Faculty profile

Yunyan Zhang

ResearcherRadiologyUniversity of Calgary

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Calgary directory, so their courses may be missing. Find their university profile.

Yunyan Zhang

Researcher

Radiology

Health Sciences

University of Calgary

Calgary, Alberta, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
16 publications in the last five years, latest in 2026.
Senior (last) author on 9 recent papers, a sign of leading a research group.
Principal investigator on 4 research grants (2 CIHR, 2 NSERC), most recently in 2020.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

Citations

h-index

Collaborators

Grants

Publications by year

Counts cover the works listed on the university profile; citation counts come from Dimensions.

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Signals and details

Research

Brain Pathology Deep Machine Learning Magnetic Resonance Imaging Personalized Treatment Relapsing Remitting Multiple Sclerosis Secondary Progressive Multiple Sclerosis Clinical Outcomes Disease Worsening Score

Latest papers

Serum angiogenesis-hypoxia biomarkers in relapsing-remitting multiple sclerosis.
Multiple sclerosis and related disorders · 2026
High angular resolution diffusion imaging of neurodevelopment in children through data creation with deep learning.
Scientific reports · 2026 · senior author
Three-Dimensional Deep Learning with Routine Brain Magnetic Resonance Imaging and Clinical Data for Identification of Secondary Progressive Multiple Sclerosis.
Brain sciences · 2026 · senior author

All 36 publications

Latest funding

Leading AI-Driven Advances in Brain Tumour Glymphatics
SSHRC · 2024 · Co-investigator
$125,000
Non-invasive near-infrared spectroscopic measures of brain oxygenation and function--a potential biomarker of disease severity and progression in Multiple Sclerosis
CIHR · 2024 · Co-investigator
$979,200
Prediction of multiple sclerosis disability worsening scores using multi-stream deep learning
CIHR · 2020 · Nominated PI
$711,450

All 6 grants and awards

36 publications.

Serum angiogenesis-hypoxia biomarkers in relapsing-remitting multiple sclerosis.

Yong HYF, Batty NJ, Phillips S, Ghuman M, Zhang Y, Camara-Lemarroy C

Multiple sclerosis and related disorders2026

DOI: 10.1016/j.msard.2026.107356 PMID: 42431138

High angular resolution diffusion imaging of neurodevelopment in children through data creation with deep learning.

Oladosu O, Lo F, Geeraert B, Lebel C, Zhang Y

Scientific reports2026Senior author

DOI: 10.1038/s41598-026-60107-7 PMID: 42366258

Three-Dimensional Deep Learning with Routine Brain Magnetic Resonance Imaging and Clinical Data for Identification of Secondary Progressive Multiple Sclerosis.

Soleymani M, Oladosu O, Salman S, Rashid M, Bento M, Zhang Y

Brain sciences2026Senior author

DOI: 10.3390/brainsci16070670 PMID: 42512445

Cerebellar magnetization transfer ratio and its relationship to clinical outcomes in radiologically isolated syndrome and multiple sclerosis.

Lee LE, Khoury M, Churchill N, Vavasour I, Johnson P, Traboulsee A, Lynd LD, Prat A, Zhang Y, Feinstein A, Graham SJ, Hodaie M, Kolind S, Schweizer TA, Oh J, CanProCo Study Group

Multiple sclerosis (Houndmills, Basingstoke, England)2026

DOI: 10.1177/13524585261450926 PMID: 42334399

A Z-Score Template Method for Person-Specific Augmentation of Clinical Brain MRI: An Investigation in Multiple Sclerosis.

Oladosu O, Tariq R, Shahrokhi S, Zhang Y

NMR in biomedicine2026Senior author

DOI: 10.1002/nbm.70313 PMID: 42157660

Myelin damage in radiologically isolated syndrome is associated with decreased processing speed.

Kalau O, Johnson P, Oh J, Prat A, Vavasour IM, Laule C, Tam R, Keane C, Morrow SA, Wilken J, Schabas A, Lynd LD, Patten SB, Wilman AH, Zhang Y, Wee Yong V, Kolind SH, Traboulsee AL

Multiple sclerosis journal - experimental, translational and clinical2026

DOI: 10.1177/20552173261446217 PMID: 42153200

The glymphatic system and glioblastoma.

Soumbasis A, Ueno A, Elliott D, Lama S, Edwards S, Starreveld YP, Zhang Y, Federico P, Sutherland GR, LeVan P, Poon CC

Brain : a journal of neurology2026

DOI: 10.1093/brain/awaf449 PMID: 41310975

CycleGAN models show consistent brain MRI synthesis across datasets supporting downstream tissue characterization in multiple sclerosis.

Shahrokhi S, Oladosu O, Tariq R, Zhang Y

Frontiers in neuroinformatics2026Senior author

DOI: 10.3389/fninf.2026.1762794 PMID: 41908698

Advanced brain diffusion MRI and image texture measures have the potential to predict multi-domain functional outcomes in multiple sclerosis.

Oladosu O, Zhang Y

Journal of neuroscience methods2025Senior author

DOI: 10.1016/j.jneumeth.2025.110562 PMID: 40886919

Cervical Spinal Cord Magnetization Transfer Ratio and Its Relationship With Clinical Outcomes in Multiple Sclerosis.

Lee LE, Cohen-Adad J, Vavasour IM, Guenette M, Sawicka K, Rashidi-Ranjbar N, Churchill N, Chopra A, Adelia A, Benveniste PL, Traboulsee A, Arbour N, Giuliani F, Lynd LD, Patten SB, Prat A, Schabas A, Smyth P, Tam R, Zhang Y, Graham SJ, Hodaie M, Feinstein A, Kolind S, Schweizer TA, Oh J, CanProCo Study Group

Annals of clinical and translational neurology2025

DOI: 10.1002/acn3.70113 PMID: 40583289

Leading AI-Driven Advances in Brain Tumour Glymphatics

Co-investigatorSSHRC2024New Frontiers in Research Fund - Exploration

Principal investigators: Poon, Candice

$125,000

Non-invasive near-infrared spectroscopic measures of brain oxygenation and function--a potential biomarker of disease severity and progression in Multiple Sclerosis

Co-investigatorCIHR2024Project Grant

Principal investigators: Dunn, Jeff F

Keywords: Brain; Functional Connectivity; Hemodynamic Coherence; Hypoxia; Inflammation; Multiple Sclerosis; Near-Infrared Spectroscopy

$979,200

Prediction of multiple sclerosis disability worsening scores using multi-stream deep learning

Nominated PICIHR2020Project Grant

Principal investigators: Zhang, Yunyan

Keywords: Brain Pathology; Clinical Outcomes; Deep Machine Learning; Disease Worsening Score; Image Texture Analysis; Magnetic Resonance Imaging; Personalized Treatment; Relapsing Remitting Multiple Sclerosis; Secondary Progressive Multiple Sclerosis; Sustained Disability Worsening

$711,450

Prediction of multiple sclerosis disability worsening scores using multi-stream deep learning

Nominated PICIHR2019Project Grant - PA: Neurosciences, Mental Health and Addiction

Principal investigators: Zhang, Yunyan

Keywords: Brain Pathology; Clinical Variables; Deep Machine Learning; Disability Worsening Score; Magnetic Resonance Imaging; Multiple Sclerosis; Personalized Treatment; Relapsing Remitting Multiple Sclerosis; Secondary Progressive Multiple Sclerosis; Texture Analysis

$100,000

Image analysis and machine learning methods for advanced MRI-neuropathology characterization

Principal investigatorNSERC2018Discovery Grants Program - Individual

Principal investigators: Zhang, Yunyan

$168,000

Novel Image Texture Analysis for Advanced Structure Characterization

Principal investigatorNSERC2012Discovery Grants Program - Individual

Principal investigators: Zhang, Yunyan

$115,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Yunyan Zhang

Research

Latest papers

Latest funding

Serum angiogenesis-hypoxia biomarkers in relapsing-remitting multiple sclerosis.

High angular resolution diffusion imaging of neurodevelopment in children through data creation with deep learning.

Three-Dimensional Deep Learning with Routine Brain Magnetic Resonance Imaging and Clinical Data for Identification of Secondary Progressive Multiple Sclerosis.

Cerebellar magnetization transfer ratio and its relationship to clinical outcomes in radiologically isolated syndrome and multiple sclerosis.

A Z-Score Template Method for Person-Specific Augmentation of Clinical Brain MRI: An Investigation in Multiple Sclerosis.

Myelin damage in radiologically isolated syndrome is associated with decreased processing speed.

The glymphatic system and glioblastoma.

CycleGAN models show consistent brain MRI synthesis across datasets supporting downstream tissue characterization in multiple sclerosis.

Advanced brain diffusion MRI and image texture measures have the potential to predict multi-domain functional outcomes in multiple sclerosis.

Cervical Spinal Cord Magnetization Transfer Ratio and Its Relationship With Clinical Outcomes in Multiple Sclerosis.

Leading AI-Driven Advances in Brain Tumour Glymphatics

Non-invasive near-infrared spectroscopic measures of brain oxygenation and function--a potential biomarker of disease severity and progression in Multiple Sclerosis

Prediction of multiple sclerosis disability worsening scores using multi-stream deep learning

Prediction of multiple sclerosis disability worsening scores using multi-stream deep learning

Image analysis and machine learning methods for advanced MRI-neuropathology characterization

Novel Image Texture Analysis for Advanced Structure Characterization

Frequent collaborators

Jiwon Oh

Shannon Kolind

Anthony Traboulsee

Alexandre Prat

Nathan Churchill

Mojgan Hodaie

Sarah Edwards

Pierre LeVan

Fabrizio Giuliani

Catherine Lebel

Nathalie Arbour

Paolo Federico

Julien Cohen-Adad

Penelope Smyth

Alexander Rauscher

Jeff Dunn

Sridar Narayanan

Richard Frayne