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Hassan M. Fathallah-Shaykh

Researcher at University of Alabama at Birmingham

Publications -  87
Citations -  2678

Hassan M. Fathallah-Shaykh is an academic researcher from University of Alabama at Birmingham. The author has contributed to research in topics: Glioma & Image segmentation. The author has an hindex of 23, co-authored 82 publications receiving 2136 citations. Previous affiliations of Hassan M. Fathallah-Shaykh include Rush University Medical Center & University of Illinois at Chicago.

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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas, +438 more
TL;DR: This study assesses the state-of-the-art machine learning methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018, and investigates the challenge of identifying the best ML algorithms for each of these tasks.
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Cloning of a leucine-zipper protein recognized by the sera of patients with antibody-associated paraneoplastic cerebellar degeneration.

TL;DR: The occurrence of leucine-zipper and zinc-finger motifs in the predicted open reading frame suggests that this protein plays a role in the regulation of gene expression in Antibody-associated paraneoplastic cerebellar degeneration.
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Gene Transfer of IFN-γ into Established Brain Tumors Represses Growth by Antiangiogenesis

TL;DR: Gene transfer of IFN-γ inhibits neovascularization of the tumor in a 3LL-Matrigel assay in vivo, and AdIFN induces apoptosis of endothelial cells in vitro, supporting the idea that Ad IFN represses tumor growth by inhibiting angiogenesis.
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Malignant astrocytomas: a system disease.

TL;DR: The alteration of multiple networking genes by recurrent chromosomal aberrations in gliomas deregulates critical signaling pathways through multiple, cooperative mechanisms and is associated with patient prognosis.