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Lisa Y.W. Tang
Lisa Y.W. Tang
Data Science Institute, Heart and Lung Innovation, LABlab, MIAL, Simon Fraser University
Bestätigte E-Mail-Adresse bei sfu.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
6622016
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
982018
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
742020
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
562012
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
532016
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
522019
Improving probabilistic image registration via reinforcement learning and uncertainty evaluation
T Lotfi, L Tang, S Andrews, G Hamarneh
Machine Learning in Medical Imaging, 2013
422013
Reliability-driven, spatially-adaptive regularization for deformable registration
LYW Tang, G Hamarneh, R Abugharbieh
International Workshop on Biomedical Image Registration, 173-185, 2010
362010
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
322008
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
282009
Medical Image Registration: A Review
L Tang, G Hamarneh
Book Chapter, 2013
262013
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
262010
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
252006
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
222021
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
212020
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
212015
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
182013
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
162012
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
162008
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
152015
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