Refereed Papers and Book Chapters

S. Abel, I. Vavasour, L.E. Lee, P. Johnson, S. Ristow, N. Ackermans, J. Chan, H. Cross, C. Laule, A. Dvorak, A. Schabas, E. Hernández-Torres, R. Tam, A. Kuan, S. Morrow, J. Wilken, A. Rauscher, V. Bhan, A. Sayao, V. Devonshire, D.K.B. Li, R. Carruthers, A. Traboulsee, and S. Kolind. Myelin water imaging provides insight into cognitive impairment in multiple sclerosis. JAMA Network Open, 3(9), 2020. [ http ]

S. Abel, I. Vavasour, L.E. Lee, P. Johnson, N. Ackermans, J. Chan, A. Dvorak, A. Schabas, V. Wiggermann, R. Tam, A. Kuan, S. Morrow, J. Wilken, C. Laule, A. Rauscher, V. Bhan, A. Sayao, V. Devonshire, D.K.B. Li, R. Carruthers, A. Traboulsee, and S. Kolind. Myelin damage in normal appearing white matter contributes to impaired cognitive processing speed in multiple sclerosis. Journal of Neuroimaging, 30(2):205–211, 2020. [ http ]

S. Aslani, V. Murino, M. Dayan, R. Tam, D. Sona, and G. Hamarneh. Scanner invariant multiple sclerosis lesion segmentation from MRI. In Proceedings of the IEEE International Symposium on Biomedical Imaging (IEEE ISBI), 2020. [ http ]

H. Liu, Q.-S. Xiang, R. Tam, A. Dvorak, S. Kolind, A.L. MacKay, A. Traboulsee, I. Vavasour, D.K.B. Li, J. Kramer, and C. Laule. Myelin water imaging data analysis in less than one minute. NeuroImage, 210(116551), 2020. [ http ]

K. Poloni, Italo Duarte de Oliveira, R. Tam, R. Ferrari, and ADNI. Brain MR image classification for Alzheimer’s disease diagnosis using structural hippocampal asymmetrical attributes from directional 3D log-Gabor filter responses. Neurocomputing, 2020. Accepted.

L.Y.W. Tang, H. Coxson, J. Leipsic, S. Lam, R. Tam, and D. Sin. Towards large-scale case-finding: training and validation of residual networks for detection of COPD using low-dose CT. The Lancet Digital Health, 2(5):E259–E267, 2020. [ http ]

L.Y.W. Tang, K. Ho, N.M. Hawkins, M. Lim, J.G. Andrade, and R. Tam. Predicting catheter ablation outcomes from pre-operative heart rhythm time-series: less is more. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Machine Learning in Medical Imaging (MLMI) Workshop, 2020. Accepted.

E. Dao, C.K. Barha, J.R. Best, G.-Y. Hsiung, R. Tam, and T. Liu-Ambrose. The effect of aerobic exercise on white matter hyperintensity progression may vary by sex. Canadian Journal on Aging, 38(2):236–244, 2019. [ http ]

E. Dao, G.-Y.R. Hsiung, V. Sossi, R. Tam, E. Shahinfard, E. Nicklin, A.K. Walid, and T. Liu-Ambrose. Cerebral amyloid-β deposition is associated with impaired gait speed and lower extremity function. Journal of Alzheimer’s Disease: JAD, 71(s1):41–49, 2019. [ http ]

A. Dvorak, E. Ljungberg, I. Vavasour, H. Liu, P. Johnson, A. Rauscher, J. Kramer, R. Tam, D.K.B. Li, C. Laule, L. Barlow, H. Briemberg, A. MacKay, A. Traboulsee, P. Kozlowski, N. Cashman, and S. Kolind. Rapid myelin water imaging for the assessment of cervical spinal cord myelin damage. NeuroImage: Clinical, 23:101896, 2019. [ http ]

X.Y. Hu, L. Rajendran, E. Lapointe, R. Tam, D.K.B. Li, A. Traboulsee, and A. Rauscher. Three-dimensional MRI sequences in MS diagnosis and research. Multiple Sclerosis Journal, 25(13):1700–1709, 2019. [ http ]

M.T.K. Law, A. Traboulsee, D.K.B. Li, R. Carruthers, M. Freedman, S. Kolind, and R. Tam. Machine learning in secondary progressive multiple sclerosis: an improved predictive model for short-term disability progression prediction. Multiple Sclerosis Journal – Experimental, Translational and Clinical, 5(4):1–14, 2019. [ http ]

M. Le, L.Y.W. Tang, E. Hernández-Torres, M. Jarrett, T. Brosch, L. Metz, D.K.B. Li, A. Traboulsee, R. Tam, A. Rauscher, and V. Wiggermann. FLAIR² improves LesionTOADS automatic segmentation of multiple sclerosis lesions in non-homogenized, multi-center, 2D clinical magnetic resonance images. NeuroImage: Clinical, 23:101918, 2019. [ http ]

L.E. Lee, J. Chan, E. Nevill, A. Soares, I. Vavasour, E. MacMillan, H. Garren, D. Clayton, B.M. Keegan, R. Tam, A. Traboulsee, S. Kolind, and R. Carruthers. Advanced imaging findings in progressive solitary sclerosis: a single lesion or a global disease? Multiple Sclerosis Journal – Experimental, Translational and Clinical, 5(1), 2019. [ http ]

E. MacMillan, J. Schubert, I. Vavasour, R. Tam, A. Rauscher, C. Taylor, H. Garren, D. Clayton, V. Levesque, S. Kolind, and A. Traboulsee. Magnetic resonance spectroscopy evidence for declining gliosis in MS patients treated with ocrelizumab versus interferon beta-1a. Multiple Sclerosis Journal – Experimental, Translational and Clinical, 2019. [ http ]

J. O’Muircheartaigh, I. Vavasour, E. Ljungberg, D.K.B. Li, A. Rauscher, V. Levesque, H. Garren, D. Clayton, R. Tam, A. Traboulsee, and S. Kolind. Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis. Human Brain Mapping, 40(7):2104–2116, 2019. [ http ]

N. Ackermans, C. Taylor, R. Tam, R. Carruthers, S. Kolind, H. Kang, M. Freedman, D.K.B. Li, and A. Traboulsee. Effect of different doses of gadolinium contrast agent on clinical outcomes in MS. Multiple Sclerosis Journal — Experimental, Translational and Clinical, 5(1), 2018. [ http ]

H. Kang, M. Hii, M. Le, R. Tam, A. Riddehough, A. Traboulsee, S. Kolind, M. Freedman, and D.K.B. Li. Gadolinium deposition in deep brain structures: relationship with dose and ionization of linear gadolinium-based contrast agents. American Journal of Neuroradiology, 39(9):1597–1603, 2018.

A. Tang, R. Tam, A. Cadrin-Chênevert, W. Guest, J. Chong, J. Barfett, L. Chepelev, R. Cairns, J.R. Mitchell, Mark D Cicero, M.G. Poudrette, J.L. Jaremko, C. Reinhold, B. Gallix, B. Gray, R. Geis, and Canadian Association of Radiologists (CAR) Artificial Intelligence Working Group. Canadian Association of Radiologists white paper on artificial intelligence in radiology. Canadian Association of Radiologists Journal, 69(2):120–135, 2018. [ http ]

I. Vavasour, R. Tam, D.K.B. Li, C. Laule, C. Taylor, S. Kolind, A. MacKay, A. Javed, and A. Traboulsee. A 24-month advanced magnetic resonance imaging study of multiple sclerosis patients treated with alemtuzumab. Multiple Sclerosis Journal, 25(6):811–818, 2018. [ http ]

Y. Yoo, L.Y.W. Tang, T. Brosch, D.K.B. Li, S. Kolind, I. Vavasour, A. Rauscher, A.L. MacKay, A. Traboulsee, and R. Tam. Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls. NeuroImage: Clinical, 17:169–178, 2018. [ http ]

E. Dao, J.R. Best, G.-Y.R. Hsiung, V. Sossi, C. Jacova, R. Tam, and T. Liu-Ambrose. Associations between cerebral amyloid and changes in cognitive function and falls risk in subcortical ischemic vascular cognitive impairment. BMC Geriatrics, 17(1), 2017. [ http ]

A. Porisky, T. Brosch, E. Ljungberg, L.Y.W. Tang, Y. Yoo, B. De Leener, A. Traboulsee, J. Cohen-Adad, and R. Tam. Grey matter segmentation in spinal cord MRIs via 3D convolutional encoder networks with shortcut connections. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop on Deep Learning in Medical Image Analysis (DLMIA), pages 330–337, 2017.

F. Prados, J. Ashburner, C. Blaiotta, T. Brosch, J. Carballido-Gamio, M.J. Cardoso, B.N. Conrad, E. Datta, G. Dávid, B. De Leener, S.M. Dupont, P. Freund, C.A.M. Gandini Wheeler-Kingshott, F. Grussu, R. Henry, B.A. Landman, E. Ljungberg, B. Lyttle, S. Ourselin, N. Papinutto, S. Saporito, R. Schlaeger, S.A. Smith, P. Summers, R. Tam, M.C. Yiannakas, A. Zhu, and J. Cohen-Adad. Spinal cord grey matter segmentation challenge. NeuroImage, 152:312–329, 2017. [ http ]

A. Traboulsee, D.K.B. Li, R. Tam, G. Zhao, A. Riddehough, J. Fang, F. Dangond, L. Kappos, and the PRISMS and SPECTRIMS Working Groups. Subcutaneous interferon beta-1a three times weekly and the natural evolution of gadolinium-enhancing lesions into chronic black holes in relapsing and progressive multiple sclerosis: Analysis of PRISMS and SPECTRIMS trials. Multiple Sclerosis Journal — Experimental, Translational and Clinical, 3(4), 2017.

Y. Yoo, L.Y.W. Tang, D.K.B. Li, L. Metz, S. Kolind, A. Traboulsee, and R.C. Tam. 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, 2017. [ http ]

Y. Yoo, L.Y.W. Tang, S. Kim, H.J. Kim, L.E. Lee, D.K.B. Li, S. Kolind, A. Traboulsee, and R. Tam. Hierarchical multimodal fusion of deep-learned lesion and tissue integrity features in brain MRIs for distinguishing neuromyelitis optica from multiple sclerosis. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Part III, pages 480–488, 2017.

T. Brosch, L.Y.W. Tang, Y. Yoo, D.K.B. Li, A. Traboulsee, and R. Tam. Deep 3D convolutional encoder networks with shortcuts for multiscale feature integration applied to multiple sclerosis lesion segmentation. IEEE Transactions on Medical Imaging (Special Issue on Deep Learning in Medical Imaging), 35(5):1229–1239, 2016.

T. Brosch, Y. Yoo, L.Y.W. Tang, and R. Tam. Deep learning of brain images and its application to multiple sclerosis. In G. Wu, D. Shen, and M. Sabuncu, editors, Machine Learning and Medical Imaging, chapter 3. Elsevier, 2016. [ http ]

M. Jarrett, R. Tam, E. Hernández-Torres, N. Martin, W. Perera, Y. Zhao, E. Shahinfard, S. Dadachanji, D.K.B. Li, J. Taunton, and A. Rauscher. A prospective pilot investigation of brain volume, white matter hyperintensities and haemorrhagic lesions after mild traumatic brain injury. Frontiers in Neurology, 7(11), 2016. [ http ]

E.A. Ljungberg, I. Vavasour, R. Tam, Y. Yoo, A. Rauscher, D.K.B. Li, A. Traboulsee, A. MacKay, and S. Kolind. Rapid myelin water imaging in human cervical spinal cord. Magnetic Resonance in Medicine, 78(4):1482–1487, 2016. [ http ]

E. MacMillan, R. Tam, Y. Zhao, I. Vavasour, D.K.B. Li, J. Oger, M. Freedman, S. Kolind, and A. Traboulsee. Progressive multiple sclerosis exhibits decreasing glutamate and glutamine over two years. Multiple Sclerosis Journal, 22(1):112–116, 2016. [ http ]

S. Meyers, R. Tam, S. Kolind, I. Vavasour, Y. Zhao, D.K.B. Li, A. MacKay, and A. Traboulsee. Does hydration status affect MRI measures of brain volume or water content? Journal of Magnetic Resonance Imaging, 44(2):296–304, 2016. [ http ]

L.Y.W. Tang, R. Tam, and G. Hamarneh. Enhancing accuracy of symmetric random walker image registration via a novel data-consistency measure. In Proceedings of the IEEE International Symposium on Biomedical Imaging (IEEE ISBI), 2016.

L.Y.W. Tang, T. Brosch, X. Liu, A. Traboulsee, D.K.B. Li, and R. Tam. Corpus callosum segmentation in brain MRIs via robust target-localization and joint supervised feature extraction and prediction. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Part II, pages 406–414, 2016.

Y. Yoo, L.Y.W. Tang, T. Brosch, D.K.B. Li, L. Metz, A. Traboulsee, and R. Tam. Deep learning of brain lesion patterns for predicting future disease activity in patients with early symptoms of multiple sclerosis. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop on Deep Learning in Medical Image Analysis (DLMIA), pages 86–94, 2016.

N. Bolandzadeh, R. Tam, T. Handy, L. Nagamatsu, C. L. Hsu, J. C. Davis, E. Dao, L. Beattie, and T. Liu-Ambrose. Resistance training and white matter lesion progression in older women: exploratory analysis of a 12-month randomized controlled trial. Journal of the American Geriatrics Society, 63(10):2052–60, 2015. [ http ]

T. Brosch and R. Tam. Efficient training of convolutional deep belief networks in the frequency domain for application to high-resolution 2D and 3D images. Neural Computation, 27(1):211–227, 2015. [ http ]

T. Brosch, Y. Yoo, L.Y.W. Tang, D.K.B. Li, A. Traboulsee, and R. Tam. Deep convolutional encoder networks for multiple sclerosis lesion segmentation. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Part III, pages 3–11, 2015.

E. Dao, G.-Y..R. Hsiung, V. Sossi, C. Jacova, R. Tam, K. Dinelle, J.R. Best, and T. Liu-Ambrose. Exploring the effects of coexisting amyloid in subcortical vascular cognitive impairment. BMC Neurology, 15(1), 2015. [ http ]

S. Garg, L. Tang, A. Traboulsee, and R. Tam. A sensitive and efficient method for measuring change in cortical thickness using fuzzy correspondence in Alzheimer’s Disease. In Proceedings of the International Conference on Image Processing (ICIP), pages 3014–3018, 2015.

S. Kolind, A. Seddigh, A. Combes, B. Russell-Schulz, R. Tam, V. Yogendrakumar, S. Deoni, N. Sibtain, A. Traboulsee, S. Williams, G. Barker, and P. Brex. Brain and cord myelin water imaging: a progressive multiple sclerosis biomarker. Neuroimage: Clinical, 9:574–580, 2015. [ http ]

L.Y.W. Tang, G. Hamarneh, D.K.B. Li, A. Traboulsee, and R. Tam. Corpus callosum segmentation in MS studies using normal atlases and optimal hybridization of extrinsic and intrinsic image cues. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Part III, pages 123–131, 2015.

Y. Yoo, T. Prasloski, I. Vavasour, A. MacKay, A. Traboulsee, D.K.B. Li, and R. Tam. Fast computation of myelin maps from MRI T₂ relaxation data using multicore CPU and graphics card parallelization. Journal of Magnetic Resonance Imaging, 41(3):700–707, 2015. [ http ]

T. Brosch, Y. Yoo, A. Traboulsee, D.K.B. Li, and R. Tam. Modeling the variability in brain morphology and lesion distribution in multiple sclerosis by deep learning. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Part II, pages 463–470, 2014.

S. Garg, A. Traboulsee, D.K.B. Li, and R. Tam. A robust and sensitive voxel-based method for measuring cortical thickness change using fuzzy correspondence. In Proceedings of the XXIV Brazilian Congress on Biomedical Engineering, pages 1617–1620, 2014.

A. Hodgson, R. Tam, and H.F.M. Van der Loos. Engineers in Scrubs — a new graduate training program for biomedical engineers at the University of British Columbia. Journal of Medical Devices, 8(3), 2014.

C. Wang, R. Tam, E. Mackie, D.K.B. Li, and A. Traboulsee. Dehydration affects spinal cord cross-sectional area measurement on MRI in healthy subjects. Spinal Cord, 52:616–620, 2014. [ http ]

Y. Yoo, T. Brosch, A. Traboulsee, D.K.B. Li, and R. Tam. Deep learning of image features from unlabeled data for multiple sclerosis lesion segmentation. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Machine Learning in Medical Imaging (MLMI) Workshop, pages 113–120, 2014.

T. Brosch, R. Tam, and the Alzheimer’s Disease Neuroimaging Initiative. Manifold learning of brain MRIs by deep learning. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Part II, pages 633–640, 2013.

J. Kawahara, C. McIntosh, R. Tam, and G. Hamarneh. Novel morphological and appearance features for predicting physical disability from MR images in multiple sclerosis patients. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Computational Spine Imaging (CSI) Workshop, pages 54–66, 2013.

J. Kawahara, C. McIntosh, R. Tam, and G. Hamarneh. Augmenting auto-context with global geometric features for spinal cord segmentation. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Machine Learning in Medical Imaging (MLMI) Workshop, pages 212–219, 2013.

J. Kawahara, C. McIntosh, R. Tam, and G. Hamarneh. Globally optimal spinal cord segmentation using a minimal path in high dimensions. In Proceedings of the IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 836—839, 2013.

Y. Yoo and R. Tam. Non-local spatial regularization of MRI T2 relaxation images for myelin water quantification. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Part I, pages 614–621, 2013.

N. Bolandzadeh, J.C. Davis, R. Tam, T. Handy, and T. Liu-Ambrose. The association between cognitive function and white matter lesion location in older adults: a systematic review. BMC Neurology, 12(126), 2012. [ http ]

F. Sheikhzadeh, R. Tam, and G. Hamarneh. Spatial dispersion of lesions as a surrogate biomarker for disability in multiple sclerosis. In Proceedings of the IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), pages 273–278, 2012.

R. Tam, A. Traboulsee, A. Riddehough, and D.K.B. Li. Improving the clinical correlation of multiple sclerosis black hole volume change by paired-scan analysis. NeuroImage: Clinical, 1(1):29–36, 2012. [ http ]

C. McIntosh, G. Hamarneh, M. Toom, and R. Tam. Spinal cord segmentation for volume estimation in healthy and multiple sclerosis subjects using crawlers and minimal paths. In Proceedings of IEEE Conference on Healthcare Informatics, Imaging, and Systems Biology (HISB), pages 25–31, 2011.

R. Tam, A. Traboulsee, A. Riddehough, F. Sheikhzadeh, and D.K.B. Li. The impact of intensity variations in T1-hypointense lesions on clinical correlations in multiple sclerosis. Multiple Sclerosis Journal, 17(8):947–955, 2011. [ http ]

N. Changizi, G. Hamarneh, O. Ishaq, A. Ward, and R. Tam. Extraction of the plane of minimal cross-sectional area of the corpus callosum using template-driven segmentation. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Part III, pages 17–24, 2010.

A. Huang, R. Abugharbieh, and R. Tam. A novel rotationally-invariant region-based hidden Markov model for efficient 3D image segmentation. IEEE Transactions on Image Processing, 19(10):2737–2748, 2010.

J. McAusland*, R. Tam*, E. Wong, A. Riddehough, and D.K.B. Li. Optimizing the use of radiologist seed points for improved multiple sclerosis lesion segmentation. IEEE Transactions on Biomedical Engineering, 57(11):2689–2698, 2010. *Co-first authors.

T. Brosch and R. Tam. A self-optimizing histogram algorithm for graphics card accelerated image registration. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Grid Workshop, pages 35–44, 2009.

A. Huang, R. Abugharbieh, and R. Tam. A hybrid geometric-statistical deformable model for automated 3D segmentation in brain MRI. IEEE Transactions on Biomedical Engineering, 56(7):1838–1848, 2009.

A. Huang, R. Abugharbieh, and R. Tam. A fuzzy region-based hidden Markov model for partial-volume classification in brain MRI. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI) Part II, pages 474–481, 2009.

S. Meyers, C. Laule, S. Kolind, R. Tam, A. Traboulsee, J. Lee, D.K.B. Li, and A. MacKay. Reproducibility and reliability of myelin water fraction analysis: a comparison of region of interest and voxel based analysis methods. Magnetic Resonance Imaging, 27:1096–1103, 2009.

R. Tam, A. Riddehough, and D.K.B. Li. Detection and measurement of coverage loss in interleaved multi-acquisition brain MRIs due to motion-induced inter-slice misalignment. Medical Image Analysis, 13:381–391, 2009.

A. Huang, R. Abugharbieh, and R. Tam. Image segmentation using an efficient rotationally invariant 3D region-based hidden Markov model. In Proceedings of the IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), 2008.

O. Ishaq, G. Hamarneh, R. Tam, and A. Traboulsee. Longitudinal, regional and deformation-specific corpus callosum shape analysis for multiple sclerosis. In Proceedings of the IEEE International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC), pages 2110–2113, 2007.

A. Huang, R. Abugharbieh, R. Tam, and A. Traboulsee. MRI brain extraction with combined expectation maximization and geodesic active contours. In Proceedings of the IEEE International Symposium on Signal Processing and Information Technology (IEEE ISSPIT), pages 107–111, 2006.

A. Huang, R. Abugharbieh, R. Tam, and A. Traboulsee. Automatic MRI brain tissue segmentation using a hybrid statistical and geometric model. In Proceedings of the IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 394–397, 2006.

A. Huang, R. Abugharbieh, R. Tam, and A. Traboulsee. Brain extraction using geodesic active contours. In Proceedings of SPIE Medical Imaging, pages 61444J 1–8, 2006.

O. Ishaq, G. Hamarneh, R. Tam, and A. Traboulsee. Effects of mid-sagittal plane perturbation and image interpolation on corpus callosum area calculation. In Proceedings of the IEEE International Symposium on Signal Processing and Information Technology (IEEE ISSPIT), pages 197–202, 2006.

R. Tam and W. Heidrich. Computing polygonal surfaces from unions of balls. In Proceedings of Computer Graphics International, pages 86–92, 2004.

R. Tam and W. Heidrich. Shape simplification based on the medial axis transform. In Proceedings of IEEE Visualization, pages 481–488, 2003.

R. Tam and W. Heidrich. Feature-preserving medial axis noise removal. Lecture Notes in Computer Science (Proceedings of the European Conference on Computer Vision), 2351:672–686, 2002.

R. Tam and A. Fournier. Shape model and threshold extraction via shape gradients. In Proceedings of Vision, Modeling and Visualization, pages 481–489, 2001.

R. Tam and A. Fournier. Image interpolation using unions of spheres. The Visual Computer, 14(8/9):401–414, 1998.

R. Tam, C. Healey, B. Flak, and P. Cahoon. Volume rendering of abdominal aortic aneurysms. In Proceedings of IEEE Visualization, pages 43–50, 1997. [ .ps ]

R. Tam and S. Vuong. Practical considerations on asynchronous transfer mode performance. In Proceedings of 18th Biennial Symposium on Communications, pages 283–286, 1996.

Abstracts and Short Papers

H. Lee, V. Wiggermann, A. Rauscher, M.F. Beg, K. Popuri, R. Tam, K. Lam, C. Jacova, V. Sossi, J. Pettersen, O. Benavente, and G.-Y.R. Hsiung. Pilot study of MRI white matter tissue properties in Alzheimer’s, vascular and mixed dementias. In Proceedings of the Alzheimer’s Association International Conference (AAIC), 2020.

H. Lee, V. Wiggermann, A. Rauscher, M.F. Beg, K. Popuri, R. Tam, K. Lam, C. Jacova, V. Sossi, J. Pettersen, O. Benavente, and G.-Y.R. Hsiung. Lobar distribution of white matter diseases in Alzheimer’s, vascular and mixed dementias. In Proceedings of the Alzheimer’s Association International Conference (AAIC), 2020.

H. Lee, V. Wiggermann, A. Rauscher, M.F. Beg, K. Popuri, R. Tam, K. Lam, T. Liu-Ambrose, C. Jacova, V. Sossi, J. Pettersen, O. Benavente, and G.-Y.R. Hsiung. Associations between white matter hyperintensities and cognitive dysfunctions in Alzheimer’s, vascular and mixed dementias. In Proceedings of the Alzheimer’s Association International Conference (AAIC), 2020.

H. Liu, Q.-S. Xiang, R. Tam, P. Kozlowski, D.K.B. Li, A.L. MacKay, J.K. Kramer, and C. Laule. A novel T2 relaxation analysis method SAME-ECOS: Spectrum analysis for multiple exponentials via experimental condition oriented simulation. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 2020.

T. Swift-LaPointe, I. Vavasour, L.E. Lee, S. Abel, B. Russell-Schulz, C. Graf, A. Wurl, H. Liu, C. Laule, D.K.B. Li, A. Traboulsee, R. Tam, L. Boyd, A.L. MacKay, S. Kolind, and A. Dvorak. Uncharted waters: Insights from a 100-subject myelin water imaging atlas. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 2020.

K. Taheri, I. Vavasour, S. Abel, L.E. Lee, P. Johnson, S. Ristow, R. Tam, C. Laule, N. Ackermans, A. Schabas, J. Chan, A. Sayao, V. Devonshire, R. Carruthers, A. Traboulsee, S. Kolind, and A. Dvorak. Accurate cervical spinal cord area measurements can be extracted from brain images. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 2020.

L.Y.W. Tang, K. Ho, N. Hawkins, R. Tam, M. Lim, and J. Andrade. Baseline prediction of atrial fibrillation recurrence after catheter ablation: Comparative analysis of prognostic models using data recorded by implanted cardiac monitors. In Proceedings of the American Heart Association Scientific Sessions, 2020.

L.Y.W. Tang, K. Ho, N. Hawkins, R. Tam, M. Lim, and J. Andrade. Natural history of cardiac function in patients with atrial fibrillation pre- and post-ablation. In Proceedings of the American Heart Association Scientific Sessions, 2020.

L.Y.W. Tang, K. Ho, R. Tam, N. Hawkins, M. Lim, and J. Andrade. Machine learning for predicting AF ablation outcomes using daily heart rhythm data at baseline. In Proceedings of the European Society of Cardiology (ESC) Congress, 2020.

M. Tayyab, L. Metz, D.K.B. Li, A. Dvorak, S. Kolind, R. Carruthers, A. Traboulsee, and R. Tam. Machine learning of deep grey matter nuclei on MRI for predicting new disease activity after a first clinical demyelinating event. In Proceedings of the Joint ACTRIMS-ECTRIMS meeting, 2020.

I. Vavasour, L.E. Lee, A. Dvorak, S. Abel, P. Johnson, S. Ristow, C. Laule, R. Tam, D.K.B. Li, N. Ackermans, A. Schabas, J. Chan, A. Sayao, V. Devonshire, R. Carruthers, A. Traboulsee, and S. Kolind. Cervical cord myelin abnormality is associated with clinical disability in multiple sclerosis. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 2020.

V. Wiggermann, S. Abel, I. Vavasour, E. Hernández-Torres, C. Kames, D.K.B. Li, R. Tam, S. Kolind, A. Traboulsee, and A. Rauscher. QSM and R2* capture physical and cognitive impairment in multiple sclerosis. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 2020.

S. Abel, I. Vavasour, P. Johnson, S. Ristow, L.E. Lee, N. Ackermans, J. Chan, A. Schabas, R. Tam, A. Kuan, G.R.W. Moore, J. Wilken, A. Sayao, V. Devonshire, V. Bhan, D.K.B. Li, R. Carruthers, A. Traboulsee, and S. Kolind. Myelin damage in normal appearing white matter (NAWM) contributes to cognitive impairment in MS. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2019.

S. Abel, I. Vavasour, L.E. Lee, P. Johnson, N. Ackermans, J. Chan, A. Schabas, R. Tam, A. Kuan, S. Morrow, J. Wilken, A. Sayao, V. Devonshire, D.K.B. Li, R. Carruthers, A. Traboulsee, and S. Kolind. Myelin content heterogeneity is related to cognitive performance in MS. In Proceedings of the Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS) Forum, 2019.

A. Dvorak, E. Ljungberg, I. Vavasour, H. Liu, P. Johnson, A. Rauscher, J. Kramer, R. Tam, C. Laule, D.K.B. Li, A. MacKay, A. Traboulsee, P. Kozlowski, and S. Kolind. Pilot assessment of cervical spinal cord myelin content and tissue integrity in neuromyelitis optica spectrum disorder. In Proceedings of the Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS) Forum, 2019.

A. Dvorak, H. Liu, E. Ljungberg, I. Vavasour, L.E. Lee, A. MacKay, R. Tam, D.K.B. Li, A. Rauscher, C. Laule, and S. Kolind. Multivariate template creation of a myelin water brain atlas with GRASE and mcDESPOT. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 2019.

P. Johnson, J. Chan, I. Vavasour, S. Abel, L.E. Lee, H. Yong, V. Wiggermann, C. Laule, A. Woolfenden, A. Traboulsee, D.K.B. Li, R. Tam, S. Kolind, and R. Carruthers. Regional myelin-specific MRI abnormalities in Susac Syndrome suggest demyelination is a pathologic feature. In Proceedings of the American Academy of Neurology (AAN) Annual Meeting, 2019.

P. Johnson, J. Chan, I. Vavasour, S. Abel, L.E. Lee, H. Yong, V. Wiggermann, C. Laule, A. Woolfenden, A. Traboulsee, D.K.B. Li, R. Tam, S. Kolind, and R. Carruthers. Regional myelin-specific MRI abnormalities in Susac Syndrome suggest demyelination is a pathologic feature. In Proceedings of the Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS) Forum, 2019.

M.T.K. Law, A. Traboulsee, D.K.B. Li, R. Carruthers, M. Freedman, S. Kolind, and R. Tam. Deep learning of baseline brain lesion masks better predicts SPMS progression than baseline clinical, demographic and MRI measures. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2019.

M.T.K. Law, A. Traboulsee, D.K.B. Li, R. Carruthers, M. Freedman, S. Kolind, and R. Tam. Prediction of disability progression in SPMS is outperformed by EDSS analyzed as a categorical variable rather than a continuous variable. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2019.

H. Lee, V. Wiggermann, A. Rauscher, K. Lam, R. Tam, K. Popuri, M.F. Beg, C. Jacova, V. Sossi, J. Pettersen, and G.-Y.R. Hsiung. Spatial distributions of white matter hyperintensities in the corpus callosum can help distinguish mixed dementia from Alzheimer’s and vascular dementias. In Proceedings of the Canadian Conference on Dementia, 2019.

L.E. Lee, A. Dvorak, H. Liu, S. Abel, P. Johnson, I. Vavasour, C. Laule, R. Tam, D.K.B. Li, J. Chan, R. Carruthers, A. Traboulsee, and S. Kolind. Does myelin content heterogeneity in the spinal cord reflect disability in multiple sclerosis? In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2019.

L.E. Lee, A. Dvorak, H. Liu, S. Abel, P. Johnson, I. Vavasour, C. Laule, R. Tam, D.K.B. Li, J. Chan, R. Carruthers, A. Traboulsee, and S. Kolind. Associations between myelin damage in the cervical spinal cord and disability in relapsing and progressive multiple sclerosis. In Proceedings of the Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS) Forum, 2019.

H. Liu, Q.-S. Xiang, R. Tam, A. Dvorak, S. Kolind, A.L. MacKay, A. Traboulsee, I. Vavasour, D.K.B. Li, J. Kramer, and C. Laule. Myelin water imaging data analysis in less than one minute using a deep learning approach. In Proceedings of the endMS Conference, 2019.

H. Liu, R. Tam, J. Kramer, and C. Laule. Analyzing multi-exponential T2 decay data using a neural network. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2019.

H. Liu, Q.-S. Xiang, R. Tam, A. MacKay, J. Kramer, and C. Laule. 150× acceleration of myelin water imaging data analysis by a neural network. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2019.

I. Vavasour, L.E. Lee, A. Dvorak, S. Abel, P. Johnson, S. Ristow, N. Ackermans, J. Chan, A. Schabas, R. Tam, A. Sayao, V. Devonshire, D.K.B. Li, R. Carruthers, A. Traboulsee, and S. Kolind. Spinal cord grey matter area and myelin water fraction are related to disability. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2019.

I. Vavasour, C. Taylor, D.K.B. Li, R. Tam, V. Levesque, H. Garren, D. Clayton, A. Traboulsee, and S. Kolind. Myelin content heterogeneity is related to cognitive performance in MS. In Proceedings of the Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS) Forum, 2019.

A. Wurl, I. Vavasour, A. Dvorak, N. Ackermans, C. Laule, D.K.B. Li, R. Carruthers, A. MacKay, R. Tam, A. Cross, P. Sun, S.-K. Song, H. Garren, A. Traboulsee, and S. Kolind. Longitudinal changes in diffusion basis spectrum imaging metrics of normal-appearing white matter and lesions in ocrelizumab-treated relapsing multiple sclerosis. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 2019.

J. Yik, R. Tam, J. Kramer, C. Laule, and H. Liu. Spinal cord grey matter segmentation using a light-weight off-the-shelf neural network. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2019.

J. Yik, R. Tam, C. Rubino, L. Boyd, D.K.B. Li, C. Laule, and H. Liu. Feasibility of brain white matter segmentation on multi-echo T2-weighted images without registration: a neural network approach. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2019.

H. Yong, I. Vavasour, C. Laule, G.R.W. Moore, R. Tam, A. Traboulsee, B. Trapp, and S. Kolind. Myelin measurements using GRASE and mcDESPOT are strongly correlated with those from multi-echo spin-echo myelin water imaging in postmortem multiple sclerosis tissue. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 2019.

S. Abel, I. Vavasour, L. Lee, R. Tam, C. Laule, R. Carruthers, A. Traboulsee, A. Combes, and S. Kolind. mcDESPOT-derived measurements are sensitive to differences in myelin content and thickness in the corpus callosum of neuromyelitis optica patients and healthy controls. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2018.

N. Ackermans, A. Traboulsee, D.K.B. Li, M. Freedman, R. Carruthers, R. Tam, S. Kolind, H. Kang, and C. Taylor. Effect of different doses of gadolinium contrast agent on clinical outcomes in multiple sclerosis. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2018.

J. Cairns, I. Vavasour, G. Zhao, R. Tam, S. Morrow, A. Riddehough, A. MacKay, A. Traboulsee, M.J. McKeown, G.R.W. Moore, D.K.B. Li, and C. Laule. Does the presence of diffusely abnormal white matter in MS affect cognitive function? In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2018.

J. Cairns, I. Vavasour, G. Zhao, R. Tam, S. Morrow, A. Riddehough, A. MacKay, A. Traboulsee, M.J. McKeown, G.R.W. Moore, D.K.B. Li, and C. Laule. Quantitative MRI of diffusely abnormal white matter in multiple sclerosis at 3T. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2018.

K. Chang, I. Vavasour, R. Tam, D. Clayton, V. Levesque, D.K.B. Li, A. Traboulsee, and S. Kolind. Myelin water fraction as a potential marker of progression in primary progressive multiple sclerosis. In Proceedings of the Consortium of Multiple Sclerosis Centers (CMSC) Annual Meeting, 2018.

M. Hii, H. Kang, M. Le, A. Riddehough, A. Traboulsee, S. Kolind, D.K.B. Li, and R. Tam. Comparison of two methods for the measurement of T1 hyperintensity in multiple sclerosis patients with repeated exposure to gadolinium-based contrast agents. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2018.

H. Kang, M. Hii, M. Le, R. Tam, A. Riddehough, A. Traboulsee, S. Kolind, and D.K.B. Li. Hyperintensity in deep-brain structures on unenhanced T1-weighted MR in a large cohort of patients with secondary progressive multiple sclerosis: Relationship with dose and ionization of linear gadolinium-based contrast agent. In Proceedings of the American Society of Neuroradiology (ASNR) Annual Meeting, 2018.

C. Laule, I. Vavasour, S. Kolind, T. Bjarnason, J. Zhang, D. Lang, H. Liu, E. Ljungberg, R. Tam, E. MacMillan, J. Kramer, S. Sirrs, A. Traboulsee, L. Boyd, P. Kozlowski, A. Rauscher, G.R.W. Moore, D.K.B. Li, and A. MacKay. Myelin water imaging: Assessment of myelination with MRI (educational poster). In Proceedings of the American Society of Neuroradiology (ASNR) Annual Meeting, 2018.

M.T.K. Law, A. Traboulsee, D.K.B. Li, R. Carruthers, M. Freedman, S. Kolind, and R. Tam. Machine learning outperforms linear regression for predicting disability progression in SPMS. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2018.

L.E. Lee, J. Chan, R. Tam, A. Traboulsee, R. Carruthers, and S. Kolind. Multicomponent relaxation analysis of myelin in the brains of rare progressive solitary sclerosis, compared to multiple sclerosis and healthy control subjects in vivo. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2018.

H. Liu, R. Tam, J. Kramer, and C. Laule. Myelin water imaging data post-processing: a deep learning approach. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Workshop on Machine Learning, Part II, 2018.

L.Y.W. Tang, E. Lapointe, J. Chan, Y. Yoo, L. Lee, A. Riddehough, S. Kolind, S.H. Kim, H.J. Kim, D.K.B. Li, A. Traboulsee, and R. Tam. Machine learning for automated analysis of brain lesional patterns for NMOSD-MS differential diagnosis. In Proceedings of the Canadian Association of Radiologists (CAR) Annual Scientific Meeting, 2018.

L.Y.W. Tang, H. Coxson, J. Leipsic, D. Sin, and R. Tam. Deep learning for classification of severity in chronic obstructive pulmonary disease. In Proceedings of the Canadian Association of Radiologists (CAR) Annual Scientific Meeting, 2018.

I. Vavasour, R. Tam, S. Kolind, R. Carruthers, A. Traboulsee, D.K.B. Li, and C. Laule. Quantitative MRI of diffusely abnormal white matter in multiple sclerosis at 3T. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2018.

I. Vavasour, C. Taylor, D.K.B. Li, R. Tam, V. Levesque, H. Garren, D. Clayton, A. Traboulsee, and S. Kolind. Monitoring myelin changes using advanced magnetic resonance imaging in multiple sclerosis patients treated with ocrelizumab over 48 months. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2018.

A. Wurl, I. Vavasour, A. Dvorak, C. Laule, R. Tam, D.K.B. Li, R. Carruthers, A. MacKay, P. Sun, S.-K. Song, H. Garren, A. Traboulsee, and S. Kolind. Longitudinal changes in advanced diffusion MRI of normal-appearing white matter and chronic lesions in ocrelizumab treated relapsing MS. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2018.

S. Kolind, I. Vavasour, R. Tam, L.Y.W. Tang, A. Rauscher, R. Carruthers, R. White, V. Levesque, H. Garren, D. Clayton, D.K.B. Li, and A. Traboulsee. Advanced myelin-related MRI measures in relapsing multiple sclerosis patients treated with ocrelizumab or interferon beta-1a over 96 weeks. In Proceedings of the American Academy of Neurology (AAN) Annual Meeting, 2017.

S. Kolind, I. Vavasour, R. Tam, L.Y.W. Tang, A. Rauscher, R. Carruthers, R. White, V. Levesque, H. Garren, D. Clayton, D.K.B. Li, and A. Traboulsee. Myelin-related MRI metrics demonstrate longitudinal differences for relapsing MS patients treated with ocrelizumab or interferon beta-1a over 96 weeks. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2017.

C. Laule, J. Lee, G. Zhao, R. White, D. Lang, W. Su, I. Vavasour, R. Tam, A. Riddehough, A. Traboulsee, L. Metz, and D.K.B. Li. Occurrence of diffusely abnormal white matter in individuals with clinically isolated syndromes suggestive of multiple sclerosis. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2017.

C. Laule, I. Vavasour, S. Kolind, T. Bjarnason, J. Zhang, D. Lang, H. Liu, E.A. Ljungberg, R. Tam, E. MacMillan, J. Kramer, S. Sirrs, P. Kozlowski, A. Rauscher, L. Boyd, G.R.W. Moore, A. Traboulsee, D.K.B. Li, and A. MacKay. Magnetic resonance imaging of myelin water: principles and applications (educational abstract). In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2017.

E. MacMillan, J. Schubert, I. Vavasour, R. Tam, A. Rauscher, R. White, H. Garren, D. Clayton, V. Levesque, D.K.B. Li, A. Traboulsee, and S. Kolind. Longitudinal changes in magnetic resonance spectroscopy over 96 weeks in relapsing MS treated with ocrelizumab versus interferon beta-1a. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2017.

L.Y.W. Tang, Y. Yoo, T. Brosch, L.E. Lee, S. Kim, H. Kim, D.K.B. Li, S. Kolind, A. Traboulsee, and R. Tam. DTI measures in the corpus callosum demonstrate group differences between multiple sclerosis and neuromyelitis optical spectrum disorder. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) White Matter Disease Workshop, 2017.

L.Y.W. Tang, S. Garg, Y. Yoo, A. Riddehough, S. Kolind, A. Traboulsee, L. Metz, D.K.B. Li, and R. Tam. Corpus callosum atrophy develops within three months since CIS trial enrolment. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2017.

I. Vavasour, C. Laule, S. Kolind, D.K.B. Li, R. Tam, R. Carruthers, A. MacKay, and A. Traboulsee. MRI myelin water fraction provides evidence of long-term neuro-recovery in alemtuzumab treated multiple sclerosis patients. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2017.

I. Vavasour, C. Laule, S. Kolind, R. Tam, D.K.B. Li, A. MacKay, and A. Traboulsee. Myelin water imaging provides evidence of long-term remyelination and neuroprotection in alemtuzumab treated multiple sclerosis patients. In Proceedings of the American Academy of Neurology (AAN) Annual Meeting, 2017.

I. Vavasour, C. Laule, S. Kolind, R. Tam, D.K.B. Li, A. MacKay, and A. Traboulsee. Myelin water imaging provides evidence of long-term remyelination and neuroprotection in alemtuzumab-treated multiple sclerosis patients. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2017.

Y. Yoo, L.Y.W. Tang, S. Kim, H. Kim, L.E. Lee, D.K.B. Li, S. Kolind, A. Traboulsee, and R. Tam. Deep learning of brain MRI lesion and diffusion tensor imaging features for distinguishing neuromyelitis optica spectrum disorder from multiple sclerosis. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) White Matter Disease Workshop, 2017.

P. Beauchemin, R. Tam, D. Li, A. Riddehough, and A. Traboulsee. BraVo Pilot Project: real world clinical usefulness of brain atrophy monitoring of MS patients. In Proceedings of the American Academy of Neurology (AAN) Annual Meeting, 2016.

P. Beauchemin, R. Carruthers, A. Riddehough, D. Li, A. Traboulsee, and R. Tam. Brain volume monitoring in multiple sclerosis: technical and logistical limitations for implementation in clinical practice. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2016.

P. Beauchemin, R. Carruthers, R. White, A. Riddehough, D. Li, A. Traboulsee, and R. Tam. Establishing a reference population for individualized brain volume assessment in Multiple Sclerosis: toward clinical use of brain volume tools. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2016.

P. Beauchemin, R. Carruthers, A. Riddehough, D. Li, A. Traboulsee, and R. Tam. Real world usefulness of brain volume measurements in Multiple Sclerosis: preliminary results from BraVo pilot project. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2016.

R. Carruthers, P. Beauchemin, J. McAusland, A. Riddehough, R. White, D. Li, A. Traboulsee, and R. Tam. SIENA vs EdgeFlow, a novel MRI analysis tool designed to offer personalized longitudinal brain atrophy measurements in MS. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2016.

M. Le, A. Rauscher, T. Brosch, Y. Yoo, L. Tang, M. Jarrett, A. Traboulsee, D.K.B. Li, and R. Tam. FLAIR² improves automatic lesion segmentation over FLAIR in MS patients. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2016.

E.A. Ljungberg, I. Vavasour, R. Tam, Y. Yoo, A. Rauscher, D.K.B. Li, A. Traboulsee, A. MacKay, and S. Kolind. Rapid myelin water imaging in human cervical spinal cord. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2016.

A.-L. Nguyen, S. Kolind, A. Lange, R. Tam, A. Riddehough, I. Vavasour, R. White, R. Carruthers, A. MacKay, D. Li, A. Jacobs, A. Traboulsee, and ICAMMS IST. Retinal nerve fibre layer changes over 2 years correlate with brain volume and N-acetylaspartate in alemtuzumab treated multiple sclerosis patients. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2016.

J. Schubert, E. MacMillan, I Vavasour, E. Vianna, A. Dzyakanchuk, Y. Yoo, R. Tam, S. Kolind, and A. Traboulsee. Myelin damage in relapsing multiple sclerosis is associated with decreased N-acetylaspartate and creatine concentrations. In Proceedings of the American Academy of Neurology (AAN) Annual Meeting, 2016.

A. Traboulsee, A. Javed, R. Tam, R. Carruthers, I. Vavasour, S. Kolind, A. Jacobs, and D. Li. Alemtuzumab slows cortical atrophy over 2 years. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2016.

Y. Yoo, L.Y.W. Tang, T. Brosch, D.K.B. Li, S. Kolind, I. Vavasour, A. Rauscher, A. Traboulsee, and R. Tam. Deep learning of joint myelin-T1w MRI features on normal-appearing brain tissues distinguishes multiple sclerosis from healthy controls. In Proceedings of the Congress of the Pan-Asian Committee for Treatment and Research in Multiple Sclerosis (PACTRIMS), 2016.

S-J Liu, A. Liu, A. MacKay, I. Vavasour, B. Kosaka, S. Beveridge, D.K.B. Li, A. Traboulsee, Y. Zhao, R. Tam, S. Apple-Cresswell, and M.J. McKeown. Graph theoretical approach to altered resting state fMRI cortical networks in multiple sclerosis. In Proceedings of the Canadian Association for Neuroscience (CAN) Annual Meeting, 2015.

E.A. Ljungberg, S. Kolind, R. Tam, M. Freedman, D.K.B. Li, and A. Traboulsee. Correcting cervical spinal cord area for cord length strengthens correlation between atrophy and ambulation. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2015.

E. MacMillan, J. Schubert, I. Vavasour, E. Vianna, A. Dzyakanchuk, Y. Yoo, R. Tam, S. Kolind, and A. Traboulsee. N-acetylaspartate and creatine decrease with myelin damage in relapsing multiple sclerosis. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2015.

S. Meyers, R. Tam, S. Kolind, I. Vavasour, Y. Zhao, D.K.B. Li, A. MacKay, and A. Traboulsee. Changes in brain water content and volume during the first 6 months of multiple sclerosis high dose interferon beta-1a and beta-1b therapy. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2015.

J. Schubert, E. MacMillan, R. Tam, D. Leppert, N. Seneca, E. Vianna, A. Dzyakanchuk, S. Kolind, and A. Traboulsee. Relapsing multiple sclerosis exhibits reduced normal appearing white matter glutamate levels. In Proceedings of the American Academy of Neurology (AAN) Annual Meeting, 2015.

E. Wicks, J.P.C. Chiu, L.Y.W. Tang, K. Lam, A. Riddehough, D.K.B. Li, A. Traboulsee, and R. Tam. Automatic computation of normalized brain volume on 3D T1-weighted MRI scans without registration to standard space. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2015.

N. Bolandzadeh, R. Tam, L. Nagamatsu, L. Hsu, D.K.B. Li, T. Handy, P. Graf, L. Beattie, and T. Liu-Ambrose. Resistance training, white matter lesion progression, and falls risk: a 12-month randomized controlled trial. In Proceedings of the International Society for Posture and Gait Research (ISPGR) World Congress, 2014.

N. Bolandzadeh, R. Tam, L. Hsu, L. Nagamatsu, E. Dao, L. Beattie, and T. Liu-Ambrose. The effect of resistance training on white matter lesion progression: proof-of-concept results from a 12-month RCT. In Proceedings of the Canadian Stroke Congress, 2014.

N. Bolandzadeh, R. Tam, L. Hsu, L. Nagamatsu, E. Dao, L. Beattie, and T. Liu-Ambrose. The effect of resistance training on white matter lesion progression: proof-of-concept results from a 12-month RCT. In Proceedings of the Society for Neuroscience Annual Meeting (Nanosymposium on Brain Wellness: Cognitive Development), 2014.

E. Dao, N. Bolandzadeh, R. Tam, L. Nagamatsu, L. Hsu, D.K.B. Li, and T. Liu-Ambrose. Baseline white matter lesions do not minimize the benefit of resistance training on mobility and balance: results from a 12-month randomized controlled trial. In Proceedings of the International Society for Posture and Gait Research (ISPGR) World Congress, 2014.

M. Jarrett, R. Tam, E. Hernández-Torres, N. Martin, W. Perera, Y. Zhao, E. Shahinfard, D.K.B. Li, J. Taunton, and A. Rauscher. Assessment of brain volume changes, white matter hyperintensities and microbleeds in concussed hockey players. In Proceedings of the Radiological Society of North America (RSNA) Annual Meeting, 2014.

M. Jarrett, R. Tam, E. Hernández-Torres, N. Martin, W. Perera, Y. Zhao, E. Shahinfard, D.K.B. Li, J. Taunton, and A. Rauscher. Prospective investigation of white matter hyperintensities, haemorrhagic lesions, and brain volume changes in concussed hockey players. In Proceedings of the Tenth World Congress on Brain Injury (IBIA 2014), 2014.

S. Kolind, I. Vavasour, A. Rauscher, A. Riddehough, D. Leppert, N. Seneca, A. Mazur, Y. Zhao, R. Tam, A. MacKay, D.K.B. Li, and A. Traboulsee. Myelin-related advanced MRI demonstrates different degrees of change between various white matter tracts in MS. In Proceedings of the American Academy of Neurology (AAN) Annual Meeting, 2014.

E. MacMillan, S. Kolind, D. Leppert, N. Seneca, E. Vianna, A. Dzyakanchuk, R. Tam, and A. Traboulsee. Lower brain glutamate levels in patients with relapsing MS compared to healthy controls. In Proceedings of the Joint ACTRIMS-ECTRIMS meeting, 2014.

S. Rismani, G. Allan, V. Chung, R. Tam, D. Wilson, and H.F.M. Van der Loos. Applying the biodesign innovation process: addressing the inadequate supply of surgical screws in the developing world. In Proceedings of the IEEE Conference on Healthcare Innovation and Point-of-Care Technologies, pages 259–262, 2014.

A. Traboulsee, D.K.B. Li, Y. Zhao, R. Tam, G. Zhao, Y. Cheng, A. Riddehough, F. Dangond, J. Fang, and L. Kappos. Natural evolution of gadolinium-enhancing lesions into chronic black holes in multiple sclerosis: analysis of PRISMS and SPECTRIMS placebo arms. In Proceedings of the Joint ACTRIMS-ECTRIMS meeting, 2014.

A. Traboulsee, D.K.B. Li, Y. Zhao, R. Tam, G. Zhao, Y. Cheng, A. Riddehough, F. Dangond, J. Fang, and L. Kappos. Evolution of gadolinium-enhancing lesions into chronic black holes in patients treated with subcutaneous interferon b-1a in PRISMS and SPECTRIMS. In Proceedings of the Joint ACTRIMS-ECTRIMS meeting, 2014.

A. Traboulsee, D.K.B. Li, Y. Zhao, R. Tam, G. Zhao, Y. Cheng, A. Riddehough, F. Dangond, J. Fang, and L. Kappos. Subcutaneous interferon beta-1a decreases the evolution of gadolinium-enhancing lesions into chronic black holes in relapsing multiple sclerosis. In Proceedings of the American Academy of Neurology (AAN) Annual Meeting, 2014.

I. Vavasour, S. Kolind, A. Rauscher, R. Tam, N. Seneca, D. Leppert, A. MacKay, D.K.B. Li, and A. Traboulsee. Comparison of three putative MR myelin markers in multiple sclerosis subjects and healthy controls. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2014.

S. Garg, R. Tam, D.K.B. Li, C. Roy-Hewitson, Y. Zhao, M. Freedman, and A. Traboulsee. Cortical atrophy in SPMS and its association with cognitive impairment and whole brain and T2 lesion volume over two years. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2013.

H. Kang, R. Tam, A. Traboulsee, Y. Zhao, A. Riddehough, M. Freedman, and D.K.B. Li. Corpus callosum atrophy in a large SPMS cohort and its correlation with PASAT as a cognitive marker. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2013.

E. MacMillan, R. Tam, Y. Zhao, I. Vavasour, D.K.B. Li, J. Oger, M. Freedman, S. Kolind, and A. Traboulsee. Progressive MS shows significant decreases in brain glutamate and glutamine over 2 years. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2013.

B. Russell-Schulz, A. Bley, W. Regan, A. Seddigh, G. Barker, N. Sibtain, R. Tam, A. Traboulsee, S. Williams, P. Brex, and S. Kolind. Primary progressive multiple sclerosis spinal cord volume predicts clinical motor scores. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2013.

P. Smith, D.K.B. Li, A. Traboulsee, and R. Tam. SyN and ART: Quantitative evaluation of two leading open-source image registration software tools for automatic segmentation and measurement of the corpus callosum on MR images of multiple sclerosis patients. In Proceedings of the Annual Meeting of the Radiological Society of North America (RSNA), 2013.

P. Smith, D.K.B. Li, A. Traboulsee, and R. Tam. Measuring the cross-sectional area of the corpus callosum on MRI images: a comparison of two state-of-the-art automatic methods. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2013.

Y. Zhao, A. Traboulsee, D.K.B. Li, A. Riddehough, R. Tam, and A.J. Petkau. Evaluation of an individualized probability index of MRI lesion counts for monitoring patient safety in phase II multiple sclerosis clinical trials. In Proceedings of the Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), 2013.

N. Bolandzadeh, J. C. Davis, R. Tam, T. Handy, and T Liu-Ambrose. The association between cognitive function and white matter lesion location in older adults: a systematic review. Alzheimer’s & Dementia (supplement issue of the Alzheimer’s Association International Conference abstracts), 8(4, Supplement):P528, 2012. [ http ]

S. Meyers, I. Vavasour, C. Laule, S. Kolind, R. Tam, B. Maedler, D.K.B. Li, A. MacKay, and A. Traboulsee. Does fluid intake before scanning affect water content measured in brain? In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2012.

F. Sheikhzadeh and R. Tam. Preliminary results on the clinical relevance of multiple sclerosis lesion distribution independent of lesion volume. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2011.

H. Tran, R. Tam, A. Traboulsee, and D.K.B. Li. Assessing the impact of image registration on texture analysis of MR images. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2009.

S. Meyers, C. Laule, S. Kolind, R. Tam, A. Traboulsee, J. Lee, D.K.B. Li, and A. MacKay. Reproducibility and robustness of myelin water fraction analysis: a comparison of region of interest and pixel by pixel methods. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2008.

R. Tam, A. Riddehough, G. Zhao, A. Traboulsee, and D.K.B. Li. Detection and measurement of data loss due to MRI interleave positioning errors. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2007.

A. Huang, R. Abugharbieh, R. Tam, and A. Traboulsee. Automatic cortex extraction and grey/white matter segmentation from T1-weighted MRI with geodesic active contours. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Scientific Meeting, 2006.

A. Huang, R. Abugharbieh, R. Tam, and A. Traboulsee. Automatic brain extraction of T1-weighted MRI. In Proceedings of the American Roentgen Ray Society (ARRS) Annual Meeting, 2006.

O. Ishaq, G. Hamarneh, R. Tam, A. Traboulsee, and D.K.B. Li. Effects of mid-sagittal plane selection on corpus callosal area. Multiple Sclerosis (special supplementary issue of ECTRIMS 2006 oral presentations), 12(1):S173, 2006.

D.K.B. Li, G. Ebers, A. Traboulsee, R. Tam, D.S. Goodin, and A. Konieczny for the Betaseron/Betaferon LTF Study Group and the UBC MS/MRI Research Group. Interferon beta-1b 16-year long-term follow-up study: MRI outcomes. Multiple Sclerosis (special supplementary issue of ECTRIMS 2006 oral presentations), 12(1):S188–189, 2006.

P. Cahoon, R. Tam, and D. Forsey. Real time telemedicine using shared 3-dimensional workspaces over ATM. In Proceedings of the 11th Annual Canadian Internet Conference (Net ’97), 1997.

Theses

R. Tam. Voronoi ball models for computational shape applications. PhD thesis, The University of British Columbia, 2004.

R. Tam. Efficient transfer and storage of image data for distributed development of biomedical imaging tools. Master’s thesis, The University of British Columbia, 1997.

Last updated 8-JAN-2021