Dr. Zeina Aman Shboul Profile

Dr. Zeina Aman Shboul

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Publications (6)

Proceedings Article | 4 April 2022 Presentation + Paper

Uncertainty estimation in classification of MGMT using radiogenomics for glioblastoma patients

W. Farzana, Z. Shboul, A. Temtam, K. Iftekharuddin

Proceedings Volume 12033, 120331E (2022) https://doi.org/10.1117/12.2612621

KEYWORDS: Data modeling, Fractal analysis, Performance modeling, Tumors, Tissues, Stochastic processes, Magnetic resonance imaging, Uncertainty analysis, Feature extraction, Image classification

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Proceedings Article | 28 February 2020 Presentation + Paper

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

Zeina Shboul, Khan Iftekharuddin

Proceedings Volume 11317, 113170Y (2020) https://doi.org/10.1117/12.2550764

KEYWORDS: Genomics, Tumors, Performance modeling, Magnetic resonance imaging, Feature extraction, Feature selection, Machine learning, Tissues, Data modeling, Brain

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SPIE Journal Paper | 24 April 2019

Glioma grading using structural magnetic resonance imaging and molecular data

Syed M. Reza, Manar Samad, Zeina Shboul, Karra Jones, Khan Iftekharuddin

JMI, Vol. 6, Issue 02, 024501, (April 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.2.024501

KEYWORDS: Magnetic resonance imaging, Tumors, Image segmentation, Feature extraction, Data modeling, Image classification, Statistical modeling, Pathology, Brain, Performance modeling

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Proceedings Article | 13 March 2019 Paper

Prediction of low-grade glioma progression using MR imaging

Zeina Shboul, Khan Iftekharuddin

Proceedings Volume 10950, 1095049 (2019) https://doi.org/10.1117/12.2512620

KEYWORDS: Tumors, Magnetic resonance imaging, Performance modeling, Feature extraction, Fractal analysis, Brain, Feature selection, Tissues, Nervous system, Genomics

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Proceedings Article | 7 September 2018 Paper

Recent experience with computational modeling for medical image analysis

Khan Iftekharuddin, Zeina Shboul

Proceedings Volume 10751, 107510K (2018) https://doi.org/10.1117/12.2323674

KEYWORDS: Tumors, Brain, Image segmentation, Magnetic resonance imaging, Tissues, Feature extraction, Medical imaging, Computational modeling, Image fusion, Fractal analysis

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Proceedings Article | 27 February 2018 Paper

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

L. Vidyaratne, M. Alam, Z. Shboul, K. Iftekharuddin

Proceedings Volume 10575, 105750D (2018) https://doi.org/10.1117/12.2292930

KEYWORDS: Tumors, Magnetic resonance imaging, Tissues, Brain, Image segmentation, Data modeling, Binary data, Image classification, Convolutional neural networks, Feature extraction

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Showing 5 of 6 publications

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