This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a McGill University directory, so their courses may be missing. Find their university profile.
Latest papers
A 4D biomechanical lung phantom for joint segmentation/registration evaluation.
Physics in medicine and biology · 2016
Axonal injury in the cerebral normal-appearing white matter of patients with multiple sclerosis is related to concurrent demyelination in lesions but not to concurrent demyelination in normal-appearing white matter.
NeuroImage · 2006
The role of edema and demyelination in chronic T1 black holes: a quantitative magnetization transfer study.
Journal of magnetic resonance imaging : JMRI · 2005 · first author
Latest funding
- $150,000
Magnetic Resonance Imaging (MRI) and Artificial Intelligence (AI) can improve preoperative malignancy risk prediction of ovarian masses.
CIHR · 2023 · Co-investigator
- $102,000
Physiological magnetic resonance imaging methods for cancer applications
NSERC · 2022 · Principal investigator
- $477,815
Unmasking brain injury: Ultra high-resolution, distortion-free, unobstructed imaging of grey matter in mild and moderate traumatic brain injury using multi-echo techniques
CIHR · 2016 · Principal investigator
3 publications.
A 4D biomechanical lung phantom for joint segmentation/registration evaluation.
Markel D, Levesque I, Larkin J, Léger P, El Naqa I
Axonal injury in the cerebral normal-appearing white matter of patients with multiple sclerosis is related to concurrent demyelination in lesions but not to concurrent demyelination in normal-appearing white matter.
Narayanan S, Francis SJ, Sled JG, Santos AC, Antel S, Levesque I, Brass S, Lapierre Y, Sappey-Marinier D, Pike GB, Arnold DL
The role of edema and demyelination in chronic T1 black holes: a quantitative magnetization transfer study.
Levesque I, Sled JG, Narayanan S, Santos AC, Brass SD, Francis SJ, Arnold DL, Pike GB
Magnetic Resonance Imaging (MRI) and Artificial Intelligence (AI) can improve preoperative malignancy risk prediction of ovarian masses.
Principal investigators: Reinhold, Caroline
Keywords: Adnexal Masses; Artificial Intelligence; Biomarkers; Detection; Histopathology; Magnetic Resonance Imaging; Ovarian-Adnexal Imaging Reporting System(O-Rads); Ultrasound
Physiological magnetic resonance imaging methods for cancer applications
Principal investigators: Levesque, Ives
Unmasking brain injury: Ultra high-resolution, distortion-free, unobstructed imaging of grey matter in mild and moderate traumatic brain injury using multi-echo techniques
Principal investigators: Farivar-Mohseni, Reza; Levesque, Ives R
Keywords: Concussion; Grey Matter; Low Distortion; Mild Tbi; Mri; Multi-Echo; T1; Tbi; Traumatic Brain Injury; Ultra High-Resolution
Integrated Magnetic Resonance Imaging for Radiation Therapy Applications
Principal investigators: Levesque, Ives
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
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