Behzad Forghani

Montreal, QC H4A3J1, Canada

Last Updated: 09/26/2026

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Found 9 publications

Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models.

Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models.

Journal: Cancers

Published: April 18, 2021

Brief History of Artificial Intelligence.

Brief History of Artificial Intelligence.

Journal: Neuroimaging clinics of North America

Published: October 11, 2020

Overview of Machine Learning Part 1: Fundamentals and Classic Approaches.

Overview of Machine Learning Part 1: Fundamentals and Classic Approaches.

Journal: Neuroimaging clinics of North America

Published: October 11, 2020

Radiomics and Artificial Intelligence for Biomarker and Prediction Model Development in Oncology.

Radiomics and Artificial Intelligence for Biomarker and Prediction Model Development in Oncology.

Journal: Computational and structural biotechnology journal

Published: March 26, 2019

Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning.

Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning.

Journal: European radiology

Published: January 08, 2019

Dual-Energy CT Texture Analysis With Machine Learning for the Evaluation and Characterization of Cervical Lymphadenopathy.

Dual-Energy CT Texture Analysis With Machine Learning for the Evaluation and Characterization of Cervical Lymphadenopathy.

Journal: Computational and structural biotechnology journal

Published: November 29, 2018

Advanced Tissue Characterization and Texture Analysis Using Dual-Energy Computed Tomography: Horizons and Emerging Applications.

Advanced Tissue Characterization and Texture Analysis Using Dual-Energy Computed Tomography: Horizons and Emerging Applications.

Journal: Neuroimaging clinics of North America

Published: July 17, 2017

Spectral multi-energy CT texture analysis with machine learning for tissue classification: an investigation using classification of benign parotid tumours as a testing paradigm.

Spectral multi-energy CT texture analysis with machine learning for tissue classification: an investigation using classification of benign parotid tumours as a testing paradigm.

Journal: European radiology

Published: June 29, 2017

Endometrial Carcinoma: MR Imaging-based Texture Model for Preoperative Risk Stratification-A Preliminary Analysis.

Endometrial Carcinoma: MR Imaging-based Texture Model for Preoperative Risk Stratification-A Preliminary Analysis.

Journal: Radiology

Published: May 12, 2017

Showing 1-9 of 9

Last Updated: 09/26/2026