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IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 27, 2018
Disruption of Protein Complexes from Weighted Complex NetworksMahnaz Habibi, Pegah Khosravi
Frontiers in Radiology|July 26, 2023
Artificial intelligence in neuroradiology: a scoping review of some ethical challengesPegah Khosravi, Mark Schweitzer
Integrative Biology : Quantitative Biosciences From Nano to Macro|January 20, 2018
Exploring candidate biomarkers for lung and prostate cancers using gene expression and flux variability analysisYazdan Asgari, Pegah Khosravi, Zahra Zabihinpour, et al.
Journal of Pathology Informatics|December 20, 2022
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutationDavid Joon Ho, M Herman Chui, Chad M Vanderbilt, et al.
Genomics, Proteomics & Bioinformatics|December 17, 2017
The Ability of Different Imputation Methods to Preserve the Significant Genes and Pathways in CancerRosa Aghdam, Taban Baghfalaki, Pegah Khosravi, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|October 11, 2025
Deep Learning-Based Segmentation of Lung Adenocarcinoma Whole-Slide Images for Objective Grading, Tumor Spread Through Air Spaces Identification, and Mutation PredictionDavid Joon Ho, Jason C Chang, Rania G Aly, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 23, 2021
Deep Multi-Magnification Networks for multi-class breast cancer image segmentationDavid Joon Ho, Dig V K Yarlagadda, Timothy M D'Alfonso, et al.
Ebiomedicine|January 3, 2018
Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology ImagesPegah Khosravi, Ehsan Kazemi, Marcin Imielinski, et al.
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