Dr. Jian Zhou Profile

Dr. Jian Zhou

Senior Principal Scientist at Canon Medical Research USA, Inc.

SPIE Involvement:

Author

Publications (11)

Proceedings Article | 7 April 2023 Presentation + Paper

Automated right coronary artery localizer using deep learning for optimal cardiac phase selection

Chih-Chieh Liu, Qiulin Tang, Liang Cai, Zhou Yu, Jian Zhou

Proceedings Volume 12465, 124650T (2023) https://doi.org/10.1117/12.2655286

KEYWORDS: Image quality, Heart, Medical image reconstruction, Image segmentation, Image restoration, Deep learning, Arteries, Computed tomography

Read Abstract +

Proceedings Article | 18 October 2022 Open Access

Deep learning enabled wide-coverage high-resolution cardiac CT

Tzu-Cheng Lee, Jian Zhou, John Schuzer, Masakazu Matsuura, Takuya Nemoto, Hiroki Taguchi, Zhou Yu, Liang Cai

Proceedings Volume 12304, 123041O (2022) https://doi.org/10.1117/12.2647130

KEYWORDS: Image resolution, Sensors, X-ray computed tomography, Super resolution, Modulation transfer functions, Computed tomography, Scanners, Spatial resolution, Imaging systems, Resolution enhancement technologies

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 4 April 2022 Poster + Paper

Deep learning enabled wide-coverage high-resolution cardiac CT

Tzu-Cheng Lee, Jian Zhou, Zhou Yu, Liang Cai

Proceedings Volume 12031, 120312O (2022) https://doi.org/10.1117/12.2611817

KEYWORDS: Image resolution, Sensors, X-ray computed tomography, Super resolution, Modulation transfer functions, Scanners, Computed tomography, Spatial resolution, Resolution enhancement technologies, Imaging systems

Read Abstract +

Proceedings Article | 4 April 2022 Poster + Paper

Sparse-view CT spatial resolution enhancement via a densely connected convolutional neural network with spatial guidance

Nimu Yuan, Jian Zhou, Jinyi Qi

Proceedings Volume 12031, 120312F (2022) https://doi.org/10.1117/12.2611818

KEYWORDS: Spatial resolution, Signal to noise ratio, X-ray computed tomography, Resolution enhancement technologies, Convolutional neural networks, Image quality, Temporal resolution, Computed tomography

Read Abstract +

Proceedings Article | 16 March 2020 Presentation + Paper

A cascaded deep-learning reconstruction method for sparse-view kV-switching dual-energy CT

Ruoqiao Zhang, Jian Zhou, Zhou Yu

Proceedings Volume 11312, 1131223 (2020) https://doi.org/10.1117/12.2549852

KEYWORDS: Dual energy imaging, Medical image reconstruction, Machine learning, Image quality, Switching, Iodine, Convolutional neural networks, Data acquisition, X-rays, Spatial resolution, X-ray computed tomography, Modulation

Read Abstract +

Proceedings Article | 28 May 2019 Paper

Feature aware deep learning CT image reconstruction

Masakazu Matsuura, Jian Zhou, Naruomi Akino, Zhou Yu

Proceedings Volume 11072, 110721B (2019) https://doi.org/10.1117/12.2534614

KEYWORDS: Tissues, Bone, Lung, Image resolution, Abdomen, CT reconstruction, Spatial resolution, X-ray computed tomography, Neural networks, Reconstruction algorithms

Read Abstract +

Proceedings Article | 28 May 2019 Paper

Deep learning based adaptive filtering for projection data noise reduction in x-ray computed tomography

Tzu-Cheng Lee, Jian Zhou, Zhou Yu

Proceedings Volume 11072, 110721D (2019) https://doi.org/10.1117/12.2534838

KEYWORDS: Digital filtering, Denoising, Data processing, X-ray computed tomography, Image processing, Image filtering, Data acquisition, Neural networks, Linear filtering, X-ray imaging

Read Abstract +

Proceedings Article | 28 May 2019 Paper

Low-dose CT image denoising without high-dose reference images

Nimu Yuan, Jian Zhou, Jinyi Qi

Proceedings Volume 11072, 110721C (2019) https://doi.org/10.1117/12.2533654

KEYWORDS: Denoising, X-ray computed tomography, Computed tomography, Data modeling, Neural networks, Signal to noise ratio, Image denoising, Medical research

Read Abstract +

Proceedings Article | 1 March 2019 Presentation + Paper

Low-dose CT count-domain denoising via convolutional neural network with filter loss

Nimu Yuan, Jian Zhou, Kuang Gong, Jinyi Qi

Proceedings Volume 10948, 109480R (2019) https://doi.org/10.1117/12.2513479

KEYWORDS: Denoising, X-ray computed tomography, Network architectures, Computed tomography, Convolutional neural networks, Distance measurement, Reconstruction algorithms

Read Abstract +

Proceedings Article | 17 March 2011 Paper

Fast iterative image reconstruction using sparse matrix factorization with GPU acceleration

Jian Zhou, Jinyi Qi

Proceedings Volume 7961, 79610K (2011) https://doi.org/10.1117/12.878799

KEYWORDS: Image restoration, Optical spheres, Matrices, Systems modeling, Computing systems, Sensors, Imaging systems, Error control coding, Projection systems, X-rays

Read Abstract +

Proceedings Article | 18 March 2008 Paper

A blob-based tomographic reconstruction of 3D coronary trees from rotational x-ray angiography

Jian Zhou, Alexandre Bousse, Guanyu Yang, Jean-Jacques Bellanger, Limin Luo, Christine Toumoulin, Jean-Louis Coatrieux

Proceedings Volume 6913, 69132N (2008) https://doi.org/10.1117/12.769478

KEYWORDS: X-rays, 3D modeling, Angiography, Reconstruction algorithms, Tomography, 3D image reconstruction, Tissues, Ytterbium, Expectation maximization algorithms, Image filtering

Read Abstract +

Showing 5 of 11 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years