Mr. Zhangxing Bian Profile

Zhangxing Bian

at Johns Hopkins University

SPIE Involvement:

Author

Publications (11)

Proceedings Article | 2 April 2024 Poster + Paper

Deep learning-based segmentation of hydrocephalus brain ventricle from ultrasound

Yuli Wang, Yihao Liu, Shuwen Wei, Yuan Xue, Lianrui Zuo, Samuel Remedios, Zhangxing Bian, Michael Meggyesy, Jheesoo Ahn, Ryan Lee, Mark Luciano, Jerry Prince, Aaron Carass

Proceedings Volume 12926, 1292639 (2024) https://doi.org/10.1117/12.3007668

KEYWORDS: Ultrasonography, Image segmentation, Brain, Neuroimaging, Deep learning, Video, Magnetic resonance imaging, Education and training, Computed tomography, Convolution

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Proceedings Article | 2 April 2024 Presentation + Paper

Is registering raw tagged-MR enough for strain estimation in the era of deep learning?

Zhangxing Bian, Ahmed Alshareef, Shuwen Wei, Junyu Chen, Yuli Wang, Jonghye Woo, Dzung Pham, Jiachen Zhuo, Aaron Carass, Jerry Prince

Proceedings Volume 12926, 129260A (2024) https://doi.org/10.1117/12.3006906

KEYWORDS: Deformation, Anatomy, Magnetic resonance imaging, Deep learning, Motion estimation, Motion measurement, Image registration

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SPIE Journal Paper | 31 October 2023 Open Access

Fully automated pipeline for measurement of the thoracic aorta using joint segmentation and localization neural network

Sudeep Katakol, Timothy J. Baker, Zhangxing Bian, Yanglong Lu, Greg Spahlinger, Charles R. Hatt, Nicholas S. Burris

JMI, Vol. 10, Issue 05, 051810, (October 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.5.051810

KEYWORDS: Aorta, Education and training, Image segmentation, Arteries, Computed tomography, Anatomy, Voxels, Standards development, Aneurysms, Algorithm development

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Proceedings Article | 7 April 2023 Presentation + Paper

Fully automated aortic measurements via CNN-based joint segmentation and localization

Sudeep Katakol, Zhangxing Bian, Yanglong Lu, Greg Spahlinger, Charles Hatt, Nicholas Burris

Proceedings Volume 12465, 1246514 (2023) https://doi.org/10.1117/12.2654749

KEYWORDS: Education and training, Aorta, Image segmentation, Arteries, Computed tomography, Visualization, Aneurysms, Standards development, Machine learning, Image processing

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Proceedings Article | 3 April 2023 Presentation + Paper

FastCod: fast brain connectivity in diffusion imaging

Zhangxing Bian, Muhan Shao, Jiachen Zhuo, Rao Gullapalli, Aaron Carass, Jerry Prince

Proceedings Volume 12464, 124640P (2023) https://doi.org/10.1117/12.2653644

KEYWORDS: Thalamus, Brain, Neuroimaging, Diffusion, Visualization, Magnetic resonance imaging

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Proceedings Article | 3 April 2023 Poster + Paper

Segmenting thalamic nuclei from manifold projections of multi-contrast MRI

Chang Yan, Muhan Shao, Zhangxing Bian, Anqi Feng, Yuan Xue, Jiachen Zhuo, Rao Gullapalli, Aaron Carass, Jerry Prince

Proceedings Volume 12464, 1246434 (2023) https://doi.org/10.1117/12.2654405

KEYWORDS: Thalamus, Magnetic resonance imaging, Diffusion tensor imaging

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Proceedings Article | 3 April 2023 Poster + Paper

New starting point registration method for tagged MRI tongue motion estimation

Jinglun Yu, Muhan Shao, Zhangxing Bian, Xiao Liang, Jiachen Zhuo, Maureen Stone, Jerry Prince

Proceedings Volume 12464, 1246429 (2023) https://doi.org/10.1117/12.2653913

KEYWORDS: Deformation, Motion estimation, Tongue, Magnetic resonance imaging, Image registration, 3D image processing, Algorithm development

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Proceedings Article | 3 April 2023 Presentation + Paper

DrDisco: Deep Registration for Distortion Correction of diffusion MRI with single phase-encoding

Zhangxing Bian, Muhan Shao, Aaron Carass, Jerry Prince

Proceedings Volume 12464, 124641A (2023) https://doi.org/10.1117/12.2653649

KEYWORDS: Image registration, Diffusion magnetic resonance imaging

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Proceedings Article | 4 April 2022 Presentation + Paper

LitCall: learning implicit topology for CNN-based aortic landmark localization

Zhangxing Bian, Jiayang Zhong, Yanglong Lu, Chuck Hatt, Nicholas Burris

Proceedings Volume 12032, 120320X (2022) https://doi.org/10.1117/12.2612841

KEYWORDS: Aorta, Image analysis, Computed tomography

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Proceedings Article | 15 February 2021 Presentation + Paper

Segmentation of the thoracic aorta using an attention-gated U-Net

Jiayang Zhong, Zhangxing Bian, Charles Hatt, Nicholas Burris

Proceedings Volume 11597, 115970M (2021) https://doi.org/10.1117/12.2581947

KEYWORDS: Image segmentation, Aorta, Error analysis, Data modeling, Aneurysms, Image registration, Image analysis, Convolutional neural networks, Computed tomography, Angiography

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

A deformable image registration based method to assess directionality of thoracic aortic aneurysm growth

Zhangxing Bian, Jiayang Zhong, Charles Hatt, Nicholas Burris

Proceedings Volume 11596, 115962P (2021) https://doi.org/10.1117/12.2581937

KEYWORDS: Image registration, Aneurysms, Image segmentation, 3D image processing

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Showing 5 of 11 publications

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