4 citations · 4 across the 9 of their papers we have counts for
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The Useful Side of Motion: Using Head Motion Parameters to Correct for Respiratory Confounds in BOLD fMRI
Abdoljalil Addeh, G. Bruce Pike, M. Ethan MacDonald
Acquiring accurate external respiratory data during functional Magnetic Resonance Imaging (fMRI) is challenging, prompting the exploration of machine learning methods to estimate r…
AI Learning Algorithms: Deep Learning, Hybrid Models, and Large-Scale Model Integration
Noorbakhsh Amiri Golilarz, Elias Hossain, Abdoljalil Addeh +1
In this paper, we discuss learning algorithms and their importance in different types of applications which includes training to identify important patterns and features in a strai…
Three-Dimensional Amyloid-Beta PET Synthesis from Structural MRI with Conditional Generative Adversarial Networks
Fernando Vega, Abdoljalil Addeh, M. Ethan MacDonald
Motivation: Alzheimer's Disease hallmarks include amyloid-beta deposits and brain atrophy, detectable via PET and MRI scans, respectively. PET is expensive, invasive and exposes pa…
Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters
Abdoljalil Addeh, Fernando Vega, Rebecca J. Williams +2
Motivation: In many fMRI studies, respiratory signals are often missing or of poor quality. Therefore, it could be highly beneficial to have a tool to extract respiratory variation…