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Joint Modeling of RNAseq and Radiomics Data for Glioma Molecular Characterization and Prediction, Zeina A. Shboul, Norou Diawara, Arastoo Vossough, James Y. Chen, Khan M. Iftekharuddin Electrical & Computer Engineering Faculty Publications
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Deep Neural Network Analysis of Pathology Images With Integrated Molecular Data for Enhanced Glioma Classification and Grading, Linmin Pei, Karra A. Jones, Zeina A. Shboul, James Y. Chen, Khan M. Iftekharuddin Electrical & Computer Engineering Faculty Publications
Model-Based Approach for Diffuse Glioma Classification, Grading, and Patient Survival Prediction, Zeina A. Shboul Electrical & Computer Engineering Theses & Dissertations
Efficacy of Radiomics and Genomics in Predicting TP53 Mutations in Diffuse Lower Grade Glioma, Zeina A. Shboul, Khan Iftekharuddin Electrical & Computer Engineering Faculty Publications
Prediction of Molecular Mutations in Diffuse Low-Grade Gliomas Using MR Imaging Features, Zeina A. Shboul, James Chen, Khan M. Iftekharrudin Electrical & Computer Engineering Faculty Publications
Feature-Guided Deep Radiomics for Glioblastoma Patient Survival Prediction, Zeina A. Shboul, Mahbubul Alam, Lasitha Vidyaratne, Linmin Pei, Mohamed I. Elbakary, Khan M. Iftekharuddin Electrical & Computer Engineering Faculty Publications
Glioma Grading Using Structural Magnetic Resonance Imaging and Molecular Data, Syed M.S. Reza, Manar D. Samad, Zeina A. Shboul, Karra A. Jones, Khan M. Iftekharuddin Electrical & Computer Engineering Faculty Publications
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