Zeina A. Shboul

Orcid: 0000-0002-1277-4041

According to our database1, Zeina A. Shboul authored at least 11 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma Patients.
CoRR, 2023

2022
Uncertainty estimation in classification of MGMT using radiogenomics for glioblastoma patients.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021
Radiogenomic Prediction of MGMT Using Deep Learning with Bayesian Optimized Hyperparameters.
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.
PhD thesis, 2020

Efficacy of radiomics and genomics in predicting TP53 mutations in diffuse lower grade glioma.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019
Prediction of low-grade glioma progression using MR imaging.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
Glioblastoma Survival Prediction.
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.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Glioblastoma and Survival Prediction.
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.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017


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