Faculty profile

Ghassan Hamarneh

ResearcherComputing Science, School ofSimon Fraser University

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

Ghassan Hamarneh

Researcher

Computing Science, School of

Natural Sciences

Simon Fraser University

Burnaby, British Columbia, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
28 publications in the last five years, latest in 2026.
Senior (last) author on 18 recent papers, a sign of leading a research group.
Principal investigator on 13 research grants (10 NSERC, 3 CIHR), 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

100

Publications

Collaborators

Grants

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

Profiles and links

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Signals and details

Research

machine/deep learning for biomedical imaging medical computer vision medical image analysis

Latest papers

Adversarial Erasing Enhanced Multiple Instance Learning (siMILe): Discriminative Identification of Oligomeric Protein Structures in Single Molecule Localization Microscopy.
Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2026 · senior author
Diffusing caveolin-1 scaffolds regulate mechanosignalling.
Nature cell biology · 2026
Physician-in-the-Loop Active Learning in Radiology Artificial Intelligence Workflows: Opportunities, Challenges, and Future Directions.
AJR. American journal of roentgenology · 2025

All 100 publications

Latest funding

Enhanced multicolor STED super-resolution microscopy to study organelle dynamics and interaction
NSERC · 2025 · Co-investigator
$144,488
Stakeholder perspectives and impacts of explainable artificial intelligence: A case study in a British Columbia health authority
SSHRC · 2023 · Co-investigator
$74,210
Role of MERCs and Mitophagy in Cancer Progression
CIHR · 2022 · Co-investigator
$952,426

All 30 grants and awards

100 publications.

Adversarial Erasing Enhanced Multiple Instance Learning (siMILe): Discriminative Identification of Oligomeric Protein Structures in Single Molecule Localization Microscopy.

Hallgrimson C, Li YL, Shou CA, Cardoen B, Lim J, Wong TH, Khater IM, Nabi IR, Hamarneh G

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)2026Senior author

DOI: 10.1002/aisy.202501159 PMID: 42516267

Diffusing caveolin-1 scaffolds regulate mechanosignalling.

Mani SK, Tardif N, Rossier O, Khater IM, Zhou X, Breton V, Nunes Vicente F, Radhakrishnan AV, Gracia C, Gonzalez Troncoso P, Brito I, Ruez R, Dewulf M, Hamarneh G, Nabi IR, Cuniasse P, Sens P, Giannone G, Blouin CM, Lamaze C

Nature cell biology2026

DOI: 10.1038/s41556-026-01966-0 PMID: 42225832

Physician-in-the-Loop Active Learning in Radiology Artificial Intelligence Workflows: Opportunities, Challenges, and Future Directions.

Luo M, Yousefirizi F, Rouzrokh P, Jin W, Alberts I, Gowdy C, Bouchareb Y, Hamarneh G, Klyuzhin I, Rahmim A

AJR. American journal of roentgenology2025

DOI: 10.2214/ajr.25.33364 PMID: 40833223

HDCluster: High-Degree Graph Clustering for Robust Analysis of Single Molecule Localization Microscopy.

Khater IM, Nabi IR, Hamarneh G

bioRxiv : the preprint server for biology2025Senior author

DOI: 10.1101/2025.10.23.684134 PMID: 41279903

Enhanced direct joint attenuation and scatter correction of whole-body PET images via context-aware deep networks.

Izadi S, Shiri I, F Uribe C, Geramifar P, Zaidi H, Rahmim A, Hamarneh G

Zeitschrift fur medizinische Physik2025Senior author

DOI: 10.1016/j.zemedi.2024.01.002 PMID: 38302292

Closing the multichannel gap through computational reconstruction of interaction in super-resolution microscopy.

Cardoen B, Ben Yedder H, Nabi IR, Hamarneh G

Patterns (New York, N.Y.)2025Senior author

DOI: 10.1016/j.patter.2025.101181 PMID: 40486966

Comparative Analysis of SPLICS and MCS-DETECT for Detecting Mitochondria-ER Contact Sites (MERCs).

Zheng J, Cardoen B, Ortiz-Silva M, Hamarneh G, Nabi IR

Contact (Thousand Oaks (Ventura County, Calif.))2025

DOI: 10.1177/25152564251313721 PMID: 40115170

SuperResNET: Model-Free Single-Molecule Network Analysis Software Achieves Molecular Resolution of Nup96.

Li YL, Khater IM, Hallgrimson C, Cardoen B, Wong TH, Hamarneh G, Nabi IR

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)2025

DOI: 10.1002/aisy.202400521 PMID: 40726957

SuperResNET - single-molecule network analysis detects changes to clathrin structure induced by small-molecule inhibitors.

Wong TH, Khater IM, Hallgrimson C, Li YL, Hamarneh G, Nabi IR

Journal of cell science2025

DOI: 10.1242/jcs.263570 PMID: 39865933

Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets.

Abhishek K, Jain A, Hamarneh G

Scientific data2025Senior author

DOI: 10.1038/s41597-025-04382-5 PMID: 39893183

Enhanced multicolor STED super-resolution microscopy to study organelle dynamics and interaction

Co-investigatorNSERC2025Research Tools and Instruments

Principal investigators: Nabi, Ivan

Keywords: super resolution microscopy; fluorescent lifetime; endoplasmic reticulum; organelle; mitochondria; membrane contact sites; cytoskeleton

$144,488

Stakeholder perspectives and impacts of explainable artificial intelligence: A case study in a British Columbia health authority

Co-investigatorSSHRC2023Insight Development Grant

Principal investigators: Ronquillo, Charlene

Keywords: explainable AI; machine learning; decision support; systems operations; human factors; stakeholder perspectives; information systems; technology implementation; health systems; impact of technologies

$74,210

Role of MERCs and Mitophagy in Cancer Progression

Co-investigatorCIHR2022Project Grant

Principal investigators: Nabi, Ivan R

Keywords: Autophagy; Cancer Progression; Endoplasmic Reticulum; Gp78; Machine Learning; Membrane Contact Sites; Mitochondria; Reactive Oxygen Species; Super-Resolution Microscopy

$952,426

tauSTED: Fluorescent Lifetime Upgrade for Stimulated Emission Depletion Super-Resolution Microscope

Co-investigatorNSERC2022Research Tools and Instruments

Principal investigators: Nabi, Ivan

$150,000

COVID-19 Variant Supplement - Computer-aided discovery of synergistic drug combinations with Remdevisir for COVID-19 through mechanism-based drug repurposing and combinatorial organoid screening.

Co-investigatorCIHR2021Operating Grant: SARS-CoV-2 variants supplement stream 1

Principal investigators: Cherkasov, Artem; Jean, François

Keywords: Drug And Natural Product Repurposing; Enable High-Quality Data On Existing Covid-19 Treatment; Enhance Canadian Engagement In Large Scale Trials; Enhance Engagement With Middle-Income & Low-Income Countries; Evidences For Clinical & Public Health Decision Makers; Idenitfy Remdesivir Synergistic Drugs; National And International Coordination For Sharing Of Data; New Covid-19 Treatment For Interventions And Prevention; Rapid Deployment Of Existing Research Platforms; Sex As A Biological Variable

$50,000

COVID-19 Variant Network - Computer-aided discovery of synergistic drug combinations with Remdevisir for COVID-19 through mechanism-based drug repurposing and combinatorial organoid screening.

Co-investigatorCIHR2021Operating Grant: SARS-CoV-2 variants supplement stream 2

Principal investigators: Cherkasov, Artem; Jean, François

$90,000

Using super-resolution microscopy to define the role of caveolin-1 in cancer

Principal investigatorCIHR2020Project Grant

Principal investigators: Nabi, Ivan R; Hamarneh, Ghassan

Keywords: Caveolae; Caveolin-1; Focal Adhesion; Machine Learning; Pkm2; Super-Resolution Microscopy; Tumor Cell Metabolism; Tumor Cell Migration

$910,350

Computer-aided discovery of synergistic drug combinations with Remdevisir for COVID-19 through mechanism-based drug repurposing and combinatorial organoid screening.

Co-investigatorCIHR2020Operating Grant: COVID-19 Rapid Research Funding Opportunity - Therapeutics

Principal investigators: Cherkasov, Artem; Jean, François

$2,109,120

Deep learning for medical computer vision: Beyond more data and more computing power

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Hamarneh, Ghassan

Keywords: medical image analysis; medical computer vision; machine/deep learning for biomedical imaging

$330,000

Artificial intelligence-based imaging platform for COVID-19 infection of organoids_x000d_ _x000d_ _x000d_

Co-investigatorNSERC2020Alliance Grants

Principal investigators: Nabi, Ivan

$50,000

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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Ghassan Hamarneh

Research

Latest papers

Latest funding

Adversarial Erasing Enhanced Multiple Instance Learning (siMILe): Discriminative Identification of Oligomeric Protein Structures in Single Molecule Localization Microscopy.

Diffusing caveolin-1 scaffolds regulate mechanosignalling.

Physician-in-the-Loop Active Learning in Radiology Artificial Intelligence Workflows: Opportunities, Challenges, and Future Directions.

HDCluster: High-Degree Graph Clustering for Robust Analysis of Single Molecule Localization Microscopy.

Enhanced direct joint attenuation and scatter correction of whole-body PET images via context-aware deep networks.

Closing the multichannel gap through computational reconstruction of interaction in super-resolution microscopy.

Comparative Analysis of SPLICS and MCS-DETECT for Detecting Mitochondria-ER Contact Sites (MERCs).

SuperResNET: Model-Free Single-Molecule Network Analysis Software Achieves Molecular Resolution of Nup96.

SuperResNET - single-molecule network analysis detects changes to clathrin structure induced by small-molecule inhibitors.

Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets.

Enhanced multicolor STED super-resolution microscopy to study organelle dynamics and interaction

Stakeholder perspectives and impacts of explainable artificial intelligence: A case study in a British Columbia health authority

Role of MERCs and Mitophagy in Cancer Progression

tauSTED: Fluorescent Lifetime Upgrade for Stimulated Emission Depletion Super-Resolution Microscope

COVID-19 Variant Supplement - Computer-aided discovery of synergistic drug combinations with Remdevisir for COVID-19 through mechanism-based drug repurposing and combinatorial organoid screening.

COVID-19 Variant Network - Computer-aided discovery of synergistic drug combinations with Remdevisir for COVID-19 through mechanism-based drug repurposing and combinatorial organoid screening.

Using super-resolution microscopy to define the role of caveolin-1 in cancer

Computer-aided discovery of synergistic drug combinations with Remdevisir for COVID-19 through mechanism-based drug repurposing and combinatorial organoid screening.

Deep learning for medical computer vision: Beyond more data and more computing power

Artificial intelligence-based imaging platform for COVID-19 infection of organoids_x000d_ _x000d_ _x000d_

Frequent collaborators

Rafeef Garbi

Arman Rahmim

Yue Wang

Anna Celler

Marc Gaudet

Xiaoxiao Li

David Huntsman

Hao Zhang

Martin Ester

Farid Golnaraghi

Majid Shokoufi

Francois Benard

Harvey Lui

Marinko Sarunic

Vann Chau