Search Results for author: Thomas S. Hatsukami

Found 2 papers, 0 papers with code

Deep Open Snake Tracker for Vessel Tracing

no code implementations19 Jul 2021 Li Chen, Wenjin Liu, Niranjan Balu, Mahmud Mossa-Basha, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan

Vessel tracing by modeling vascular structures in 3D medical images with centerlines and radii can provide useful information for vascular health.

Y-net: 3D intracranial artery segmentation using a convolutional autoencoder

no code implementations19 Dec 2017 Li Chen, Yanjun Xie, Jie Sun, Niranjan Balu, Mahmud Mossa-Basha, Kristi Pimentel, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan

Automated segmentation of intracranial arteries on magnetic resonance angiography (MRA) allows for quantification of cerebrovascular features, which provides tools for understanding aging and pathophysiological adaptations of the cerebrovascular system.

Binary Classification General Classification +1

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