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Pegah Khosravi

Showing results (1-10 of 26) with videos related to

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Radiology. Artificial Intelligence|April 15, 2026
Seeing beyond CT: Multimodal Data and the Next Frontier of AI for Bone Metastasis DetectionPegah Khosravi
Journal of Magnetic Resonance Imaging : JMRI|June 19, 2024
Editorial for "Parallel CNN-Deep Learning Clinical-Imaging Signature for Assessing Pathologic Grade and Prognosis of Soft Tissue Sarcoma Patients"Pegah Khosravi
Journal of Magnetic Resonance Imaging : JMRI|October 11, 2023
Editorial for "Automated Breast Density Assessment in MRI Using Deep Learning and Radiomics: Strategies for Reducing Inter-Observer Variability"Pegah Khosravi
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 27, 2018
Disruption of Protein Complexes from Weighted Complex NetworksMahnaz Habibi, Pegah Khosravi
Journal of Magnetic Resonance Imaging : JMRI|October 2, 2024
Editorial for "Deep-Learning-Based Disease Classification in Patients Undergoing Cine Cardiac MRI"Saber Mohammadi, 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.
Cancer Research|July 2, 2025
Artificial Intelligence-Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and MultimodalityPegah Khosravi, Thomas J Fuchs, David Joon Ho
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.
Gene|September 18, 2013
Predicting distinct organization of transcription factor binding sites on the promoter regions: a new genome-based approach to expand human embryonic stem cell regulatory networkBatool Hosseinpour, Mohammad Reza Bakhtiarizadeh, Pegah Khosravi, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Radiology. Artificial Intelligence|April 15, 2026
Seeing beyond CT: Multimodal Data and the Next Frontier of AI for Bone Metastasis DetectionPegah Khosravi
Journal of Magnetic Resonance Imaging : JMRI|June 19, 2024
Editorial for "Parallel CNN-Deep Learning Clinical-Imaging Signature for Assessing Pathologic Grade and Prognosis of Soft Tissue Sarcoma Patients"Pegah Khosravi
Journal of Magnetic Resonance Imaging : JMRI|October 11, 2023
Editorial for "Automated Breast Density Assessment in MRI Using Deep Learning and Radiomics: Strategies for Reducing Inter-Observer Variability"Pegah Khosravi
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 27, 2018
Disruption of Protein Complexes from Weighted Complex NetworksMahnaz Habibi, Pegah Khosravi
Journal of Magnetic Resonance Imaging : JMRI|October 2, 2024
Editorial for "Deep-Learning-Based Disease Classification in Patients Undergoing Cine Cardiac MRI"Saber Mohammadi, 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.
Cancer Research|July 2, 2025
Artificial Intelligence-Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and MultimodalityPegah Khosravi, Thomas J Fuchs, David Joon Ho
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.
Gene|September 18, 2013
Predicting distinct organization of transcription factor binding sites on the promoter regions: a new genome-based approach to expand human embryonic stem cell regulatory networkBatool Hosseinpour, Mohammad Reza Bakhtiarizadeh, Pegah Khosravi, et al.
Pageof 3