Part of the Engineering Commons

Works by Zeina A. Shboul in Engineering

2021

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

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2020

Model-Based Approach for Diffuse Glioma Classification, Grading, and Patient Survival Prediction, Zeina A. Shboul
Electrical & Computer Engineering Theses & Dissertations

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Efficacy of Radiomics and Genomics in Predicting TP53 Mutations in Diffuse Lower Grade Glioma, Zeina A. Shboul, Khan Iftekharuddin
Electrical & Computer Engineering Faculty Publications

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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

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2019

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

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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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