Prof. Jun Zhao Profile

Prof. Jun Zhao

at Shanghai Jiao Tong Univ

SPIE Involvement:

Author

Publications (20)

Proceedings Article | 15 February 2021 Presentation + Paper

Lung nodule malignancy prediction in chest CT scans based on a CNN model with auxiliary task learning

Xiaomeng Gu, Fucai Chen, Weiyang Xie, Jun Zhao, Qiang Li

Proceedings Volume 11597, 115970S (2021) https://doi.org/10.1117/12.2581215

KEYWORDS: Lung, Computer aided diagnosis and therapy, Computed tomography, Chest, Solid modeling, Databases, Receivers, Convolutional neural networks, Computing systems, Binary data

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Proceedings Article | 15 February 2021 Presentation + Paper

Effect of CAD system with a vessel suppression function on clinical lung nodule detection in chest CT scans

Xiaomeng Gu, Yuliang Chai, Weiyang Xie, Jun Zhao, Qiang Li

Proceedings Volume 11599, 115990J (2021) https://doi.org/10.1117/12.2582059

KEYWORDS: Computed tomography, Chest, Lung, CAD systems, Receivers, Computer-aided diagnosis

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Proceedings Article | 15 February 2021 Presentation + Paper

Non-contact respiratory triggering for clinical MRI using frequency modulated continuous wave radar

Han Wang, Yiran Li, Xinyuan Xia, Lingzhi Hu, Jun Zhao, Qun Chen

Proceedings Volume 11595, 1159511 (2021) https://doi.org/10.1117/12.2582141

KEYWORDS: Magnetic resonance imaging, Radar, Modulation, Vital signs, Sensors, Scanners, Radar sensor technology, Pulmonary disorders, Interfaces, Image quality

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Proceedings Article | 16 March 2020 Paper

Lung vessel suppression and its effect on nodule detection in chest CT scans

Xiaomeng Gu, Weiyang Xie, Qiming Fang, Jun Zhao, Qiang Li

Proceedings Volume 11314, 113141E (2020) https://doi.org/10.1117/12.2549405

KEYWORDS: Lung, Image segmentation, Computed tomography, Chest, CAD systems, 3D image processing, Lung cancer

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Proceedings Article | 10 March 2020 Paper

Unsupervised learning-based deformable registration of temporal chest radiographs to detect interval change

Qiming Fang, Jichao Yan, Xiaomeng Gu, Jun Zhao, Qiang Li

Proceedings Volume 11313, 113132X (2020) https://doi.org/10.1117/12.2549211

KEYWORDS: X-ray imaging, Image registration, Chest imaging, Convolution, Image segmentation, Algorithm development, Lung, Convolutional neural networks, Image enhancement, Network architectures, Image quality

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Proceedings Article | 3 March 2017 Presentation + Paper

Automatic detection of lung nodules: false positive reduction using convolution neural networks and handcrafted features

Ling Fu, Jingchen Ma, Yacheng Ren, Youn Seon Han, Jun Zhao

Proceedings Volume 10134, 101340A (2017) https://doi.org/10.1117/12.2253995

KEYWORDS: Lung cancer, Computer-aided diagnosis, Blood, CAD systems, Network architectures

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Proceedings Article | 5 April 2016 Paper

Automatic lung nodule classification with radiomics approach

Jingchen Ma, Qian Wang, Yacheng Ren, Haibo Hu, Jun Zhao

Proceedings Volume 9789, 978906 (2016) https://doi.org/10.1117/12.2220768

KEYWORDS: Lung, Lung cancer, Computed tomography, Computer aided diagnosis and therapy, Cancer, Image processing, Data archive systems, Imaging informatics, Diagnostics and therapeutics, Tumors, Diagnostics, Feature extraction, Visualization

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Proceedings Article | 17 March 2015 Paper

e-Science platform for translational biomedical imaging research: running, statistics, and analysis

Tusheng Wang, Yuanyuan Yang, Kai Zhang, Mingqing Wang, Jun Zhao, Lisa Xu, Jianguo Zhang

Proceedings Volume 9418, 941815 (2015) https://doi.org/10.1117/12.2082516

KEYWORDS: Biomedical optics, Medical research, Analytical research, Image processing, Statistical analysis, Medical imaging, Imaging systems, Biological research, Data centers, Computer simulations

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Proceedings Article | 28 September 2013 Paper

Spectrography for 3D analysis from a single spectral view

Yan Xi, Jun Zhao, Xiaojing Huang, Hengyong Yu, Yuxin Wang, Ge Wang

Proceedings Volume 8845, 88450I (2013) https://doi.org/10.1117/12.2023464

KEYWORDS: X-rays, Optical spheres, Sensors, Diffraction, Free electron lasers, Numerical simulations, Signal detection, X-ray imaging, Fourier transforms, Reconstruction algorithms

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