Zeina A. Shboul

According to our database, Zeina A. Shboul authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

2022

Uncertainty estimation in classification of MGMT using radiogenomics for glioblastoma patients.

Walia Farzana, Zeina A. Shboul, Ahmed G. Temtam, Khan M. Iftekharuddin

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

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

Zeina A. Shboul

PhD thesis, 2020

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

Zeina A. Shboul, Khan M. Iftekharuddin

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019

Prediction of low-grade glioma progression using MR imaging.

Zeina A. Shboul, Khan M. Iftekharuddin

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning.

Linmin Pei, Lasitha Vidyaratne, Md Monibor Rahman, Zeina A. Shboul, Khan M. Iftekharuddin

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Glioblastoma Survival Prediction.

Zeina A. Shboul, Mahbubul Alam, Lasitha Vidyaratne, Linmin Pei, Khan M. Iftekharuddin

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

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

Lasitha Vidyaratne, Mahbubul Alam, Zeina A. Shboul, Khan M. Iftekharuddin

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017

Glioblastoma and Survival Prediction.

Zeina A. Shboul, Lasitha Vidyaratne, Mahbubul Alam, Khan M. Iftekharuddin

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

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

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017