Lisa Y. W. Tang

15 papers Journal 5Unranked 10
YearRankTypeTitle / Venue / Authors
2023 J jnl
SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive testing.
CoRR
Lisa Y. W. Tang
2023 J jnl
Severity classification of ground-glass opacity via 2-D convolutional neural network and lung CT scans: a 3-day exploration.
CoRR
Lisa Y. W. Tang
2020 — conf
Predicting Catheter Ablation Outcomes with Pre-ablation Heart Rhythm Data: Less Is More.
MLMI@MICCAI
Lisa Y. W. Tang, Kendall Ho, Roger C. Tam, Nathaniel M. Hawkins, Michael Lim, Jason G. Andrade
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
Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections.
DLMIA/ML-CDS@MICCAI
Adam Porisky, Tom Brosch, Emil Ljungberg, Lisa Y. W. Tang, Youngjin Yoo, Benjamin De Leener, Anthony Traboulsee, Julien Cohen-Adad, 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
2016 — conf
Enhancing accuracy of symmetric random walker image registration via a novel data-consistency measure.
ISBI
Lisa Y. W. Tang, Roger C. Tam, Ghassan Hamarneh
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
2015 J jnl
Examining visible articulatory features in clear and plain speech.
Speech Commun.
Lisa Y. W. Tang, Beverly Hannah, Allard Jongman, Joan A. Sereno, Yue Wang, Ghassan Hamarneh
2015 — conf
Random walker image registration with inverse consistency.
ISBI
Lisa Y. W. Tang, Shawn Andrews, Ghassan Hamarneh
2013 — conf
Random Walks with Efficient Search and Contextually Adapted Image Similarity for Deformable Registration.
MICCAI (2)
Lisa Y. W. Tang, Ghassan Hamarneh