This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a St. Francis Xavier University directory, so their courses may be missing. Find their university profile.
Latest papers
Developmental reorganization of functional and structural connectivity in children's language networks is consistent with interactive specialization.
Brain and language · 2026 · senior author
Evaluating data heterogeneity's impact on convolutional neural network performance in medical imaging.
International journal of computer assisted radiology and surgery · 2026
Gender effects and racial biases in mate selection as revealed by machine learning.
Scientific reports · 2025 · senior author
Latest funding
- $10,000
Towards identification of patient populations to characterize with Cortical Morphological Congruence
CIHR · 2023 · Nominated PI
- $12,500
Methods for reliable machine learning with applications in medical imaging
NSERC · 2019 · Principal investigator
- $138,000
Methods for reliable machine learning with applications in medical imaging
NSERC · 2019 · Principal investigator
45 publications.
Developmental reorganization of functional and structural connectivity in children's language networks is consistent with interactive specialization.
Mattie D, Peña-Castillo L, Levman J
Evaluating data heterogeneity's impact on convolutional neural network performance in medical imaging.
Valen J, Yang L, Levman J, Jafarpisheh N, Wang C, Tyrrell PN
Gender effects and racial biases in mate selection as revealed by machine learning.
Hastings-James A, Hinman AJ, Berger D, Levman J
Factors Affecting Macro-Structural Development in the Cerebral Cortex: The Potential Role of Tissue Removal Through Pruning and Apoptosis.
Levman J
Machine Learning and Feature Selection in Pediatric Appendicitis.
Kendall J, Gaspar G, Berger D, Levman J
Identifying Cortical Molecular Biomarkers Potentially Associated with Learning in Mice Using Artificial Intelligence.
Huang X, Gauthier C, Berger D, Cai H, Levman J
Cancer screening: recent developments and future directions.
Levman J, Broza YY
Structural Magnetic Resonance Imaging-Based Surface Morphometry Analysis of Pediatric Down Syndrome.
Levman J, McCann B, Baumer N, Lam MY, Shiohama T, Cogger L, MacDonald A, Takahashi E
A Brain Morphometry Study with Across-Site Harmonization Using a ComBat-Generalized Additive Model in Children and Adolescents.
Shiohama T, Maikusa N, Kawaguchi M, Natsume J, Hirano Y, Saito K, Takanashi JI, Levman J, Takahashi E, Matsumoto K, Yokota H, Hattori S, Tsujimura K, Sawada D, Uchida T, Takatani T, Fujii K, Naganawa S, Sato N, Hamada H
Random matrix theory tools for the predictive analysis of functional magnetic resonance imaging examinations.
Berger D, Matharoo GS, Levman J
Towards identification of patient populations to characterize with Cortical Morphological Congruence
Principal investigators: Levman, Jacob E
Keywords: Congruence; Cortex; Magnetic Resonance Imaging; Morphology; Neurodevelopment; Quantitative Analyses
Methods for reliable machine learning with applications in medical imaging
Principal investigators: Levman, Jacob
Methods for reliable machine learning with applications in medical imaging
Principal investigators: Levman, Jacob
Bioinformatics
Principal investigators: Levman, Jacob
Keywords: CRC
Bioinformatics
Principal investigators: Levman, Jacob
Bioinformatics
Principal investigators: Levman, Jacob
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
- Pascal Tyrrell and Pascal Tyrrell: 12 shared papers
- Anne Martel and Jacob Levman: 1 shared paper
- Pascal Tyrrell and Jacob Levman: 1 shared paper
- Jacob Levman and Pascal Tyrrell: 1 shared paper
- Department of Medical Biophysics
- Biomedical Engineering
- Department of Medical Imaging
- Other
Co-authors at St. Francis Xavier University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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