Faculty profile

Elijah Van Houten

ResearcherGénie mécaniqueUniversité de Sherbrooke

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

Elijah Van Houten

Researcher

Génie mécanique

Health Sciences

Université de Sherbrooke

Sherbrooke, Quebec, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
13 publications in the last five years, latest in 2025.
Senior (last) author on 4 recent papers, a sign of leading a research group.
Principal investigator on 5 research grants (3 NSERC, 2 CIHR), most recently in 2023.

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

Early Self-Detection Of Breast Cancer Femtech Novel Imaging/Mammography Technology

Latest papers

Wide-band multifrequency MR elastography with a fractional viscoelastic model and nonlinear inversion for enhanced viscoelastic parameter mapping.
Acta biomaterialia · 2025 · senior author
Multifrequency MR elastography for grading inflammation in metabolic dysfunction-associated steatotic liver disease: a pilot study.
Radiology advances · 2025
Distinguishing shear and tensile myocardial wall stiffness using ex vivo anisotropic Magnetic Resonance Elastography.
Acta biomaterialia · 2025 · senior author

All 15 publications

Latest funding

Automating data acquisition and data processing pipeline via artificial intelligence and machine learning approaches to allow at-home use of a novel breast cancer screening method employing bra-based elastography imaging.
CIHR · 2023 · Nominated PI
$150,000
Infrastructure de synthèse additive de précision
NSERC · 2022 · Co-investigator
$136,606
Wearable Technology for Early Detection of Breast Cancer
CIHR · 2020 · Nominated PI
$150,000

All 9 grants and awards

15 publications.

Wide-band multifrequency MR elastography with a fractional viscoelastic model and nonlinear inversion for enhanced viscoelastic parameter mapping.

Baradaran Najar A, Gilbert G, Li N, He Z, Ghazavi S, Nguyen BN, Fohlen A, Cloutier G, Tang A, Van Houten E

Acta biomaterialia2025Senior author

DOI: 10.1016/j.actbio.2025.10.052 PMID: 41173134

Multifrequency MR elastography for grading inflammation in metabolic dysfunction-associated steatotic liver disease: a pilot study.

Baradaran Najar A, Gilbert G, Volniansky A, Karam E, Fohlen A, Barat M, Montagnon E, Castel H, Giard JM, Sylvestre MP, Nguyen BN, Cloutier G, Van Houten E, Tang A

Radiology advances2025

DOI: 10.1093/radadv/umaf038 PMID: 41394429

Distinguishing shear and tensile myocardial wall stiffness using ex vivo anisotropic Magnetic Resonance Elastography.

Tous C, Flé G, Rapacchi S, McGarry M, Bayly P, Paulsen K, Johnson CL, Van Houten E

Acta biomaterialia2025Senior author

DOI: 10.1016/j.actbio.2025.06.031 PMID: 40541764

Evaluating the Performance and Repeatability of Poroelastic and Poroviscoelastic Models in Intrinsic MR Elastography.

Burman Ingeberg M, Van Houten E, Zwanenburg JJM

NMR in biomedicine2025

DOI: 10.1002/nbm.70073 PMID: 40474828

MR Elastography for Classification of Focal Liver Lesions Using Viscoelastic Parameters: A Pilot Study Based on Intrinsic and Extrinsic Activations.

Baradaran Najar A, Gilbert G, Karam E, Volniansky A, Fohlen A, Barat M, Montagnon E, Castel H, Giard JM, Nguyen BN, Cloutier G, Tang A, Van Houten E

Journal of magnetic resonance imaging : JMRI2025Senior author

DOI: 10.1002/jmri.29633 PMID: 39446078

Characterizing the Myoarchitecture of the Supraspinatus and Infraspinatus Muscles With MRI Using Diffusion Tensor Imaging.

Tous C, Jodoin A, Pontré B, Grabs D, Begon M, Bureau NJ, Van Houten E

Journal of magnetic resonance imaging : JMRI2024Senior author

DOI: 10.1002/jmri.28840 PMID: 37316960

Estimating the viscoelastic properties of the human brain at 7 T MRI using intrinsic MRE and nonlinear inversion.

Burman Ingeberg M, Van Houten E, Zwanenburg JJM

Human brain mapping2023

DOI: 10.1002/hbm.26524 PMID: 37909395

General guidelines for the performance of viscoelastic property identification in elastography: A Monte-Carlo analysis from a closed-form solution.

Van Houten E, Geymonat G, Krasucki F, Wattrisse B

International journal for numerical methods in biomedical engineering2023First author

DOI: 10.1002/cnm.3741 PMID: 37313593

Imaging the subcellular viscoelastic properties of mouse oocytes.

Flé G, Van Houten E, Rémillard-Labrosse G, FitzHarris G, Cloutier G

Proceedings of the National Academy of Sciences of the United States of America2023

DOI: 10.1073/pnas.2213836120 PMID: 37186851

Transversely-isotropic brain in vivo MR elastography with anisotropic damping.

Jyoti D, McGarry M, Caban-Rivera DA, Van Houten E, Johnson CL, Paulsen K

Journal of the mechanical behavior of biomedical materials2023

DOI: 10.1016/j.jmbbm.2023.105744 PMID: 36893687

Automating data acquisition and data processing pipeline via artificial intelligence and machine learning approaches to allow at-home use of a novel breast cancer screening method employing bra-based elastography imaging.

Nominated PICIHR2023Catalyst Grant: NWHRI: Innovation Fund - Biomedical Discovery Grants

Principal investigators: Van Houten, Elijah E; Hétu, Jessika

Keywords: Early Self-Detection Of Breast Cancer; Femtech

$150,000

Infrastructure de synthèse additive de précision

Co-investigatorNSERC2022Research Tools and Instruments

Principal investigators: Quaegebeur, Nicolas

$136,606

Wearable Technology for Early Detection of Breast Cancer

Nominated PICIHR2020Op Gr: Spark Grants in Novel Technologies in Cancer Prevention & Early Detection

Principal investigators: Van Houten, Elijah E

Keywords: Novel Imaging/Mammography Technology

$150,000

Characterization and Mapping of Mechanical Properties in Complex Materials and Geometries

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: VanHouten, Elijah

$162,000

An ultrafast camera for micro-viscoelasticity imaging of single cells

Co-investigatorNSERC2018Research Tools and Instruments

Principal investigators: Cloutier, Guy

$150,000

Measuring sport equipment properties for customer recommendation and design support

Co-investigatorNSERC2018Collaborative Research and Development Grants

Principal investigators: LussierDesbiens, Alexis

$152,307

Développement d'une méthode d'évaluation de masques de gardien par DIC

Principal investigatorNSERC2018Engage Grants Program

Principal investigators: VanHouten, Elijah

$25,000

Caméras haute vitesse avec logiciel de contraste interférentiel différentiel

Co-investigatorNSERC2017Research Tools and Instruments

Principal investigators: Rancourt, Denis

$150,000

Imaging the Mechanical Properties of Soft Tissue/L'imagerie des caractéristiques mécaniques des tissus mous.

Principal investigatorNSERC2013Discovery Grants Program - Individual

Principal investigators: VanHouten, Elijah

$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.

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their CIHR grant from 2023

Subject: Prospective PhD student: Early Self-Detection Of Breast Cancer Dear Professor Van Houten, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Wide-band multifrequency MR elastography with a fractional viscoelastic model and nonlinear inversion for enhanced viscoelastic parameter mapping." (2025), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your CIHR-funded project "Automating data acquisition and data processing pipeline via artificial intelligence and machine learning approaches to allow at-home use of a novel breast cancer screening method employing bra-based elastography imaging." (2023), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]

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Elijah Van Houten

Research

Latest papers

Latest funding

Wide-band multifrequency MR elastography with a fractional viscoelastic model and nonlinear inversion for enhanced viscoelastic parameter mapping.

Multifrequency MR elastography for grading inflammation in metabolic dysfunction-associated steatotic liver disease: a pilot study.

Distinguishing shear and tensile myocardial wall stiffness using ex vivo anisotropic Magnetic Resonance Elastography.

Evaluating the Performance and Repeatability of Poroelastic and Poroviscoelastic Models in Intrinsic MR Elastography.

MR Elastography for Classification of Focal Liver Lesions Using Viscoelastic Parameters: A Pilot Study Based on Intrinsic and Extrinsic Activations.

Characterizing the Myoarchitecture of the Supraspinatus and Infraspinatus Muscles With MRI Using Diffusion Tensor Imaging.

Estimating the viscoelastic properties of the human brain at 7 T MRI using intrinsic MRE and nonlinear inversion.

General guidelines for the performance of viscoelastic property identification in elastography: A Monte-Carlo analysis from a closed-form solution.

Imaging the subcellular viscoelastic properties of mouse oocytes.

Transversely-isotropic brain in vivo MR elastography with anisotropic damping.

Automating data acquisition and data processing pipeline via artificial intelligence and machine learning approaches to allow at-home use of a novel breast cancer screening method employing bra-based elastography imaging.

Infrastructure de synthèse additive de précision

Wearable Technology for Early Detection of Breast Cancer

Characterization and Mapping of Mechanical Properties in Complex Materials and Geometries

An ultrafast camera for micro-viscoelasticity imaging of single cells

Measuring sport equipment properties for customer recommendation and design support

Développement d'une méthode d'évaluation de masques de gardien par DIC

Caméras haute vitesse avec logiciel de contraste interférentiel différentiel

Imaging the Mechanical Properties of Soft Tissue/L'imagerie des caractéristiques mécaniques des tissus mous.

Frequent collaborators

Guy Cloutier

An Tang

Greg Fitzharris

Kevin Whittingstall

Elijah Van Houten

Research

Latest papers

Latest funding

Wide-band multifrequency MR elastography with a fractional viscoelastic model and nonlinear inversion for enhanced viscoelastic parameter mapping.

Multifrequency MR elastography for grading inflammation in metabolic dysfunction-associated steatotic liver disease: a pilot study.

Distinguishing shear and tensile myocardial wall stiffness using ex vivo anisotropic Magnetic Resonance Elastography.

Evaluating the Performance and Repeatability of Poroelastic and Poroviscoelastic Models in Intrinsic MR Elastography.

MR Elastography for Classification of Focal Liver Lesions Using Viscoelastic Parameters: A Pilot Study Based on Intrinsic and Extrinsic Activations.

Characterizing the Myoarchitecture of the Supraspinatus and Infraspinatus Muscles With MRI Using Diffusion Tensor Imaging.

Estimating the viscoelastic properties of the human brain at 7&#x2009;T MRI using intrinsic MRE and nonlinear inversion.

General guidelines for the performance of viscoelastic property identification in elastography: A Monte-Carlo analysis from a closed-form solution.

Imaging the subcellular viscoelastic properties of mouse oocytes.

Transversely-isotropic brain in vivo MR elastography with anisotropic damping.

Automating data acquisition and data processing pipeline via artificial intelligence and machine learning approaches to allow at-home use of a novel breast cancer screening method employing bra-based elastography imaging.

Infrastructure de synthèse additive de précision

Wearable Technology for Early Detection of Breast Cancer

Characterization and Mapping of Mechanical Properties in Complex Materials and Geometries

An ultrafast camera for micro-viscoelasticity imaging of single cells

Measuring sport equipment properties for customer recommendation and design support

Développement d'une méthode d'évaluation de masques de gardien par DIC

Caméras haute vitesse avec logiciel de contraste interférentiel différentiel

Imaging the Mechanical Properties of Soft Tissue/L'imagerie des caractéristiques mécaniques des tissus mous.

Frequent collaborators

Guy Cloutier

An Tang

Greg Fitzharris

Kevin Whittingstall

Estimating the viscoelastic properties of the human brain at 7 T MRI using intrinsic MRE and nonlinear inversion.