Ali Sadeghi-Naini

Assistant Professor

York University

Canada

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Dr. Ali Sadeghi-Naini is an Assistant Professor at York University in Canada. His research focuses on quantitative imaging techniques and artificial intelligence applications in breast cancer and brain metastasis. Recent publications include studies on ultrasound texture analysis models, automatic assessment of radiation therapy outcomes, and digital pathology imaging biomarkers. He is dedicated to advancing the fields of computational radiology and tumor motion tracking in external beam radiation therapy.

Articles (11)

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2025

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2023

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2023

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2023

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2022

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (6)

Alex Shenfield

Associate Professor in Machine Learning

Sheffield Hallam University

UNITED KINGDOM

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maureen trudeau

Head of medical oncology and hematology

Fred Hutch Cancer Center

CANADA

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Abbas Samani

Professor

University of Western Ontario

CANADA

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Andrea Eisen

McMaster University

CANADA

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Daniel DiCenzo

Sunnybrook Research Institute

CANADA

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WILLIAM T TRAN

Assistant Professor

University of Toronto

CANADA

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Ali Sadeghi-Naini

Research Interests

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Articles (11)

Validation of a Quantitative Ultrasound Texture Analysis Model for Early Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: A Prospective Serial Imaging Study

Automatic Assessment of Stereotactic Radiation Therapy Outcome in Brain Metastasis Using Longitudinal Segmentation on Serial MRI

Automatic characterization of breast lesions using multi-scale attention-guided deep learning of digital histology images

A Self-Attention-Guided 3D Deep Residual Network With Big Transfer to Predict Local Failure in Brain Metastasis After Radiotherapy Using Multi-Channel MRI

Impact of Tumour Segmentation Accuracy on Efficacy of Quantitative MRI Biomarkers of Radiotherapy Outcome in Brain Metastasis

Assessment of Digital Pathology Imaging Biomarkers Associated with Breast Cancer Histologic Grade

Combining First- and Second-Order Continuity Constraints in Ultrasound Elastography

In-vivo lung biomechanical modeling for effective tumor motion tracking in external beam radiation therapy

Computational Radiology in Breast Cancer Screening and Diagnosis Using Artificial Intelligence

Reply to A. Pfob et al

Quantitative ultrasound radiomics for therapy response monitoring in patients with locally advanced breast cancer: Multi-institutional study results

Collaborators (6)

Alex Shenfield

maureen trudeau

Abbas Samani

Andrea Eisen

Daniel DiCenzo

WILLIAM T TRAN

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