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Disambiguation of "Tang, Lisa Y. W."

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Enhancing accuracy of symmetric random walker image registration via a novel data-consistency measure.

, , and . ISBI, page 28-31. IEEE, (2016)

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Tang Tang

Gaëlle Lisack

Oleg Lisagor

Hamel Lisa

Jacob Lisakafu

 

Other publications of authors with the same name

Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome., , , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 7 (3): 250-259 (2019)Predicting Catheter Ablation Outcomes with Pre-ablation Heart Rhythm Data: Less Is More., , , , , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 563-571. Springer, (2020)Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction., , , , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 406-414. (2016)Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation., , , , , and . IEEE Trans. Medical Imaging, 35 (5): 1229-1239 (2016)SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive testing.. CoRR, (2023)Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections., , , , , , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 330-337. Springer, (2017)Severity classification of ground-glass opacity via 2-D convolutional neural network and lung CT scans: a 3-day exploration.. CoRR, (2023)Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation., , , , , and . MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 3-11. Springer, (2015)Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis., , , , , , , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 480-488. Springer, (2017)Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis., , , , , , and . LABELS/DLMIA@MICCAI, volume 10008 of Lecture Notes in Computer Science, page 86-94. (2016)