David K. B. Li

16 papers Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2020 J jnl
Myelin water imaging data analysis in less than one minute.
NeuroImage
Hanwen Liu, Qing-San Xiang, Roger C. Tam, Adam V. Dvorak, Alex L. MacKay, Shannon H. Kolind, Anthony Traboulsee, Irene M. Vavasour, David K. B. Li, John K. Kramer, Cornelia Laule
2019 J jnl
Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Youngjin Yoo, Lisa Y. W. Tang, David K. B. Li, Luanne Metz, Shannon H. Kolind, Anthony Traboulsee, Roger C. Tam
2017 — conf
Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis.
MICCAI (3)
Youngjin Yoo, Lisa Y. W. Tang, Su-Hyun Kim, Ho Jin Kim, Lisa Eunyoung Lee, David K. B. Li, Shannon H. Kolind, Anthony Traboulsee, Roger C. Tam
2016 — conf
Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction.
MICCAI (2)
Lisa Y. W. Tang, Tom Brosch, Xingtong Liu, Youngjin Yoo, Anthony Traboulsee, David K. B. Li, Roger C. Tam
2016 J jnl
Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation.
IEEE Trans. Medical Imaging
Tom Brosch, Lisa Y. W. Tang, Youngjin Yoo, David K. B. Li, Anthony Traboulsee, Roger C. Tam
2016 — conf
Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis.
LABELS/DLMIA@MICCAI
Youngjin Yoo, Lisa Y. W. Tang, Tom Brosch, David K. B. Li, Luanne Metz, Anthony Traboulsee, Roger C. Tam
2015 — conf
Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues.
MICCAI (3)
Lisa Y. W. Tang, Ghassan Hamarneh, Anthony Traboulsee, David K. B. Li, Roger C. Tam
2015 — conf
Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation.
MICCAI (3)
Tom Brosch, Youngjin Yoo, Lisa Y. W. Tang, David K. B. Li, Anthony Traboulsee, Roger C. Tam
2014 — conf
Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation.
MLMI
Youngjin Yoo, Tom Brosch, Anthony Traboulsee, David K. B. Li, Roger C. Tam
2014 — conf
Modeling the Variability in Brain Morphology and Lesion Distribution in Multiple Sclerosis by Deep Learning.
MICCAI (2)
Tom Brosch, Youngjin Yoo, David K. B. Li, Anthony Traboulsee, Roger C. Tam
2011 J jnl
Myelin water and T
NeuroImage
Erin L. MacMillan, Burkhard Mädler, Nicole Fichtner, Marcel F. Dvorak, David K. B. Li, Armin Curt, Alex L. MacKay
2010 J jnl
Optimizing the Use of Radiologist Seed Points for Improved Multiple Sclerosis Lesion Segmentation.
IEEE Trans. Biomed. Eng.
Jon McAusland, Roger C. Tam, Erick Wong, Andrew Riddehough, David K. B. Li
2009 J jnl
Detection and measurement of coverage loss in interleaved multi-acquisition brain MRIs due to motion-induced inter-slice misalignment.
Medical Image Anal.
Roger C. Tam, Andrew Riddehough, David K. B. Li
2008 J jnl
Complementary information from multi-exponential T
NeuroImage
Shannon H. Kolind, Cornelia Laule, Irene M. Vavasour, David K. B. Li, Anthony Traboulsee, Burkhard Mädler, G. R. Wayne Moore, Alex L. MacKay
2008 J jnl
Myelin water imaging of multiple sclerosis at 7 T: Correlations with histopathology.
NeuroImage
Cornelia Laule, Piotr Kozlowski, Esther Leung, David K. B. Li, Alex L. MacKay, G. R. Wayne Moore
2006 J jnl
Reproducibility and reliability of MR measurements in white matter: Clinical implications.
NeuroImage
Irene M. Vavasour, Campbell M. Clark, David K. B. Li, Alex L. MacKay