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Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis.

G. Hajianfar, I. Shiri, H. Maleki, N. Oveisi, A. Haghparast, H. Abdollahi, and M. Oveisi. CoRR, (2019)

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Isaac

Godwin Shiri

Shiri Versano

Amukelani Lacrecia Shiringani

Laurent Mawalla Shirima

Other publications of authors with the same name

Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images.I. Shiri, M. Amini, M. Nazari, G. Hajianfar, A. Avval, H. Abdollahi, M. Oveisi, H. Arabi, A. Rahmim, and H. Zaidi. Comput. Biol. Medicine, (2022)COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients.I. Shiri, Y. Salimi, M. Pakbin, G. Hajianfar, A. Avval, A. Sanaat, S. Mostafaei, A. Akhavanallaf, A. Saberi, Z. Mansouri and 39 other author(s). Comput. Biol. Medicine, (2022)Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature.Z. Khodabakhshi, S. Mostafaei, H. Arabi, M. Oveisi, I. Shiri, and H. Zaidi. Comput. Biol. Medicine, (2021)Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients.I. Shiri, M. Sorouri, P. Geramifar, M. Nazari, M. Abdollahi, Y. Salimi, B. Khosravi, D. Askari, L. Aghaghazvini, G. Hajianfar and 6 other author(s). Comput. Biol. Medicine, (2021)Multi-institutional PET/CT image segmentation using federated deep transformer learning.I. Shiri, B. Razeghi, A. Sadr, M. Amini, Y. Salimi, S. Ferdowsi, P. Boor, D. Gündüz, S. Voloshynovskiy, and H. Zaidi. Comput. Methods Programs Biomed., (October 2023)Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches.I. Shiri, H. Maleki, G. Hajianfar, H. Abdollahi, S. Ashrafinia, M. Hatt, M. Oveisi, and A. Rahmim. CoRR, (2019)Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study.M. Mohebi, M. Amini, M. Alemzadeh-Ansari, A. Alizadehasl, A. Bitarafan rajabi, I. Shiri, H. Zaidi, and M. Orooji. J. Digit. Imaging, 36 (4): 1348-1363 (August 2023)Artificial intelligence-driven assessment of radiological images for COVID-19.Y. Bouchareb, P. Khaniabadi, F. Kindi, H. Dhuhli, I. Shiri, H. Zaidi, and A. Rahmim. Comput. Biol. Medicine, (2021)Personalized brachytherapy dose reconstruction using deep learning.A. Akhavanallaf, R. Mohammadi, I. Shiri, Y. Salimi, H. Arabi, and H. Zaidi. Comput. Biol. Medicine, (2021)Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics.P. Khaniabadi, Y. Bouchareb, H. Dhuhli, I. Shiri, F. Kindi, B. Khaniabadi, H. Zaidi, and A. Rahmim. Comput. Biol. Medicine, (2022)

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Disambiguation of "Shiri, Isaac"