Maged Goubran

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Assistant Professor

University of Toronto

Canada

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About

Dr. Maged Goubran is an Assistant Professor at the University of Toronto, Canada. His research areas include the intersection of artificial intelligence and medical imaging, neuromodulation therapies, and the neurobiological underpinnings of cognitive impairment. Recent publications highlight his work on the effects of sleep apnea on hippocampal volumes, AI-assisted cancer detection, and the therapeutic potential of deep brain stimulation.

Recent Grants

Grant: Close

STROKECOG Platform: Innovative Clinical Trials Training Initiatives for STROKE and COGnition

Open Date: 2022-09-01

Close Date: 2025-08-31

Grant: Open

Canada Research Chairs - Tier 2

Open Date: 2022-04-01

Close Date: 2027-03-31

Grant: Open

Health Research Training to Address Vascular Contributions to Cognitive Decline: the Vascular Training (VAST) Platform

Open Date: 2022-01-01

Close Date: 2027-12-31

Grant: Close

Rescue of entorhinal-hippocampal neuronal network dysfunction in Alzheimer's disease

Open Date: 2021-10-01

Close Date: 2026-09-30

Grant: Close

Pro-Resolving Inflammatory Mediators in Neurovascular Gains in Aerobic Training (PRIMiNG-AT)

Open Date: 2021-06-01

Close Date: 2024-05-31

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Collaborators (9)

Joel Ramirez

Lecturer: PGY-1 Behavioral Neurology Residency Program

Sunnybrook Health Sciences Centre

CANADA

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Ritchie Chen

University of California, San Francisco

UNITED STATES

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Richard Frayne

Hopewell Professor of Brain Imaging

University of Calgary

CANADA

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Masatoshi Inoue

Assistant Professor

Washington University in St. Louis

UNITED STATES

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Sabrina Adamo

Sunnybrook Research Institute

CANADA

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Clement Hamani

Sunnybrook Research Institute

CANADA

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Anish Kapadia

University of Toronto

CANADA

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pejman Jabehdar Maralani

Associate Professor

University of Toronto

CANADA

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Julie Ottoy

Assistant Professor

University of Toronto

CANADA

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Maged Goubran

Research Interests

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About

Recent Grants

Articles (28)

Examining the association between sleep apnea and total hippocampal volumes in cognitive impairment.

Artificial Intelligence-Assisted Detection of Breast Cancer Lymph Node Metastases in the Post-Neoadjuvant Treatment Setting.

A deep learning pipeline for three-dimensional brain-wide mapping of local neuronal ensembles in teravoxel light-sheet microscopy.

Long-term safety and efficacy of focused ultrasound capsulotomy for obsessive-compulsive disorder and major depressive disorder

Distinct spatial contributions of amyloid pathology and cerebral small vessel disease to hippocampal morphology.

Motion correction of 3D dynamic contrast-enhanced ultrasound imaging without anatomical B-Mode images: Pilot evaluation in eight patients.

Network response of brain microvasculature to neuronal stimulation.

Antidepressant class and concurrent rTMS outcomes in major depressive disorder: a systematic review and meta-analysis

Cytochrome P450-soluble epoxide hydrolase oxylipins, depression and cognition in type 2 diabetes

Tau follows principal axes of functional and structural brain organization in Alzheimer’s disease

Neuromodulation as a therapeutic approach for post-traumatic stress disorder: the evidence to date.

Examining the NEUROG2-lineage and associated-gene expression in human cortical organoids.

Hypothalamic deep brain stimulation augments walking after spinal cord injury.

segcsvd&lt;sub&gt;WMH&lt;/sub&gt;: A Convolutional Neural Network-Based Tool for Quantifying White Matter Hyperintensities in Heterogeneous Patient Cohorts.

Homocysteine, neurodegenerative biomarkers, and APOE ε4 in neurodegenerative diseases.

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

White matter hyperintensities and smaller cortical thickness are associated with neuropsychiatric symptoms in neurodegenerative and cerebrovascular diseases.

Perivascular spaces mediate a relationship between diabetes and other cerebral small vessel disease markers in cerebrovascular and neurodegenerative diseases.

ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI.

Microstructural Alterations in Tract Development in College Football and Volleyball Players: A Longitudinal Diffusion MRI Study.

Longitudinal alterations of cerebral blood flow in high-contact sports.

Feasibility of diffusion-tensor and correlated diffusion imaging for studying white-matter microstructural abnormalities: Application in COVID-19.

Blood-brain barrier opening of the default mode network in Alzheimer's disease with magnetic resonance-guided focused ultrasound.

Cardiogenic control of affective behavioural state

Effects of post-acute COVID-19 syndrome on the functional brain networks of non-hospitalized individuals

Segmentation of Brain Metastases Using Background Layer Statistics (BLAST)

Persistent post-COVID headache is associated with suppression of scale-free functional brain dynamics in non-hospitalized individuals.

Segmentation of Brain Metastases Using Background Layer Statistics (BLAST).

Collaborators (9)

Joel Ramirez

Ritchie Chen

Richard Frayne

Masatoshi Inoue

Sabrina Adamo

Clement Hamani

Anish Kapadia

pejman Jabehdar Maralani

Julie Ottoy

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segcsvd<sub>WMH</sub>: A Convolutional Neural Network-Based Tool for Quantifying White Matter Hyperintensities in Heterogeneous Patient Cohorts.