This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Université Laval directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Integrating chemotherapy, radiotherapy, and O6-methylguanine-DNA methyltransferase (MGMT) status with deep-learning cellular tumor volumetry sharpens prediction of glioblastoma recurrence on postoperative MRI.
Neuro-oncology advances · 2026 · senior author
The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset.
Scientific data · 2026
The University of California San Diego Post-Treatment Glioblastoma (UCSD-PTGBM) annotated multimodal MRI Dataset.
Scientific data · 2026 · first author
Latest funding
- $12,500
Multiscale modeling of Magnetic Resonance Imaging
NSERC · 2024 · Principal investigator
- $32,000
Multiscale modeling of Magnetic Resonance Imaging
NSERC · 2024 · Principal investigator
- $600,000
Des Tunnits aux inuits : patrimoines archéologique et historique de la côte nord-est de la Péninsule d'Ungava, au Nunavik
SSHRC · 2000 · Co-investigator
9 publications.
Integrating chemotherapy, radiotherapy, and O6-methylguanine-DNA methyltransferase (MGMT) status with deep-learning cellular tumor volumetry sharpens prediction of glioblastoma recurrence on postoperative MRI.
Belbadaoui T, Forester A, Khalvati F, Gagnon L
The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset.
LaBella D, Schumacher K, Mix M, Leu K, McBurney-Lin S, Nedelec P, Villanueva-Meyer J, Raleigh DR, Shapey J, Vercauteren T, Chia K, Ivory M, Barfoot T, Al-Salihi O, Leu J, Halasz LM, Velichko Y, Wang C, Kirkpatrick JP, Floyd SR, Reitman ZJ, Mullikin TC, Vaios EJ, Bagci U, Sachdev S, Hattangadi-Gluth JA, Seibert TM, Farid N, Puett C, Pease MW, Shiue K, Anwar SM, Faghani S, Taylor P, Warman P, Albrecht J, Jakab A, Moassefi M, Chung V, Chai R, Aristizabal A, Karargyris A, Kassem H, Pati S, Sheller M, Maleki N, Saluja R, Kofler F, Schwarz CG, Lohmann P, Vollmuth P, Gagnon L, Adewole M, Hongwei B L, Kazerooni AF, Tahon NH, Anazodo U, Moawad AW, Menze B, Linguraru MG, Aboian M, Wiestler B, Baid U, Conte GM, Rauschecker AM, Nada A, Abayazeed AH, Huang R, de Verdier MC, Rudie JD, Bakas S, Calabrese E
The University of California San Diego Post-Treatment Glioblastoma (UCSD-PTGBM) annotated multimodal MRI Dataset.
Gagnon L, Gupta D, Nguyen U, Correia de Verdier M, Saluja R, Mastorakos G, White N, Goodwill V, McDonald CR, Beaumont T, Conlin C, Seibert TM, Hattangadi-Gluth J, Kesari S, Schulte JD, Piccioni D, Schmainda KM, Farid N, Dale AM, Rudie JD
Comparison of compartmental analytical Blood-Oxygen-Level-Dependent functional Magnetic Resonance Imaging models against Monte Carlo simulations performed over cortical micro-angiograms.
Charest J, Walsh M, Genois É, Sévigny E, Schwarz PO, Gagnon L, Desjardins M
Deep learning of chest X-rays can predict mechanical ventilation outcome in ICU-admitted COVID-19 patients.
Gourdeau D, Potvin O, Biem JH, Cloutier F, Abrougui L, Archambault P, Chartrand-Lefebvre C, Dieumegarde L, Gagné C, Gagnon L, Giguère R, Hains A, Le H, Lemieux S, Lévesque MH, Nepveu S, Rosenbloom L, Tang A, Yang I, Duchesne N, Duchesne S
Modeling of vascular space occupancy and BOLD functional MRI from first principles using real microvascular angiograms.
Genois É, Gagnon L, Desjardins M
Dependence of the MR signal on the magnetic susceptibility of blood studied with models based on real microvascular networks.
Cheng X, Berman AJL, Polimeni JR, Buxton RB, Gagnon L, Devor A, Sakadžić S, Boas DA
Validation and optimization of hypercapnic-calibrated fMRI from oxygen-sensitive two-photon microscopy.
Gagnon L, Sakadžić S, Lesage F, Pouliot P, Dale AM, Devor A, Buxton RB, Boas DA
Psychogenic or neurogenic origin of agrammatism and foreign accent syndrome in a bipolar patient: a case report.
Poulin S, Macoir J, Paquet N, Fossard M, Gagnon L
Multiscale modeling of Magnetic Resonance Imaging
Principal investigators: Gagnon, Louis
Keywords: magnetic resonance imaging; microscopic modeling; monte carlo modeling; deep learning; diffusion mri
Multiscale modeling of Magnetic Resonance Imaging
Principal investigators: Gagnon, Louis
Keywords: magnetic resonance imaging; microscopic modeling; monte carlo modeling; deep learning; diffusion mri
Des Tunnits aux inuits : patrimoines archéologique et historique de la côte nord-est de la Péninsule d'Ungava, au Nunavik
Keywords: archéologie;anthropologie et histoire;paléoenvironnements;conservation et gesion du patrimoine;culture et art inuits;tourisme et développpement en milieu nordique
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
- Simon Duchesne and Patrick Archambault: 2 shared papers
- Simon Duchesne and Louis Gagnon: 1 shared paper
- Patrick Archambault and Louis Gagnon: 1 shared paper
- Farzad Khalvati and Louis Gagnon: 1 shared paper
- Udunna Anazodo and Louis Gagnon: 1 shared paper
- Radiology and Nuclear Medicine
- Department of Medical Imaging
- Family Medicine and Emergency Medicine
- Neurology and Neurosurgery
Co-authors at Université Laval, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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