Faculty profile
Matthias Wilms
Back to facultyThis 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 and email address may be missing. Find their university profile.
Research
Latest papers
The Relationship Between Inhibitory Control of Attention and fMRI Functional Connectivity in Children With and Without ADHD.
Journal of attention disorders · 2026
Investigating causal relations between brain morphology and genetic risk variants in Parkinson's disease.
NeuroImage. Clinical · 2026
Digital dementia and testing of cognitive intervention for degenerating neural networks.
NPJ systems biology and applications · 2025
Latest funding
- $64,000
Time Matters: Towards Unified Explainable Machine Learning Models for High-Dimensional and Multimodal Medical Image Data with Temporal Components
NSERC · 2023 · Principal investigator
- $12,500
Time Matters: Towards Unified Explainable Machine Learning Models for High-Dimensional and Multimodal Medical Image Data with Temporal Components
NSERC · 2023 · Principal investigator
- $634,950
Distributed Machine Learning for Diagnosis and Treatment Decision Support of Pediatric Brain Tumors
CIHR · 2021 · Co-investigator
52 publications.
The Relationship Between Inhibitory Control of Attention and fMRI Functional Connectivity in Children With and Without ADHD.
Harkness K, Wilms M, Godfrey KJ, Bray S, Murias K
Investigating causal relations between brain morphology and genetic risk variants in Parkinson's disease.
Dagasso G, Vigneshwaran V, Winder AJ, Souza R, Ohara EY, Wilms M, Forkert ND
Digital dementia and testing of cognitive intervention for degenerating neural networks.
Moore JA, Vigneshwaran V, Winder AJ, Kang C, Wilms M, Forkert ND
Interpretable convolutional neural network for autism diagnosis support in children using structural magnetic resonance imaging datasets.
Casillas Martinez G, Winder A, Stanley EAM, Souza R, Wilms M, Estes M, MacEachern SJ, Forkert ND
Accounting for population structure in deep learning models for genomic analysis.
Dagasso G, Wilms M, Souza R, Forkert ND
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.
Zenk M, Baid U, Pati S, Linardos A, Edwards B, Sheller M, Foley P, Aristizabal A, Zimmerer D, Gruzdev A, Martin J, Shinohara RT, Reinke A, Isensee F, Parampottupadam S, Parekh K, Floca R, Kassem H, Baheti B, Thakur S, Chung V, Kushibar K, Lekadir K, Jiang M, Yin Y, Yang H, Liu Q, Chen C, Dou Q, Heng PA, Zhang X, Zhang S, Khan MI, Azeem MA, Jafaritadi M, Alhoniemi E, Kontio E, Khan SA, Mächler L, Ezhov I, Kofler F, Shit S, Paetzold JC, Loehr T, Wiestler B, Peiris H, Pawar K, Zhong S, Chen Z, Hayat M, Egan G, Harandi M, Isik Polat E, Polat G, Kocyigit A, Temizel A, Tuladhar A, Tyagi L, Souza R, Forkert ND, Mouches P, Wilms M, Shambhat V, Maurya A, Danannavar SS, Kalla R, Anand VK, Krishnamurthi G, Nalawade S, Ganesh C, Wagner B, Reddy D, Das Y, Yu FF, Fei B, Madhuranthakam AJ, Maldjian J, Singh G, Ren J, Zhang W, An N, Hu Q, Zhang Y, Zhou Y, Siomos V, Tarroni G, Passerrat-Palmbach J, Rawat A, Zizzo G, Kadhe SR, Epperlein JP, Braghin S, Wang Y, Kanagavelu R, Wei Q, Yang Y, Liu Y, Kotowski K, Adamski S, Machura B, Malara W, Zarudzki L, Nalepa J, Shi Y, Gao H, Avestimehr S, Yan Y, Akbar AS, Kondrateva E, Yang H, Li Z, Wu HY, Roth J, Saueressig C, Milesi A, Nguyen QD, Gruenhagen NJ, Huang TM, Ma J, Singh HSH, Pan NY, Zhang D, Zeineldin RA, Futrega M, Yuan Y, Conte GM, Feng X, Pham QD, Xia Y, Jiang Z, Luu HM, Dobko M, Carré A, Tuchinov B, Mohy-Ud-Din H, Alam S, Singh A, Shah N, Wang W, Sako C, Bilello M, Ghodasara S, Mohan S, Davatzikos C, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Hess C, Mongan J, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Huang RY, Chang K, To MS, Bhardwaj S, Chong C, Agzarian M, Kozubek M, Lux F, Michálek J, Matula P, Ker Kovský M, Kopr Ivová T, Dostál M, Vybíhal V, Pinho MC, Holcomb J, Metz M, Jain R, Lee MD, Lui YW, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Colen RR, Kotrotsou A, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Bendszus M, Wick W, Mahajan A, Balaña C, Capellades J, Puig J, Choi YS, Lee SK, Chang JH, Ahn SS, Shaykh HF, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, LaMontagne P, Marcus DS, Milchenko M, Nazeri A, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Garrett J, Larson M, Jeraj R, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Sharma S, Tseng TC, Adabi S, Xavier Falcão A, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, Niclou SP, Keunen O, Hau AC, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Luo B, Poisson LM, Wen N, Vallières M, Loutfi MAL, Fortin D, Lepage M, Morón F, Mandel J, Shukla G, Liem S, Alexandre GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Ogbole G, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu Hikima M, Soneye M, Dako F, Dorcas A, Murcia D, Fu E, Haas R, Thompson JA, Ormond DR, Currie S, Fatania K, Frood R, Simpson AL, Peoples JJ, Hu R, Cutler D, Moraes FY, Tran A, Hamghalam M, Boss MA, Gimpel J, Kattil Veettil D, Schmidt K, Cimino L, Price C, Bialecki B, Marella S, Apgar C, Jakab A, Weber MA, Colak E, Kleesiek J, Freymann JB, Kirby JS, Maier-Hein L, Albrecht J, Mattson P, Karargyris A, Shah P, Menze B, Maier-Hein K, Bakas S
Biological heart and brain ageing in subjects with cardiovascular diseases.
Mcavoy E, Wilms M, Forkert ND
Structural network measures reveal the emergence of heavy-tailed degree distributions in lottery ticket multilayer perceptrons.
Kang C, Moore JA, Robertson S, Wilms M, Towlson EK, Forkert ND
A Novel Foundation Model-Based Framework for Multimodal Retinal Age Prediction.
Nielsen C, Wilms M, Forkert ND
Brain Aging in Patients With Cardiovascular Disease From the UK Biobank.
Mcavoy E, Stanley EAM, Winder AJ, Wilms M, Forkert ND
Time Matters: Towards Unified Explainable Machine Learning Models for High-Dimensional and Multimodal Medical Image Data with Temporal Components
Principal investigators: Wilms, Matthias
Keywords: biomedical image analysis; machine learning; spatio-temporal data; multimodal data; neuroimaging; explainable ai
Time Matters: Towards Unified Explainable Machine Learning Models for High-Dimensional and Multimodal Medical Image Data with Temporal Components
Principal investigators: Wilms, Matthias
Distributed Machine Learning for Diagnosis and Treatment Decision Support of Pediatric Brain Tumors
Principal investigators: Forkert, Nils Daniel
Keywords: Distributed Learning; Machine Learning; Pediatric Brain Tumors
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Andrew Demchuk and Mayank Goyal: 34 shared papers
- Oury Monchi and Zahinoor Ismail: 17 shared papers
- Zahinoor Ismail and Matthias Wilms: 7 shared papers
- Richard Frayne and Zahinoor Ismail: 6 shared papers
- Signe Bray and Kara Murias: 6 shared papers
- Oury Monchi and Matthias Wilms: 6 shared papers
- Kyle Kemp and Paul Fairie: 5 shared papers
- Andrew Demchuk and Matthias Wilms: 2 shared papers
- Mayank Goyal and Matthias Wilms: 2 shared papers
- Andrew Demchuk and Richard Frayne: 1 shared paper
- Martin Lepage and Matthias Wilms: 1 shared paper
- Mayank Goyal and Richard Frayne: 1 shared paper
- Sean Dukelow and Matthias Wilms: 1 shared paper
- Richard Frayne and Matthias Wilms: 1 shared paper
- Signe Bray and Matthias Wilms: 1 shared paper
- Kyle Kemp and Matthias Wilms: 1 shared paper
- Paul Fairie and Matthias Wilms: 1 shared paper
- Kara Murias and Matthias Wilms: 1 shared paper
- Clinical Neurosciences
- Community Health Sciences
- Department of Pediatrics
- Psychiatry
- Department of Clinical Neurosciences
- Department of Pediatrics | Developmental Pediatrics
- Médecine nucléaire et radiobiologie
- Other
Co-authors at University of Calgary, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Zahinoor Ismail
Psychiatry
7 shared papers, latest 2025
Oury Monchi
Department of Clinical Neurosciences
6 shared papers, latest 2025
Mayank Goyal
Clinical Neurosciences
2 shared papers, latest 2023
Andrew Demchuk
Clinical Neurosciences
2 shared papers, latest 2023
Signe Bray
Department of Radiology
1 shared papers, latest 2026
Kyle Kemp
Community Health Sciences
1 shared papers, latest 2025
Paul Fairie
Community Health Sciences
1 shared papers, latest 2025
Kara Murias
Department of Pediatrics | Developmental Pediatrics
1 shared papers, latest 2026
Martin Lepage
Médecine nucléaire et radiobiologie
1 shared papers, latest 2025
Sean Dukelow
Clinical Neurosciences
1 shared papers, latest 2020
Richard Frayne
Radiology
1 shared papers, latest 2020
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