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Zeina A Shboul

Showing results (1-10 of 7) with videos related to

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Scientific Reports|March 1, 2020
Prediction of Molecular Mutations in Diffuse Low-Grade Gliomas using MR Imaging FeaturesZeina A Shboul, James Chen, Khan M Iftekharuddin
Vipimage 2017 : Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. Vipimage (Conference) (2017 : Porto, Portugal)|December 15, 2017
Quantitative MR Image Analysis for Brian TumorZeina A Shboul, Sayed M S Reza, Khan M Iftekharuddin
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.
Frontiers in Neuroscience|October 18, 2019
Feature-Guided Deep Radiomics for Glioblastoma Patient Survival PredictionZeina A Shboul, Mahbubul Alam, Lasitha Vidyaratne, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 1, 2019
Glioma grading using structural magnetic resonance imaging and molecular dataSyed M S Reza, Manar D Samad, Zeina A Shboul, et al.
Cancers|September 28, 2023
Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma PatientsWalia Farzana, Mustafa M Basree, Norou Diawara, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Scientific Reports|March 1, 2020
Prediction of Molecular Mutations in Diffuse Low-Grade Gliomas using MR Imaging FeaturesZeina A Shboul, James Chen, Khan M Iftekharuddin
Vipimage 2017 : Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. Vipimage (Conference) (2017 : Porto, Portugal)|December 15, 2017
Quantitative MR Image Analysis for Brian TumorZeina A Shboul, Sayed M S Reza, Khan M Iftekharuddin
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.
Frontiers in Neuroscience|October 18, 2019
Feature-Guided Deep Radiomics for Glioblastoma Patient Survival PredictionZeina A Shboul, Mahbubul Alam, Lasitha Vidyaratne, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 1, 2019
Glioma grading using structural magnetic resonance imaging and molecular dataSyed M S Reza, Manar D Samad, Zeina A Shboul, et al.
Cancers|September 28, 2023
Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma PatientsWalia Farzana, Mustafa M Basree, Norou Diawara, et al.
Pageof 1