近期论文
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著作
T. Ma, Y. Zhang, and Y.T. Zhang, “Biometrics” in Encyclopedia of Biomedical Engineering, Wiley Press, 2006
T. Ma, Y.Y. Gu, and Y.T. Zhang, “Circuit Models for Neural Information Processing” in Neural Engineering, Kluwer Academic/Plenum Publishers, 2005.
叶亮，马婷，“多模交互模式识别与应用”，哈尔滨工业大学出版社，2017.6，15.7/32.5万字 (译著)
代表期刊论文（近三年）
Jie Guo, Ting Ma*, Dongdong Weng*, Synchronous Mixed Reality (SMR): A Personalized Virtual-Real Fusion Framework with High Immersion and Effective Interaction, Journal of the Society for Information Display, In Press, Aug 2023.
Na Gao, Zhiyuan Liu, Yuesheng Deng, Hantao Chen, Chenfei Ye, Qi Yang, Ting Ma*, MR-based spatiotemporal anisptropic atrophy evaluation of hippocampus in AD progression by multiscale skeletal representation, Human Brain Mapping, In press, Aug 2023.
Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang*, Ting Ma*, CReg-KD: Model Refinement via Confidence Regularized Knowledge Distillation for Brain Imaging, Medical Image Analysis, In press, July 2023.
Yanwu Yang, Chenfei Ye, Xutao Guo, Tao Wu, Xiang Yang*, Ting Ma*, Mapping Multi-modal Brain Connectome for Brain Disorder Diagnosis via Cross-modal Mutual Learning," IEEE Trans. on Medical Imaging, 2023 Jul 13; doi: 10.1109/TMI.2023.3294967. Online ahead of print.
Li Liang, Pengzheng Zhou, Chenfei Ye, Qi Yang and Ting Ma*, “Spatial-temporal Patterns of Brain Disconnectome in Alzheimer’s Disease,” Human brain mapping, 2023 Aug 1, 44(11):4272-4286. doi: 10.1002/hbm.26344. Epub 2023 May 25.
Yanwu Yang+, Chenfei Ye+, Ting Ma*, “A deep connectome learning network using graph convolution for connectome-disease association study,” Neural Networks, 2023 Jul，164:91-104. doi: 10.1016/j.neunet.2023.04.025. Epub 2023 Apr 22
Chen Ran+, Yanwu Yang+, Chenfei Ye, Haiyan Lv, Ting Ma*, “Brain age vector: a measure of brain aging with enhanced neurodegenerative disorder specificity”, Human brain mapping, 2022 Nov; 43(16):5017-5031. doi: 10.1002/hbm.26066. Epub 2022 Sep 12.
Xutao Guo+, Chenfei Ye+, Yanwu Yang, Li Zhang, Li Liang, Shang Lu, Haiyan Lv, Chunjie Guo*, Ting Ma*. “Ensemble Learning Via Supervision Augmentation For White Matter Hyperintensity Segmentation”, Frontiers in Neuroscience, 2022 Sep 15;16:946343. doi: 10.3389/fnins.2022.946343. eCollection 2022.
Chong Wei+, Yanwu Yang+, Xutao guo, Chenfei Ye, Haiyan Lv, Yang Xiang, Ting Ma*, “MRF-Net: A Multi-branch Residual Fusion Network for Fast and Accurate Whole-Brain MRI Segmentation”, Frontiers in Neuroscience, 2022 Sep 12;16:940381. doi: 10.3389/fnins.2022.940381. eCollection 2022.
Yiwei Pan+, Shuying Liu+, Yao Zeng, Chenfei Ye, Hongwen Qiao, Tianbing Song, Haiyan Lv, Piu Chan, Jie Lu*, and Ting Ma*, A multi-atlas-based [18F]-FP-DTBZ PET image segmentation method for Parkinson’s disease quantification, Frontiers in Aging Neuroscience. 2022;14:902169. doi:10.3389/fnagi.2022.902169.
Chenfei Ye+, Jing Huang+, Li Liang, Zehong Yan, Zhigang Qi, Xiong Kang, Zheng Liu, Huiqing Dong, Haiyan Lv, Ting Ma*, Jie Lu*. Coupling of brain activity and structural network in multiple sclerosis: a graph frequency analysis study. Journal of Neuroscience Research, 2022 May;100(5):1226-1238. doi: 10.1002/jnr.25028. Epub 2022 Feb 20.
Yanwu Yang+, Chenfei Ye+, Junyan Sun, Li Liang, Haiyan Lv, Linlin Gao, Jiliang Fang, Ting Ma*, Tao Wu*, “Alteration of brain structural connectivity in progression of Parkinson's disease: a connectome-wide network analysis”, Neuroimage Clin, 31 (2021):102715, 2213-1582.
Shoulin Huang, Guoqing Cai, Tong Wang, and Ting Ma*, “Amplitude-Phase Information Measurement on Riemannian Manifold for Motor Imagery-based BCI”, IEEE Signal Processing Letters, 28 (2021): 1310-1314, 1070-9908.
Li Liang, Pengzheng Zhou, Wanxin Lu, Xutao Guo, Chenfei Ye, Haiyan Lv, Ting Ma*, "An anatomical knowledge-based mri deep learning pipeline for white matter hyperintensity quantification associated with cognitive impairment," Computerized Medical Imaging and Graphics, 89 (2021): 101873, 0895-6111.
Hongyang Zhang+, Chengcheng Hong+, Qulu Zheng+, Pengzheng Zhou, Yuliang Zhu, Zhongkai Zhang, Qifang Bi*, Ting Ma*. A multi-family cluster of COVID-19 associated with asymptomatic and pre-symptomatic transmission in Jixi City, Heilongjiang, China, Emerging microbes & infections, 2020 Dec, 9(1): 2509–2514. Doi: 10.1080/22221751.2020.1837015.
Yang Chen, Chengcheng Hong, Michael R Pinsky, Ting Ma*, Gilles Clermont*, Estimating Surgical Blood Loss Volume using Continuous Monitored Vital Signs [J]. Sensors, 2020 Nov 17, 20(22):6558. doi: 10.3390/s20226558.
Shoulin Huang, Yang Chen, Tong Wang, and Ting Ma*, Spectrum-weighted Tensor Discriminant Analysis for Motor Imagery-based BCI, IEEE Access, 2020 May 18, vol. 8: 93749-93759, DOI: 10.1109/ACCESS.2020.2995302.
Qifang Bi+, Yongsheng Wu+, Shujiang Mei+, Chenfei Ye+, Xuan Zou, Zhen Zhang, Xiaojian Liu, Lan Wei, Shaun A Truelove, Tong Zhang, Wei Gao, Cong Cheng, Xiujuan Tang, Xiaoliang Wu, Yu Wu, Binbin Sun, Suli Huang, Yu Sun, Juncen Zhang, Ting Ma*, Justin Lessler*, Tiejian Feng*, Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study, Lancet Infect Dis, 2020 Apr 27. pii: S1473-3099(20)30287-5. doi: 10.1016/S1473-3099(20)30287-5.
Junyan Sun+, Zhaoyu Lai+, Jinghong Ma, Linlin Gao, Meijie Chen, Jie Chen, Jiliang Fang, Yangyang Fan, Yan Bao, Piu Chan, Qi Yang, MD, Chenfei Ye, Tao Wu*, Ting Ma*, Quantitative Evaluation of Iron Content in Idiopathic Rapid Eye Movement Sleep Behavior Disorder, Movement Disorders, 2020 Mar, 35(3): 478-485. doi: 10.1002/mds.27929.
Chenfei Ye, Susumu Mori, Piu Chan, Ting Ma*, “Connectome-wide network analysis of white matter connectivity in Alzheimer's disease”, Neuroimage Clin. 22:101690, 2019. doi: 10.1016/j.nicl.2019.101690.
中文期刊论文
马婷，陈清财*，基于开放医疗大数据的人工智能研究，医学与哲学，Jan 2022，43(1):1-4. （封面文章，技术核心期刊）
马婷*，张海洪，医疗人工智能的“图灵测试”：路在何方，医学与哲学，2020，41（20）：8-13. （技术核心期刊）
近三年会议论文
Yanwu Yang, Hairui Chen, Zhikai Chang, Yang Xiang, Chenfei Ye*, Ting Ma*. “Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision”. Medical Imaging with Deep Learning (MIDL) 2023, Proceedings of Machine Learning Research, Nashville, America, July 2023.
Yanwu Yang, Guoqing Cai, Chenfei Ye, Yang Xiang*, Ting Ma*. “Tensor-Based Complex-Valued Graph Neural Network For Dynamic Coupling Multimodal Brain Networks” 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Rhodes Island, Greece, May 2023.
Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang*, Ting Ma*. "Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation." IEEE 18th International Symposium on Biomedical Imaging (ISBI). Cartagena de Indias, Colombia, April 2023.
Xutao Guo, Pengcheng Shi, Shang Lu, Chenfei Ye, Ting Ma*. "Joint Learning Annotator Calibration and Annotator Preference for Multiple Annotations Optic Disc and Cup Segmentation." IEEE 18th International Symposium on Biomedical Imaging (ISBI). Cartagena de Indias, Colombia, April 2023.
Jiesi Hu, Yanwu Yang, Xutao Guo, Bo Peng, Hua Huang, Ting Ma*. "DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features" IEEE 18th International Symposium on Biomedical Imaging (ISBI). Cartagena de Indias, Colombia, April 2023.
Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang*, Ting Ma*. "Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification." IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, USA, and Changsha, Hunan, China, December 2022.
Xutao Guo, Shang Lu, Yanwu Yang, Pengcheng Shi, Chenfei Ye, Yang Xiang, Ting Ma*. " Modeling Annotator Variation and Annotator Preference for Multiple Annotations Medical Image Segmentation." IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, USA, and Changsha, Hunan, China, December 2022.
Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang*, Ting Ma*. "Regularizing brain age prediction via gated knowledge distillation." Medical Imaging with Deep Learning (MIDL) 2022, Proceedings of Machine Learning Research, Zurich, Switzerland, July 2022.
Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Haiyan Lv, Ting Ma*. "Estimating Brain Age with Global and Local Dependencies." 2022 IEEE International Conference on Image Processing (ICIP). Bordeaux, France, October 2022.
Zhou PengZheng, Liang Li, guo xutao, Haiyan Lv, Tong Wang, Ting Ma*, “U-Net Combined with CRF and Anatomical Based Spatial Features to Segment White Matter Hyperintensities”, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Montréal, Canada, July 2020. (SCI-EXPANDED, EI)
Yang Chen, Shoulin Huang, Tong Wang, Ting Ma*, “Validation of Pulse Transit Time Based Blood Pressure Estimation on Atrial Fibrillation Patients”, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Montréal, Canada, July 2020. (SCI-EXPANDED, EI)
Wuchao Yan, Chenfei Ye, Tong Wang, Junyan Sun, Tao Wu, Ting Ma*, “Misfolded Protein Propagation in an Integrated Computational Model of Structural Network and LRRK2 Gene Expression ”, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Montréal , Canada, July 2020. (SCI-EXPANDED, EI)
Shoulin Huang, Junhua Zhu, Yang Chen, Tong Wang, Ting Ma*, “Analysis and Classification of Sleep Stages Based on Common Frequency Pattern from a Single-Channel EEG Signal”, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Montréal, Canada, July 2020. (SCI-EXPANDED, EI)
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