1 citations · 1 across the 5 of their papers we have counts for
6 papers
CarveMix-RC: Addressing Rare-Class Imbalance Through Lesion-Aware Synthetic Augmentation for Brain Metastasis Segmentation
Md Shibly Sadique, Md Fayaz Bin Hossen, Michael L. Evans +4
Accurate segmentation of post-treatment brain metastases is essential for treatment planning, longitudinal disease monitoring, and quantitative assessment of therapeutic response.…
Machine learning-enhanced non-amnestic Alzheimer's disease diagnosis from MRI and clinical features
Megan A. Witherow, Michael L. Evans, Ahmed Temtam +2
Alzheimer's disease (AD), defined as an abnormal buildup of amyloid plaques and tau tangles in the brain can be diagnosed with high accuracy based on protein biomarkers via PET or…
Functional Brain Network Identification in Opioid Use Disorder Using Machine Learning Analysis of Resting-State fMRI BOLD Signals
Ahmed Temtam, Megan A. Witherow, Liangsuo Ma +3
Understanding the neurobiology of opioid use disorder (OUD) using resting-state functional magnetic resonance imaging (rs-fMRI) may help inform treatment strategies to improve pati…
Pilot Study to Discover Candidate Biomarkers for Autism based on Perception and Production of Facial Expressions
Megan A. Witherow, Norou Diawara, Janice Keener +2
Purpose: Facial expression production and perception in autism spectrum disorder (ASD) suggest potential presence of behavioral biomarkers that may stratify individuals on the spec…
Customizable Avatars with Dynamic Facial Action Coded Expressions (CADyFACE) for Improved User Engagement
Megan A. Witherow, Crystal Butler, Winston J. Shields +5
Customizable 3D avatar-based facial expression stimuli may improve user engagement in behavioral biomarker discovery and therapeutic intervention for autism, Alzheimer's disease, f…
Computational Modeling of Deep Multiresolution-Fractal Texture and Its Application to Abnormal Brain Tissue Segmentation
A. Temtam, L. Pei, K. Iftekharuddin
Computational modeling of Multiresolution- Fractional Brownian motion (fBm) has been effective in stochastic multiscale fractal texture feature extraction and machine learning of a…