Z. A. Shboul

发表

Uncertainty estimation in classification of MGMT using radiogenomics for glioblastoma patients

K. Iftekharuddin, A. Temtam, W. Farzana, 2022, Medical Imaging.

Prediction of low-grade glioma progression using MR imaging

Khan M. Iftekharuddin, Zeina A. Shboul, K. Iftekharuddin, 2019, Medical Imaging.

Deep Neural Network Analysis of Pathology Images With Integrated Molecular Data for Enhanced Glioma Classification and Grading

Zeina A. Shboul, Karra A. Jones, K. Iftekharuddin, 2021, Frontiers in Oncology.

Prediction of Molecular Mutations in Diffuse Low-Grade Gliomas using MR Imaging Features

James Chen, Khan M. Iftekharuddin, Z. A. Shboul, 2020, Scientific Reports.

Model-Based Approach for Diffuse Glioma Classification, Grading, and Patient Survival Prediction

Zeina A. Shboul, Z. A. Shboul, 2020 .

Feature-Guided Deep Radiomics for Glioblastoma Patient Survival Prediction

Khan M. Iftekharuddin, Mohamed I. Elbakary, Lasitha Vidyaratne, 2019, Front. Neurosci..

Deep learning and texture-based semantic label fusion for brain tumor segmentation

Khan M. Iftekharuddin, Mahbubul Alam, L. Vidyaratne, 2018, Medical Imaging.

Glioblastoma and Survival Prediction

Khan M. Iftekharuddin, Mahbubul Alam, Lasitha Vidyaratne, 2017, BrainLes@MICCAI.

Quantitative MR Image Analysis for Brian Tumor.

Zeina A Shboul, Khan M Iftekharuddin, Sayed M S Reza, 2017, VipIMAGE 2017 : proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. VipIMAGE (Conference).

Joint Modeling of RNAseq and Radiomics Data for Glioma Molecular Characterization and Prediction

N. Diawara, K. Iftekharuddin, A. Vossough, 2021, Frontiers in Medicine.

Efficacy of radiomics and genomics in predicting TP53 mutations in diffuse lower grade glioma

Khan M. Iftekharuddin, Zeina A. Shboul, K. Iftekharuddin, 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning

Khan M. Iftekharuddin, Lasitha Vidyaratne, Linmin Pei, 2019, BrainLes@MICCAI.

Glioblastoma Survival Prediction

Khan M. Iftekharuddin, Mahbubul Alam, Lasitha Vidyaratne, 2018, BrainLes@MICCAI.

Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma Patients

N. Diawara, K. Iftekharuddin, J. Palmer, 2023, ArXiv.

Deep learning of texture and structural features for multiclass Alzheimer's disease classification

Khan M. Iftekharuddin, Mahbubul Alam, Chester V. Dolph, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Prediction of Molecular Mutations in Diffuse Low-Grade Gliomas using MR Imaging Features

Zeina A. Shboul, James Chen, Khan M. Iftekharuddin, 2020, Scientific Reports.

Recent experience with computational modeling for medical image analysis

Khan M. Iftekharuddin, Zeina A. Shboul, K. Iftekharuddin, 2018, Optical Engineering + Applications.

Glioma grading using structural magnetic resonance imaging and molecular data

Karra A. Jones, Syed M. S. Reza, Syed M S Reza, 2019, Journal of medical imaging.