Lisa Y.W. Tang
Lisa Y.W. Tang
Data Science Institute, Heart and Lung Innovation, LABlab, MIAL, Simon Fraser University
Verified email at - Homepage
Cited by
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Deep 3D convolutional encoder networks with shortcuts for multiscale feature integration applied to multiple sclerosis lesion segmentation
T Brosch, LYW Tang, Y Yoo, DKB Li, A Traboulsee, R Tam
IEEE transactions on medical imaging 35 (5), 1229-1239, 2016
Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls
Y Yoo, LYW Tang, T Brosch, DKB Li, S Kolind, I Vavasour, A Rauscher, ...
NeuroImage: Clinical 17, 169-178, 2018
Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT
LYW Tang, HO Coxson, S Lam, J Leipsic, RC Tam, DD Sin
The Lancet Digital Health 2 (5), e259-e267, 2020
Tongue contour tracking in dynamic ultrasound via higher-order MRFs and efficient fusion moves
LYW Tang, T Bressmann, G Hamarneh
Medical image analysis 16 (8), 1503-1520, 2012
Deep learning of brain lesion patterns for predicting future disease activity in patients with early symptoms of multiple sclerosis
Y Yoo, LW Tang, T Brosch, DKB Li, L Metz, A Traboulsee, R Tam
Deep Learning and Data Labeling for Medical Applications: First …, 2016
Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome
Y Yoo, LYW Tang, DKB Li, L Metz, S Kolind, AL Traboulsee, RC Tam
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2019
Improving probabilistic image registration via reinforcement learning and uncertainty evaluation
T Lotfi, L Tang, S Andrews, G Hamarneh
Machine Learning in Medical Imaging, 2013
Reliability-driven, spatially-adaptive regularization for deformable registration
LYW Tang, G Hamarneh, R Abugharbieh
International Workshop on Biomedical Image Registration, 173-185, 2010
Simulation of ground-truth validation data via physically-and statistically-based warps
G Hamarneh, P Jassi, L Tang
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008
Complexity and accuracy of image registration methods in SPECT-guided radiation therapy
LS Yin, L Tang, G Hamarneh, B Gill, A Celler, S Shcherbinin, TF Fua, ...
Physics in medicine and biology 55 (1), 237, 2009
Medical Image Registration: A Review
L Tang, G Hamarneh
Book Chapter, 2013
Graph-based tracking of the tongue contour in ultrasound sequences with adaptive temporal regularization
L Tang, G Hamarneh
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
Co-registration of bone CT and SPECT images using mutual information
L Tang, G Hamarneh, A Celler
2006 IEEE International Symposium on Signal Processing and Information …, 2006
Examining visible articulatory features in clear and plain speech
LYW Tang, B Hannah, A Jongman, J Sereno, Y Wang, G Hamarneh
Speech Communication 75, 1-13, 2015
Impact of female sex on clinical presentation and ablation outcomes in the CIRCA-DOSE study
RJR Yao, L Macle, MW Deyell, L Tang, NM Hawkins, T Sedlak, I Nault, ...
Clinical Electrophysiology 6 (8), 945-954, 2020
Random walks with efficient search and contextually adapted image similarity for deformable registration
L Tang, G Hamarneh
Medical Image Computing and Computer-Assisted Intervention--MICCAI, 2013
Autonomic Alterations After Pulmonary Vein Isolation in the CIRCA‐DOSE (Cryoballoon vs Irrigated Radiofrequency Catheter Ablation) Study
LYW Tang, NM Hawkins, K Ho, R Tam, MW Deyell, L Macle, A Verma, ...
Journal of the American Heart Association 10 (5), e018610, 2021
Locally-adaptive similarity metric for deformable medical image registration
L Tang, A Hero, G Hamarneh
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 728-731, 2012
SMRFI: Shape matching via registration of vector-valued feature images
L Tang, G Hamarneh
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
Deep convolutional encoder networks for multiple sclerosis lesion segmentation. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015. MICCAI 2015
T Brosch, Y Yoo, LY Tang, DK Li, A Traboulsee, R Tam
Lecture Notes in Computer Science, Springer, Cham 9351, 2015
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