This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Alberta directory, so their courses and email address may be missing. Find their university profile.
Latest papers
The influence of prism adaptation on spatial biases is not dependent on which hand is used to adapt.
Experimental brain research · 2026
Automatic deep learning segmentation of the hippocampus on high-resolution diffusion magnetic resonance imaging and its application to the healthy lifespan.
NMR in biomedicine · 2024 · senior author
Low-Rank Plus Sparse Decomposition of fMRI Data With Application to Alzheimer's Disease.
Frontiers in neuroscience · 2022
Latest funding
- $156,000
Sparse methods on manifolds of images and shapes for significant anatomy detection linked to disease
NSERC · 2016 · Principal investigator
- $95,000
A diffusion-based statistical shape model for medical image analysis
NSERC · 2011 · Principal investigator
16 publications.
The influence of prism adaptation on spatial biases is not dependent on which hand is used to adapt.
Slade SA, Kowalewski J, Cobzas D, Striemer CL
Automatic deep learning segmentation of the hippocampus on high-resolution diffusion magnetic resonance imaging and its application to the healthy lifespan.
Miller D, Efird C, Solar KG, Beaulieu C, Cobzas D
Low-Rank Plus Sparse Decomposition of fMRI Data With Application to Alzheimer's Disease.
Tu W, Fu F, Kong L, Jiang B, Cobzas D, Huang C
Stable Anatomy Detection in Multimodal Imaging Through Sparse Group Regularization: A Comparative Study of Iron Accumulation in the Aging Brain.
Pietrosanu M, Zhang L, Seres P, Elkady A, Wilman AH, Kong L, Cobzas D
Evaluation of automated computed tomography segmentation to assess body composition and mortality associations in cancer patients.
Cespedes Feliciano EM, Popuri K, Cobzas D, Baracos VE, Beg MF, Khan AD, Ma C, Chow V, Prado CM, Xiao J, Liu V, Chen WY, Meyerhardt J, Albers KB, Caan BJ
Five year iron changes in relapsing-remitting multiple sclerosis deep gray matter compared to healthy controls.
Elkady AM, Cobzas D, Sun H, Seres P, Blevins G, Wilman AH
Developmental Hip Dysplasia Diagnosis at Three-dimensional US: A Multicenter Study.
Zonoobi D, Hareendranathan A, Mostofi E, Mabee M, Pasha S, Cobzas D, Rao P, Dulai SK, Kapur J, Jaremko JL
Discriminative analysis of regional evolution of iron and myelin/calcium in deep gray matter of multiple sclerosis and healthy subjects.
Elkady AM, Cobzas D, Sun H, Blevins G, Wilman AH
Progressive iron accumulation across multiple sclerosis phenotypes revealed by sparse classification of deep gray matter.
Elkady AM, Cobzas D, Sun H, Blevins G, Wilman AH
Subcortical gray matter segmentation and voxel-based analysis using transverse relaxation and quantitative susceptibility mapping with application to multiple sclerosis.
Cobzas D, Sun H, Walsh AJ, Lebel RM, Blevins G, Wilman AH
Sparse methods on manifolds of images and shapes for significant anatomy detection linked to disease
Principal investigators: Cobzas, Dana
A diffusion-based statistical shape model for medical image analysis
Principal investigators: Cobzas, Dana
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
- Linglong Kong and Bei Jiang: 12 shared papers
- Linglong Kong and Dana Cobzas: 2 shared papers
- Martin Jagersand and Dana Cobzas: 2 shared papers
- Christian Beaulieu and Linglong Kong: 1 shared paper
- Christian Beaulieu and Dana Cobzas: 1 shared paper
- Linglong Kong and Wei Tu: 1 shared paper
- Bei Jiang and Dana Cobzas: 1 shared paper
- Bei Jiang and Wei Tu: 1 shared paper
- Dana Cobzas and Karteek Popuri: 1 shared paper
- Dana Cobzas and Wei Tu: 1 shared paper
- Computing Science
- Mathematical and Statistical Sciences
- Department of Mathematical and Statistical Sciences
- Biomedical Engineering
- Computer Science
- Public Health Sciences
Co-authors at University of Alberta, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Linglong Kong
Mathematical and Statistical Sciences
2 shared papers, latest 2022
Martin Jagersand
Computing Science
2 shared papers, latest 2012
Wei Tu
Public Health Sciences
1 shared papers, latest 2022
Karteek Popuri
Computer Science
1 shared papers, latest 2020
Christian Beaulieu
Biomedical Engineering
1 shared papers, latest 2024
Bei Jiang
Department of Mathematical and Statistical Sciences
1 shared papers, latest 2022
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.