Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach

no code implementations • 23 Aug 2023 • Neha Gianchandani, Mahsa Dibaji, Mariana Bento, Ethan MacDonald, Roberto Souza

Deep learning models have achieved state-of-the-art results in estimating brain age, which is an important brain health biomarker, from magnetic resonance (MR) images.

Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT

no code implementations • 4 Jul 2023 • Jianhai Zhang, Tonghua Wan, Ethan MacDonald, Bijoy Menon, Aravind Ganesh, Qiu Wu

In this paper, a novel Synchronous image-label Diffusion Probability Model (SDPM) is proposed for stroke lesion segmentation on NCCT using Markov diffusion process.

Image Segmentation Lesion Segmentation +2

A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems

1 code implementation • 4 Apr 2023 • Sepideh Bahadoripour, Ethan MacDonald, Hadis Karimipour

The growing number of cyber-attacks against Industrial Control Systems (ICS) in recent years has elevated security concerns due to the potential catastrophic impact.

Cyber Attack Detection