Roberto de Souza, University of Calgary

Research

data integration domain adaptation image processing image reconstruction machine learning machine learning operationalization magnetic resonance imaging

Latest funding

Increasing the scanning time efficiency of magnetic resonance imaging systems through data integration and deep learning
NSERC · 2022 · Principal investigator
$100,000

All 1 grants and awards

Increasing the scanning time efficiency of magnetic resonance imaging systems through data integration and deep learning

Principal investigatorNSERC2022Alliance Grants

Principal investigators: de Souza, Roberto RM

Keywords: data integration; domain adaptation; image processing; image reconstruction; machine learning; machine learning operationalization; magnetic resonance imaging

$100,000

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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Applying for

Mention their NSERC grant from 2022

Subject: Prospective PhD student: data integration Dear Professor de Souza, 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]. Your research on data integration 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 NSERC-funded project "Increasing the scanning time efficiency of magnetic resonance imaging systems through data integration and deep learning" (2022), 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]