Xiangyuan, Lecturer, obtained bachelor's and doctoral degrees from Sun Yat-sen University. His primary research interests include medical image analysis, computer-aided diagnosis, and machine learning. He has conducted research visits at the University of Michigan in Ann Arbor, USA, and the City University of Hong Kong. He has also led one project funded by the Guangdong Provincial Natural Science Foundation, and has published more than 20 papers.
Research Fields
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Medical image analysis, computer-aided diagnosis, machine learning.
Education
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2011.09-2015.06, Sun Yat-sen University, School of Mathematics, Information and Computational Science, BS
2015.08-2020.06, Sun Yat-sen University, School of Computer Science and Engineering, Computational Mathematics, Ph.D
2017.09-2018.08, Visiting Scholar at the University of Michigan, Ann Arbor
2019.09-2020.01, Research Assistant at the Department of Mathematics, City University of Hong Kong
Work Experience
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Since 2020.09, lecturer in the Department of Biomedical Engineering, Shantou University
Current Projects
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Guangdong Provincial Natural Science Foundation, January 1, 2023 - December 31, 2025.
Publications
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1. Xiangyuan Ma, Lubomir M. Hadjiiski*, Jun Wei, Heang-Ping Chan, Kenny H. Cha, Richard H. Cohan, Elaine M. Caoili, Ravi Samala, Chuan Zhou, Yao Lu. U-Net-based Deep-Learning Bladder Segmentation in CT Urography. Medical Physics, 46(4), 2019, 1752-1765.
2. Xiangyuan Ma, Jinlong Wang, Xinpeng Zheng, Zhuangsheng Liu*, Wansheng Long, Yaqin Zhang*, Jun Wei and Yao Lu*. Automated Fibroglandular Tissue Segmentation in Breast MRI Using Generative Adversarial Networks. Physics in Medicine & Biology, 2020, 65(10): 105006.
3. Xiangyuan Ma, Jun Wei*, Chuan Zhou, Mark A. Helvie, Heang-Ping Chan, Lubomir M. Hadjiiski, Yao Lu. Automated Pectoral Muscle Identification on MLO-view Mammograms: Comparison of Deep Neural Network to Conventional Computer Vision. Medical Physics, 2019, 46(5): 2103-2114.
4. Meiai Lin, Yixiong Zheng, Lijun Yang, Jingwen Yan, Xiangyuan Ma*, Yanchun Guo*. Unsupervised Adaptive Deep Learning Framework for Video Denoising in Light Scattering Imaging. Analytical Chemistry, 2025, 97(21): 11035-11043.
5. Kangli Dong, Wei Liang, Ting Hou, Zhijie Lu, Yixuan Hao, Chenrui Li, Yue Qiu, Nan Kong, Yan Cheng, Yaqi Wen, Wanyin Ma, Wenbin Zheng, Jitian Guan, Yan Lin, Kai Huang, Lu Zhang, Siya Chen, Xiangyuan Ma*, Renhua Wu*, Naili Wei*. Exploring the impact of APOE ɛ4 on functional connectivity in Alzheimer’s disease across cognitive impairment levels. NeuroImage, 2025, 305: 120951.
6. Si Li; Keming Chen; Xiangyuan Ma*; Zengguo Liang. “Semi-supervised low-dose SPECT restoration using sinogram inner-structure aware graph neural network.” Physics in Medicine & Biology, 2024, 69(5): 055016.
7. Wei Liang, Haixiong Wu, Hongbin Guo, Zhanyao Huang, Shibin Liang, Jinhuang Zhang, Huiling Zhang, Xiangyuan Ma* and Zibi Xu*, Pairwise hemorrhage-brain region interaction-driven hemorrhagic stroke assessment in CT. Physics in Medicine & Biology, 2024, 70(1): 015006.
8. Meiai Lin, Ting Liu, Yixiong Zheng, Xiangyuan Ma*. "Dynamic light scattering microscopy sensing mitochondria dynamics for label-free detection of triple-negative breast cancer enhanced by deep learning." Biomedical Optics Express 2023, 14(10): 5048-5059.
9. Yue Li, Zilong He, Jiawei Pan, Weixiong Zeng, Jialing Liu, Zhaodong Zeng, Weimin Xu, Zeyuan Xu, Sina Wang, Chanjuan Wen, Hui Zeng, Jiefang Wu, Xiangyuan Ma*, Weiguo Chen* and Yao Lu*. "Atypical architectural distortion detection in digital breast tomosynthesis: a computer-aided detection model with adaptive receptive field." Physics in Medicine & Biology, 2023, 68(4): 045013.
10. Yun Chen, Yao Lu, Xiangyuan Ma, Yuesheng Xu. A content-adaptive unstructured grid based regularized CT reconstruction method with a SART-type preconditioned fixed-point proximity algorithm. Inverse Problems 2022, 38(3): 035005.
11. Xiangyuan Ma, Zilong He, Yue Li, Weixiong Zeng, Jiawei Pan, Jialing Liu, Weimin Xu, Zeyuan Xu, Sina Wang, Chanjuan Wen, Hui Zeng, Jiefeng Wu, Zhaodong Zeng, Weiguo Chen, Yao Lu. Multi-view based computer-aided model with anatomical position prior for architectural distortion detection in digital breast tomosynthesis. Vol. 12465. SPIE, 2023.
Teaching
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[BME1101A] Biomedical Engineering
[BME3204A] Medical Imaging Physics
[BME4405B] Biomedical Engineering Senior Design
Positions in academic institutions or Professional
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Member of the Artificial Intelligence Clinical Application Committee of Guangdong Medical Doctor Association
