Li, David K. B.

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

Brosch, T., Tang, L. Y. W., Yoo, Y., Li, D. K. B., Traboulsee, A., & Tam, R. (2016) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 460

Revised recommendations of the Consortium of MS Centers task force for a standardized MRI protocol and clinical guidelines for the diagnosis and follow-up of multiple sclerosis

Traboulsee, A., Simon, J. H., Stone, L., Fisher, E., Jones, D. E., Malhotra, A., Newsome, S. D., Oh, J., Reich, D. S., Richert, N., et al. (2016) · American Journal of Neuroradiology

Multiple Sclerosis Research StudiesAdvanced MRI Techniques and Applications

Cited by 340

Magnetic Resonance Imaging of Myelin

Laule, C., Vavasour, I. M., Kolind, S. H., Li, D. K. B., Traboulsee, T. L., Moore, G. R. W., & MacKay, A. L. (2007) · Neurotherapeutics

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 334

2024 MAGNIMS–CMSC–NAIMS consensus recommendations on the use of MRI for the diagnosis of multiple sclerosis

Barkhof, F., Reich, D. S., Oh, J., Rocca, M. A., Li, D. K. B., Sati, P., Azevedo, C. J., Bagnato, F., Calabresi, P. A., Ciccarelli, O., et al. (2025) · The Lancet Neurology

Multiple Sclerosis Research StudiesAdvanced MRI Techniques and Applications

Cited by 113

Pathological basis of diffusely abnormal white matter: insights from magnetic resonance imaging and histology

Laule, C., Vavasour, I. M., Leung, E., Li, D. K., Kozlowski, P., Traboulsee, A. L., Oger, J., MacKay, A. L., & Moore, G. W. (2011) · Multiple Sclerosis Journal

Multiple Sclerosis Research StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 77

Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome

Yoo, Y., Tang, L. Y. W., Li, D. K. B., Metz, L., Kolind, S., Traboulsee, A. L., & Tam, R. C. (2019) · Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Multiple Sclerosis Research StudiesRadiomics and Machine Learning in Medical Imaging

Cited by 67

Complementary information from multi-exponential T2 relaxation and diffusion tensor imaging reveals differences between multiple sclerosis lesions

Kolind, S. H., Laule, C., Vavasour, I. M., Li, D. K. B., Traboulsee, A. L., Mädler, B., Moore, G. R. W., & MacKay, A. L. (2008) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsMultiple Sclerosis Research Studies

Cited by 44

Application and a proposed modification of the 2010 McDonald criteria for the diagnosis of multiple sclerosis in a Canadian cohort of patients with clinically isolated syndromes

Kang, H., Metz, L., Traboulsee, A., Eliasziw, M., Zhao, G., Cheng, Y., Zhao, Y., Li, D., the Minocycline in CIS Study Group, Traboulsee, A., et al. (2014) · Multiple Sclerosis Journal

Multiple Sclerosis Research StudiesClinical Reasoning and Diagnostic Skills

Cited by 25