Richard Frayne

Hopewell Professor of Brain Imaging

University of Calgary

Canada

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About

Dr. Richard Frayne is the Hopewell Professor of Brain Imaging at the University of Calgary, Canada. His research focuses on advanced imaging techniques and their applications in understanding and diagnosing neurological conditions, as evidenced by his recent publications on white matter integrity, amyloid-PET imaging, and functional connectivity in amyotrophic lateral sclerosis. He is dedicated to exploring the relationships between brain imaging findings and cognitive profiles in various patient populations.

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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2022

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2022

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2022

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2022

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CANADA

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Richard Camicioli

Associate/Full Professor

University of Alberta

CANADA

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Richard Frayne

Research Interests

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Articles (11)

Attention Blocks Improve White Matter Hyperintensity Semantic Segmentation using U-Nets

SF2Former: Amyotrophic lateral sclerosis identification from multi-center MRI data using spatial and frequency fusion transformer

Amyloid-PET of the white matter: Relationship to free water, fiber integrity, and cognition in patients with dementia and small vessel disease.

Amyloid-PET of the white matter: Relationship to free water, fiber integrity, and cognition in patients with dementia and small vessel disease

Can quantitative susceptibility mapping help diagnose and predict recovery of concussion in children? An A-CAP study.

Motor cortex functional connectivity is associated with underlying neurochemistry in ALS.

Vascular Brain Lesions, Cognitive Reserve, and Their Association with Cognitive Profile in Persons with Early-Stage Cognitive Decline.

Vascular Brain Lesions, Cognitive Reserve, and Their Association with Cognitive Profile in Persons with Early-Stage Cognitive Decline

Vascular burden and cognition: Mediating roles of neurodegeneration and amyloid PET.

Multi-Coil MRI Reconstruction Challenge-Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations.

Multisite reproducibility of quantitative susceptibility mapping and effective transverse relaxation rate in deep gray matter at 3 T using locally optimized sequences in 24 traveling heads.

Collaborators (10)

Christian Beaulieu

Nicolas Dupre

Eric Smith

Maged Goubran

Catherine Lebel

Sabrina Adamo

Sanjay Kalra

Julie Ottoy

Quynh Doan

Richard Camicioli

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