grow rapidly. However, the ability to analyze these data is limited due to privacy and regulatory concerns. Machine learning approaches that require data to be copied to a …

CALM-VLM: CALIBRATION AND SELECTIVE PREDICTION IN VISION–LANGUAGE MODELS FOR RELIABLE BRAIN MRI CLASSIFICATION

2026 · bioRxiv (Cold Spring Harbor Laboratory)

A bstract Recent advances in vision-language models (VLMs) have demonstrated strong multimodal capabilities for medical image analysis. However, their confidence in diagnostic predictions is often unclear, limiting adoption in clinical settings. We introduce CALM-VLM ( …