Mr. Yihao Liu Profile

Yihao Liu

at Johns Hopkins Univ

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Author

Publications (9)

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

Revisiting registration-based image synthesis: a focus on unsupervised MR image synthesis

Savannah Hays, Lianrui Zuo, Yihao Liu, Anqi Feng, Jiachen Zhuo, Jerry Prince, Aaron Carass

Proceedings Volume 12926, 1292612 (2024) https://doi.org/10.1117/12.3006425

KEYWORDS: Education and training, Image segmentation, Magnetic resonance imaging, Deformation, Anatomy, Image registration, Image visualization, Image fusion, Visualization, Image processing

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Proceedings Article | 3 April 2023 Poster + Paper

Unsupervised quality assurance for brain MR image rigid registration using latent shape representation

Yuan Xue, Lianrui Zuo, Samuel Remedios, Blake Dewey, Peiyu Duan, Yihao Liu, Rendong Zhang, Scott Newsome, Ellen Mowry, Aaron Carass, Jerry Prince

Proceedings Volume 12464, 124641G (2023) https://doi.org/10.1117/12.2647484

KEYWORDS: Image registration, Magnetic resonance imaging, 3D modeling, Brain, Education and training, Binary data, Rigid registration, Neuroimaging, Image quality, Multiple sclerosis

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Proceedings Article | 3 April 2023 Presentation + Paper

A latent space for unsupervised MR image quality control via artifact assessment

Lianrui Zuo, Yuan Xue, Blake Dewey, Yihao Liu, Jerry Prince, Aaron Carass

Proceedings Volume 12464, 1246418 (2023) https://doi.org/10.1117/12.2652917

KEYWORDS: Image quality, Magnetic resonance imaging, Education and training, Image processing, Feature extraction

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Proceedings Article | 4 April 2022 Presentation + Paper

Cranial meninges reconstruction based on convolutional networks and deformable models: applications to longitudinal study of normal aging

Peiyu Duan, Shuo Han, Lianrui Zuo, Yang An, Yihao Liu, Ahmed Alshareef, Junghoon Lee, Aaron Carass, Susan Resnick, Jerry Prince

Proceedings Volume 12032, 1203215 (2022) https://doi.org/10.1117/12.2613146

KEYWORDS: Brain, Magnetic resonance imaging, Statistical analysis, Spherical lenses, Reconstruction algorithms, Magnetism, Image segmentation, Data modeling, Convolutional neural networks, Statistical modeling

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Label super resolution for 3D magnetic resonance images using deformable U-net

Di Liu, Jiang Liu, Yihao Liu, Ran Tao, Jerry Prince, Aaron Carass

Proceedings Volume 11596, 1159628 (2021) https://doi.org/10.1117/12.2580932

KEYWORDS: Super resolution, Magnetism, Magnetic resonance imaging, Lawrencium, Image resolution, Image segmentation, Signal to noise ratio, Performance modeling, Medical imaging

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Proceedings Article | 10 March 2020 Paper

Variational intensity cross channel encoder for unsupervised vessel segmentation on OCT angiography

Yihao Liu, Lianrui Zuo, Aaron Carass, Yufan He, Angeliki Filippatou, Sharon Solomon, Shiv Saidha, Peter Calabresi, Jerry Prince

Proceedings Volume 11313, 113130Y (2020) https://doi.org/10.1117/12.2549967

KEYWORDS: Image segmentation, Angiography, Optical coherence tomography, Network architectures, Capillaries, Eye

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Proceedings Article | 10 March 2020 Paper

Segmenting retinal OCT images with inter-B-scan and longitudinal information

Yufan He, Aaron Carass, Yihao Liu, Angeliki Filippatou, Bruno Jedynak, Sharon Solomon, Shiv Saidha, Peter Calabresi, Jerry Prince

Proceedings Volume 11313, 113133C (2020) https://doi.org/10.1117/12.2549857

KEYWORDS: Image segmentation, Optical coherence tomography, 3D image processing, Convolution, Image registration, Network architectures, Retina, Computer programming

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Proceedings Article | 10 March 2020 Presentation + Paper

Adversarial domain adaptation for multi-device retinal OCT segmentation

Yufan He, Aaron Carass, Yihao Liu, Shiv Saidha, Peter Calabresi, Jerry Prince

Proceedings Volume 11313, 1131309 (2020) https://doi.org/10.1117/12.2549839

KEYWORDS: Image segmentation, Data modeling, Optical coherence tomography, Convolution

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Showing 5 of 9 publications

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