David K. B. Li - Citegraph

Author Info

Name	Affiliation	Papers
DAVID K. B. LI	Department of Radiology, University of British Columbia, Vancouver, BC, Canada	12
Collaborators	Citations	PageRank
29	131	8.27
Referers	Referees	References
635	327	104

Search Limit

100635

Publications (12 rows)

Collaborators (29 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Myelin water imaging data analysis in less than one minute.	2	0.43	2020
Deep Learning Of Brain Lesion Patterns And User-Defined Clinical And Mri Features For Predicting Conversion To Multiple Sclerosis From Clinically Isolated Syndrome	2	0.38	2019
Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis.	0	0.34	2017
Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation.	72	2.01	2016
Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction.	0	0.34	2016
Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues	1	0.37	2015
Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation	22	1.29	2015
A new hybrid tone mapping scheme for high dynamic range (HDR) videos	2	0.38	2015
Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation.	7	0.71	2014
Modeling the variability in brain morphology and lesion distribution in multiple sclerosis by deep learning.	12	0.65	2014
Complementary information from multi-exponential T2 relaxation and diffusion tensor imaging reveals differences between multiple sclerosis lesions	6	0.64	2008
Reproducibility and reliability of MR measurements in white matter: clinical implications.	5	0.73	2006

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