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Applied Optics|April 2, 2010
Adaptive hierarchical architecture for visual recognitionFok H C Tivive, Abdesselam Bouzerdoum, Son Lam Phung, et al.
Frontiers in Medicine|September 7, 2021
Joint Modeling of RNAseq and Radiomics Data for Glioma Molecular Characterization and PredictionZeina A Shboul, Norou Diawara, Arastoo Vossough, et al.
Frontiers in Oncology|July 19, 2021
Deep Neural Network Analysis of Pathology Images With Integrated Molecular Data for Enhanced Glioma Classification and GradingLinmin Pei, Karra A Jones, Zeina A Shboul, et al.
Arxiv|February 6, 2026
Machine learning-enhanced non-amnestic Alzheimer's disease diagnosis from MRI and clinical featuresMegan A Witherow, Michael L Evans, Ahmed Temtam, et al.
Frontiers in Neuroscience|October 18, 2019
Feature-Guided Deep Radiomics for Glioblastoma Patient Survival PredictionZeina A Shboul, Mahbubul Alam, Lasitha Vidyaratne, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 26, 2021
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial InformationLasitha S Vidyaratne, Mahbubul Alam, Alexander M Glandon, et al.
Computers in Biology and Medicine|August 21, 2025
Functional brain network identification in opioid use disorder using machine learning analysis of resting-state fMRI BOLD signalsAhmed Temtam, Megan A Witherow, Liangsuo Ma, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|February 13, 2018
A Feasibility Study of Autism Behavioral Markers in Spontaneous Facial, Visual, and Hand Movement Response DataManar D Samad, Norou Diawara, Jonna L Bobzien, et al.
Frontiers in Artificial Intelligence|January 20, 2022
Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson LaboratoryLasitha Vidyaratne, Adam Carpenter, Tom Powers, et al.
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