Dana Cobzas
Affiliations: | Computing Science | University of Alberta, Edmonton, Alberta, Canada |
Area:
Electronics and Electrical EngineeringGoogle:
"Dana Cobzas"
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Pietrosanu M, Zhang L, Seres P, et al. (2021) Stable Anatomy Detection in Multimodal Imaging Through Sparse Group Regularization: A Comparative Study of Iron Accumulation in the Aging Brain. Frontiers in Human Neuroscience. 15: 641616 |
| Elkady AM, Cobzas D, Sun H, et al. (2019) Five year iron changes in relapsing-remitting multiple sclerosis deep gray matter compared to healthy controls. Multiple Sclerosis and Related Disorders. 33: 107-115 |
| Elkady AM, Cobzas D, Sun H, et al. (2018) Discriminative analysis of regional evolution of iron and myelin/calcium in deep gray matter of multiple sclerosis and healthy subjects. Journal of Magnetic Resonance Imaging : Jmri |
| Zhang L, Cobzas D, Wilman AH, et al. (2017) Significant Anatomy Detection through Sparse Classification: A Comparative Study. Ieee Transactions On Medical Imaging |
| Elkady AM, Cobzas D, Sun H, et al. (2017) Progressive iron accumulation across multiple sclerosis phenotypes revealed by sparse classification of deep gray matter. Journal of Magnetic Resonance Imaging : Jmri |
| Fujiwara E, Kmech JA, Cobzas D, et al. (2017) Cognitive Implications of Deep Gray Matter Iron in Multiple Sclerosis. Ajnr. American Journal of Neuroradiology |
| Popuri K, Cobzas D, Esfandiari N, et al. (2016) Body Composition Assessment in Axial CT Images Using FEM-Based Automatic Segmentation of Skeletal Muscle. Ieee Transactions On Medical Imaging. 35: 512-20 |
| Cobzas D, Sun H, Walsh AJ, et al. (2015) Subcortical gray matter segmentation and voxel-based analysis using transverse relaxation and quantitative susceptibility mapping with application to multiple sclerosis. Journal of Magnetic Resonance Imaging : Jmri |
| Rudyanto RD, Kerkstra S, van Rikxoort EM, et al. (2014) Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. Medical Image Analysis. 18: 1217-32 |
| Chung H, Cobzas D, Birdsell L, et al. (2009) Automated segmentation of muscle and adipose tissue on CT images for human body composition analysis Proceedings of Spie. 7261 |