Roger C. Tam, Ph.D.
Affiliations: | 2004 | University of British Columbia, Vancouver, Vancouver, BC, Canada |
Area:
Computer ScienceGoogle:
"Roger Tam"Parents
Sign in to add mentor| Wolfgang Heidrich | grad student | 2004 | UBC | |
| (Voronoi ball models for computational shape applications.) | ||||
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. |
| Liu H, Xiang QS, Tam R, et al. (2020) Myelin water imaging data analysis in less than one minute. Neuroimage. 116551 |
| Poloni KM, Oliveira IADd, Tam R, et al. (2020) Brain MR image classification for Alzheimer’s disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses Neurocomputing. 419: 126-135 |
| Abel S, Vavasour I, Lee LE, et al. (2019) Myelin Damage in Normal Appearing White Matter Contributes to Impaired Cognitive Processing Speed in Multiple Sclerosis. Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging |
| Le M, Tang LYW, Hernández-Torres E, et al. (2019) FLAIR improves LesionTOADS automatic segmentation of multiple sclerosis lesions in non-homogenized, multi-center, 2D clinical magnetic resonance images. Neuroimage. Clinical. 23: 101918 |
| Dvorak AV, Ljungberg E, Vavasour IM, et al. (2019) Rapid myelin water imaging for the assessment of cervical spinal cord myelin damage. Neuroimage. Clinical. 23: 101896 |
| Hu XY, Rajendran L, Lapointe E, et al. (2019) Three-dimensional MRI sequences in MS diagnosis and research. Multiple Sclerosis (Houndmills, Basingstoke, England). 1352458519848100 |
| Dao E, Hsiung GR, Sossi V, et al. (2019) Cerebral Amyloid-β Deposition Is Associated with Impaired Gait Speed and Lower Extremity Function. Journal of Alzheimer's Disease : Jad |
| O'Muircheartaigh J, Vavasour I, Ljungberg E, et al. (2019) Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis. Human Brain Mapping |
| Yoo Y, Tang LYW, Li DKB, et al. (2019) Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization. 7: 250-259 |
| Vavasour IM, Tam R, Li DK, et al. (2018) A 24-month advanced magnetic resonance imaging study of multiple sclerosis patients treated with alemtuzumab. Multiple Sclerosis (Houndmills, Basingstoke, England). 1352458518770085 |