Lisa Y. W. Tang - researchr alias

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Viewing Publication 1 - 13 from 13

2020

Predicting Catheter Ablation Outcomes with Pre-ablation Heart Rhythm Data: Less Is MoreLisa Y. W. Tang, Kendall Ho, Roger C. Tam, Nathaniel M. Hawkins, Michael Lim, Jason G. Andrade. miccai 2020: 563-571 [doi]

2019

Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndromeYoungjin Yoo, Lisa Y. W. Tang, David K. B. Li, Luanne Metz, Shannon H. Kolind, Anthony Traboulsee, Roger C. Tam. cmbbeiv, 7(3):250-259, 2019. [doi]

2017

2016

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion SegmentationTom Brosch, Lisa Y. W. Tang, Youngjin Yoo, David K. B. Li, Anthony Traboulsee, Roger C. Tam. tmi, 35(5):1229-1239, 2016. [doi]

Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and PredictionLisa Y. W. Tang, Tom Brosch, Xingtong Liu, Youngjin Yoo, Anthony Traboulsee, David K. B. Li, Roger C. Tam. miccai 2016: 406-414 [doi]

Enhancing accuracy of symmetric random walker image registration via a novel data-consistency measureLisa Y. W. Tang, Roger C. Tam, Ghassan Hamarneh. isbi 2016: 28-31 [doi]

Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple SclerosisYoungjin Yoo, Lisa Y. W. Tang, Tom Brosch, David K. B. Li, Luanne Metz, Anthony Traboulsee, Roger C. Tam. miccai 2016: 86-94 [doi]

2015

2013

Random Walks with Efficient Search and Contextually Adapted Image Similarity for Deformable RegistrationLisa Y. W. Tang, Ghassan Hamarneh. miccai 2013: 43-50 [doi]

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