Deep learning of texture and structural features for multiclass Alzheimer's disease classification. - Chester V. Dolph; Mahbubul Alam; Zeina A. Shboul; Manar D. Samad; Khan M. Iftekharuddin (IJCNN, 2017)

Glioblastoma and Survival Prediction. - Zeina A. Shboul; Lasitha Vidyaratne; Mahbubul Alam; Khan M. Iftekharuddin (BrainLes@MICCAI, 2017)

Deep learning and texture-based semantic label fusion for brain tumor segmentation. - Lasitha Vidyaratne; Mahbubul Alam; Zeina A. Shboul; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2018)

Glioblastoma Survival Prediction. - Zeina A. Shboul; Mahbubul Alam; Lasitha Vidyaratne; Linmin Pei; Khan M. Iftekharuddin (BrainLes@MICCAI (2), 2018)

Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning. - Linmin Pei; Lasitha Vidyaratne; Md Monibor Rahman; Zeina A. Shboul; Khan M. Iftekharuddin (BrainLes@MICCAI (2), 2019)

Prediction of low-grade glioma progression using MR imaging. - Zeina A. Shboul; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2019)

Efficacy of radiomics and genomics in predicting TP53 mutations in diffuse lower grade glioma. - Zeina A. Shboul; Khan M. Iftekharuddin (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Model-Based Approach for Diffuse Glioma Classification, Grading, and Patient Survival Prediction. - Zeina A. Shboul (2020)

Radiogenomic Prediction of MGMT Using Deep Learning with Bayesian Optimized Hyperparameters. - Walia Farzana; Ahmed G. Temtam; Zeina A. Shboul; Md Monibor Rahman; Md. Shibly Sadique; Khan M. Iftekharuddin (BrainLes@MICCAI (2), 2021)

Uncertainty estimation in classification of MGMT using radiogenomics for glioblastoma patients. - Walia Farzana; Zeina A. Shboul; Ahmed G. Temtam; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2022)

Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma Patients. - Walia Farzana; Mustafa M. Basree; Norou Diawara; Zeina A. Shboul; Sagel Dubey; Marie M. Lockhart; Mohamed Hamza; Joshua D. Palmer; Khan M. Iftekharuddin (CoRR, 2023)