Faculty profile

Roberto Souza

ResearcherElectrical and Software EngineeringUniversity 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.

Roberto Souza

Researcher

Electrical and Software Engineering

Engineering

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.
26 publications in the last five years, latest in 2026.
Senior (last) author on 3 recent papers, a sign of leading a research group.

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

162

Citations

Collaborators

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

Search on Google Scholar

Find them onX · LinkedIn · Bluesky · YouTube

Signals and details

Research

Biomedical Imaging Compressed Sensing Data Fusion Deep Learning Image Analysis Image Reconstruction Inverse Problems Machine Learning

Latest papers

Prediction modeling in transdiagnostic risk: results from the PROCAN study.
Brain imaging and behavior · 2026
Enhancing and accelerating brain MRI through deep learning reconstruction using prior subject-specific imaging.
Magnetic resonance imaging · 2026 · senior author
Responsible AI for Acute Stroke Management.
Stroke · 2026

All 33 publications

33 publications.

Prediction modeling in transdiagnostic risk: results from the PROCAN study.

Shakeel MK, Abouyoussef Z, Metzak PD, Souza R, Long X, Lasby M, Bray S, Goldstein BI, MacQueen G, Wang J, Kennedy SH, Addington J, Lebel C

Brain imaging and behavior2026

DOI: 10.1007/s11682-026-01173-3 PMID: 42373960

Enhancing and accelerating brain MRI through deep learning reconstruction using prior subject-specific imaging.

Shamaei A, Stebner A, Bosshart SL, Ospel J, Ginde G, Bento M, Souza R

Magnetic resonance imaging2026Senior author

DOI: 10.1016/j.mri.2025.110558 PMID: 41274586

Responsible AI for Acute Stroke Management.

Lin J, Aktar M, Baazaoui H, Wegener S, Souza R, Rittner L, Ospel J, Bento M

Stroke2026

DOI: 10.1161/strokeaha.126.053795 PMID: 42751787

GABA+-Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework.

Bugler H, Souza R, Harris AD

Magnetic resonance in medicine2026

DOI: 10.1002/mrm.70398 PMID: 42036785

Development of a machine learning tool to predict deep inspiration breath hold requirement for locoregional right-sided breast radiation therapy patients.

Barrett F, Quirk S, Stenhouse K, Long K, Roumeliotis M, Lee S, Souza R, McGeachy P

Biomedical physics & engineering express2025

DOI: 10.1088/2057-1976/ad9b30 PMID: 39642394

SMART MRS: A Simulated MEGA-PRESS ARTifacts toolbox for GABA-edited MRS.

Bugler H, Shamaei A, Souza R, Harris AD

Magnetic resonance in medicine2025

DOI: 10.1002/mrm.30597 PMID: 40485116

Improving skull-stripping for infant MRI via weakly supervised domain adaptation using adversarial learning.

Omidi A, Shamaei A, Aktar M, King R, Leijser L, Souza R

Computers in biology and medicine2025Senior author

DOI: 10.1016/j.compbiomed.2025.110903 PMID: 40819497

Automated quantitative analysis of peri-articular bone microarchitecture in HR-pQCT knee images.

Neeteson NJ, Hasick SM, Souza R, Boyd SK

Computer methods and programs in biomedicine2025

DOI: 10.1016/j.cmpb.2025.108882 PMID: 40532366

A visual journey through medium vessel occlusion strokes: From diagnosis to treatment.

Stebner A, Bosshart SL, Fujiwara S, Souza R, Bento M, Ospel J

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences2025

DOI: 10.1177/15910199251323117 PMID: 40012538

MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision.

Li J, Zhou Z, Yang J, Pepe A, Gsaxner C, Luijten G, Qu C, Zhang T, Chen X, Li W, Wodzinski M, Friedrich P, Xie K, Jin Y, Ambigapathy N, Nasca E, Solak N, Melito GM, Vu VD, Memon AR, Schlachta C, De Ribaupierre S, Patel R, Eagleson R, Chen X, Mächler H, Kirschke JS, de la Rosa E, Christ PF, Li HB, Ellis DG, Aizenberg MR, Gatidis S, Küstner T, Shusharina N, Heller N, Andrearczyk V, Depeursinge A, Hatt M, Sekuboyina A, Löffler MT, Liebl H, Dorent R, Vercauteren T, Shapey J, Kujawa A, Cornelissen S, Langenhuizen P, Ben-Hamadou A, Rekik A, Pujades S, Boyer E, Bolelli F, Grana C, Lumetti L, Salehi H, Ma J, Zhang Y, Gharleghi R, Beier S, Sowmya A, Garza-Villarreal EA, Balducci T, Angeles-Valdez D, Souza R, Rittner L, Frayne R, Ji Y, Ferrari V, Chatterjee S, Dubost F, Schreiber S, Mattern H, Speck O, Haehn D, John C, Nürnberger A, Pedrosa J, Ferreira C, Aresta G, Cunha A, Campilho A, Suter Y, Garcia J, Lalande A, Vandenbossche V, Van Oevelen A, Duquesne K, Mekhzoum H, Vandemeulebroucke J, Audenaert E, Krebs C, van Leeuwen T, Vereecke E, Heidemeyer H, Röhrig R, Hölzle F, Badeli V, Krieger K, Gunzer M, Chen J, van Meegdenburg T, Dada A, Balzer M, Fragemann J, Jonske F, Rempe M, Malorodov S, Bahnsen FH, Seibold C, Jaus A, Marinov Z, Jaeger PF, Stiefelhagen R, Santos AS, Lindo M, Ferreira A, Alves V, Kamp M, Abourayya A, Nensa F, Hörst F, Brehmer A, Heine L, Hanusrichter Y, Weßling M, Dudda M, Podleska LE, Fink MA, Keyl J, Tserpes K, Kim MS, Elhabian S, Lamecker H, Zukić D, Paniagua B, Wachinger C, Urschler M, Duong L, Wasserthal J, Hoyer PF, Basu O, Maal T, Witjes MJH, Schiele G, Chang TC, Ahmadi SA, Luo P, Menze B, Reyes M, Deserno TM, Davatzikos C, Puladi B, Fua P, Yuille AL, Kleesiek J, Egger J

Biomedizinische Technik. Biomedical engineering2025

DOI: 10.1515/bmt-2024-0396 PMID: 39733351

Something wrong or missing on this profile? Suggest a correction

Roberto Souza

Research

Latest papers

Prediction modeling in transdiagnostic risk: results from the PROCAN study.

Enhancing and accelerating brain MRI through deep learning reconstruction using prior subject-specific imaging.

Responsible AI for Acute Stroke Management.

GABA+-Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework.

Development of a machine learning tool to predict deep inspiration breath hold requirement for locoregional right-sided breast radiation therapy patients.

SMART MRS: A Simulated MEGA-PRESS ARTifacts toolbox for GABA-edited MRS.

Improving skull-stripping for infant MRI via weakly supervised domain adaptation using adversarial learning.

Automated quantitative analysis of peri-articular bone microarchitecture in HR-pQCT knee images.

A visual journey through medium vessel occlusion strokes: From diagnosis to treatment.

MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision.

Frequent collaborators

Mariana Bento

Richard Frayne

Catherine Lebel

JianLi Wang

Johanna Ospel

Signe Bray

Benicio Frey

Geoffrey Hall

Zahinoor Ismail

Roumen Milev

HADI HEMMATI

Amin Komeili

Luc Duong

Roy Eagleson

Stephen Strother

Jonathan Downar

Ashley Harris

Hadi Hemmati

Yunyan Zhang

Valerie Taylor

Andrea Protzner

Katharine Dunlop

Lara Leijser

Sangjune Lee

Roberto Souza

Research

Latest papers

Prediction modeling in transdiagnostic risk: results from the PROCAN study.

Enhancing and accelerating brain MRI through deep learning reconstruction using prior subject-specific imaging.

Responsible AI for Acute Stroke Management.

GABA+-Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework.

Development of a machine learning tool to predict deep inspiration breath hold requirement for locoregional right-sided breast radiation therapy patients.

SMART MRS: A Simulated MEGA-PRESS ARTifacts toolbox for GABA-edited MRS.

Improving skull-stripping for infant MRI via weakly supervised domain adaptation using adversarial learning.

Automated quantitative analysis of peri-articular bone microarchitecture in HR-pQCT knee images.

A visual journey through medium vessel occlusion strokes: From diagnosis to treatment.

MedShapeNet&#xa0;- a large-scale dataset of 3D medical shapes for computer vision.

Frequent collaborators

Mariana Bento

Richard Frayne

Catherine Lebel

JianLi Wang

Johanna Ospel

Signe Bray

Benicio Frey

Geoffrey Hall

Zahinoor Ismail

Roumen Milev

HADI HEMMATI

Amin Komeili

Luc Duong

Roy Eagleson

Stephen Strother

Jonathan Downar

Ashley Harris

Hadi Hemmati

Yunyan Zhang

Valerie Taylor

Andrea Protzner

Katharine Dunlop

Lara Leijser

Sangjune Lee

MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision.