Dr. Zhiqiang Tian Profile

Dr. Zhiqiang Tian

at Xi'an Jiaotong Univ

SPIE Involvement:

Author

Publications (14)

Proceedings Article | 28 October 2021 Paper

Multi-agent reinforcement learning for prostate localization based on multi-scale image representation

Chenyang Zheng, Xiangyu Si, Lei Sun, Zhang Chen, Linghao Yu, Zhiqiang Tian

Proceedings Volume 11884, 118841G (2021) https://doi.org/10.1117/12.2605920

KEYWORDS: Prostate, Magnetic resonance imaging, Convolution, Medical imaging, Detection and tracking algorithms, Network architectures, Machine learning, Visualization, Image scaling, Source localization

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Proceedings Article | 28 October 2021 Paper

Online-GCN: an online interactive segmentation method based on graph convolutional network

Lei Sun, Chenyang Zheng, Zhang Chen, Haojie Zheng, Shuai Liu, Zhengping Na, Zhiqiang Tian

Proceedings Volume 11884, 1188415 (2021) https://doi.org/10.1117/12.2605108

KEYWORDS: Image segmentation, Computer programming, Image processing algorithms and systems, Image processing, Feature extraction, Performance modeling, Neural networks, Convolution, Process modeling

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Proceedings Article | 28 October 2021 Paper

An adaptive anchor neural network for defect detection in aluminum profiles images

Liangjie Dong, Huan Wang, Bo Xu, Yaoyue Zheng, Yarong Shi, Tao Xu, Zhiqiang Tian

Proceedings Volume 11884, 118840X (2021) https://doi.org/10.1117/12.2604761

KEYWORDS: Aluminum, Convolution, Defect detection, Avalanche photodetectors, Autoregressive models, Neural networks, Feature extraction, Performance modeling

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Automatic segmentation of the prostate on MR images based on anatomy and deep learning

Lei Tao, Ling Ma, Maoqiang Xie, Xiabi Liu, Zhiqiang Tian, Baowei Fei

Proceedings Volume 11598, 115981N (2021) https://doi.org/10.1117/12.2581893

KEYWORDS: Image segmentation, Prostate, Magnetic resonance imaging, 3D image processing

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Proceedings Article | 12 October 2020 Paper

Higher accuracy and lower complexity: convolutional neural network for multi-organ segmentation

Jingyi Song, Zhiqiang Tian, Chengyang Zhang, Yaoyue Zheng, Xiaofu Yu, Zhong Shi

Proceedings Volume 11574, 1157408 (2020) https://doi.org/10.1117/12.2577009

KEYWORDS: Image segmentation, Convolution, Computed tomography, Computer programming, Lung, Convolutional neural networks, Spinal cord, Heart, Chest

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Proceedings Article | 16 March 2020 Paper

Multi-step segmentation for prostate MR image based on reinforcement learning

Xiangyu Si, Zhiqiang Tian, Xiaojian Li, Zhang Chen, Gen Li, James Dormer

Proceedings Volume 11315, 113152R (2020) https://doi.org/10.1117/12.2550448

KEYWORDS: Image segmentation, Prostate, Medical imaging, Magnetic resonance imaging, Neural networks, Convolution

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Proceedings Article | 16 March 2020 Paper

Exploiting confident information for weakly supervised prostate segmentation based on image-level labels

Zhang Chen, Zhiqiang Tian, Xiaojian Li, Yinshu Zhang, James Dormer

Proceedings Volume 11315, 1131523 (2020) https://doi.org/10.1117/12.2549260

KEYWORDS: Prostate, Image segmentation, Magnetic resonance imaging, Prostate cancer, Convolution, Medical imaging

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SPIE Journal Paper | 17 January 2018 Open Access

PSNet: prostate segmentation on MRI based on a convolutional neural network

Zhiqiang Tian, Lizhi Liu, Zhenfeng Zhang, Baowei Fei

JMI, Vol. 5, Issue 02, 021208, (January 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.2.021208

KEYWORDS: Image segmentation, Prostate, Magnetic resonance imaging, Convolutional neural networks, Data modeling, Medical imaging, Prostate cancer, Image classification, Magnetism, Ultrasonography

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Proceedings Article | 3 March 2017 Presentation + Paper

Deep convolutional neural network for prostate MR segmentation

Zhiqiang Tian, Lizhi Liu, Baowei Fei

Proceedings Volume 10135, 101351L (2017) https://doi.org/10.1117/12.2254621

KEYWORDS: Convolutional neural networks, Biomedical engineering, Prostate, Image segmentation, Magnetic resonance imaging, Neural networks, Biopsy, Prostate cancer, Image classification, Medical imaging, Data modeling, Radiology

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Proceedings Article | 29 March 2016 Paper

Superpixel-based spectral classification for the detection of head and neck cancer with hyperspectral imaging

Hyunkoo Chung, Guolan Lu, Zhiqiang Tian, Dongsheng Wang, Zhuo Georgia Chen, Baowei Fei

Proceedings Volume 9788, 978813 (2016) https://doi.org/10.1117/12.2216559

KEYWORDS: Hyperspectral imaging, Cancer, Head, Neck, Image classification, Research management, Feature extraction, Information technology, Tissues, Optical imaging, Tumors, Image segmentation, Principal component analysis, Imaging systems, Green fluorescent protein

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Proceedings Article | 21 March 2016 Paper

Combining population and patient-specific characteristics for prostate segmentation on 3D CT images

Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Funmilayo Tade, David Schuster, Baowei Fei

Proceedings Volume 9784, 978427 (2016) https://doi.org/10.1117/12.2216255

KEYWORDS: Image segmentation, Prostate, Computed tomography, Data modeling, Probability theory, Prostate cancer, Machine learning, Pattern recognition, Cancer, Binary data, Picosecond phenomena

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Proceedings Article | 18 March 2016 Paper

Random walk based segmentation for the prostate on 3D transrectal ultrasound images

Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Peter Nieh, Viraj Master, David Schuster, Baowei Fei

Proceedings Volume 9786, 978607 (2016) https://doi.org/10.1117/12.2216526

KEYWORDS: Image segmentation, Prostate, Ultrasonography, 3D image processing, Image classification, Image processing algorithms and systems, 3D modeling, Biopsy, Surface plasmons

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Proceedings Article | 20 March 2015 Paper

A supervoxel-based segmentation method for prostate MR images

Zhiqiang Tian, LiZhi Liu, Baowei Fei

Proceedings Volume 9413, 941318 (2015) https://doi.org/10.1117/12.2082255

KEYWORDS: Prostate, Image segmentation, Magnetic resonance imaging, 3D image processing, Data modeling, Prostate cancer, Medical imaging, Process modeling, 3D modeling, Image processing algorithms and systems

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Proceedings Article | 20 March 2015 Paper

A fully automatic multi-atlas based segmentation method for prostate MR images

Zhiqiang Tian, LiZhi Liu, Baowei Fei

Proceedings Volume 9413, 941340 (2015) https://doi.org/10.1117/12.2082229

KEYWORDS: Prostate, Image segmentation, Magnetic resonance imaging, Image registration, Target detection, Edge detection, Detection and tracking algorithms, Databases, Magnetism, Image fusion

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Showing 5 of 14 publications

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