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publications
Connectome-wide network analysis of white matter connectivity in Alzheimer’s disease
Published in NeuroImage: Clinical, 2019
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. (SCI, IF2021=4.891, Q2)
Quantitative evaluation of iron content in idiopathic rapid eye movement sleep behavior disorder
Published in Movement Disorders, 2020
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. (SCI, IF2021=9.698, Q1)
Spectrum-weighted tensor discriminant analysis for motor imagery-based BCI
Published in IEEE Access, 2020
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. (SCI, IF2021=3.476, Q1).
U-net combined with CRF and anatomical based spatial features to segment white matter hyperintensities
Published in EMBC, 2020
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)
Validation of Pulse Transit Time Based Blood Pressure Estimation on Atrial Fibrillation Patients
Published in EMBC, 2020
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)
Misfolded protein propagation in an integrated computational model of structural network and LRRK2 gene expression
Published in EMBC, 2020
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)
Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study
Published in The Lancet infectious diseases, 2020
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. (SCI, IF2021=71.421 Q1)
Alteration of brain structural connectivity in progression of Parkinson’s disease: A connectome-wide network analysis
Published in NeuroImage: Clinical, 2021
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. (SCI, IF2021=4.891, Q2)
An anatomical knowledge-based MRI deep learning pipeline for white matter hyperintensity quantification associated with cognitive impairment
Published in Frontiers in Neuroscience, 2021
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. (SCI, IF2021=7.422, Q1)
Amplitude-phase information measurement on riemannian manifold for motor imagery-based bci
Published in IEEE Signal Processing Letters, 2021
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. (SCI, IF2021=3.201, Q1)
Coupling of brain activity and structural network in multiple sclerosis: A graph frequency analysis study
Published in Journal of Neuroscience Research, 2022
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. (SCI，IF2021=4.433, Q2)
MRF-Net: A multi-branch residual fusion network for fast and accurate whole-brain MRI segmentation
Published in Frontiers in Neuroscience, 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. (SCI, IF2021=5.152, Q2)
Ensemble learning via supervision augmentation for white matter hyperintensity segmentation
Published in Frontiers in Neuroscience, 2022
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. (SCI, IF2021=5.152, Q2)
Estimating Brain Age with Global and Local Dependencies
Published in IEEE International Conference on Image Processing (ICIP), 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
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation
Published in arXiv preprint, 2022
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.
Brain age vector: A measure of brain aging with enhanced neurodegenerative disorder specificity
Published in Human brain mapping, 2022
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. (SCI, IF2021=5.399, Q1)
Modeling Annotator Variation and Annotator Preference for Multiple Annotations Medical Image Segmentation
Published in BIBM, 2022
X. Guo et al., “Modeling Annotator Variation and Annotator Preference for Multiple Annotations Medical Image Segmentation,” 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, 2022, pp. 977-984, doi: 10.1109/BIBM55620.2022.9995619.
Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification
Published in BIBM, 2022
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.
Regularizing brain age prediction via gated knowledge distillation
Published in MIDL, 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.
DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features
Published in ISBI, 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.
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation
Published in ISBI, 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.
Tensor-Based Complex-Valued Graph Neural Network For Dynamic Coupling Multimodal Brain Networks
Published in ICASSP, 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.
Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision
Published in MIDL, 2023
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.
A deep connectome learning network using graph convolution for connectome-disease association study
Published in Neural Networks, 2023
Yanwu Yang+, Chenfei Ye+, Ting Ma*, “A deep connectome learning network using graph convolution for connectome-disease association study,” Neural Networks, in press, (SCI, IF2021=9.657, Q1)
Spatial-temporal Patterns of Brain Disconnectome in Alzheimer’s Disease
Published in Human brain mapping, 2023
Li Liang, Pengzheng Zhou, Chenfei Ye, Qi Yang and Ting Ma*, “Spatial-temporal Patterns of Brain Disconnectome in Alzheimer’s Disease,” Human brain mapping, in press. (SCI, IF2021=5.399, Q1)
Mapping Multi-modal Brain Connectome for Brain Disorder Diagnosis via Cross-modal Mutual Learning
Published in IEEE Trans. on Medical Imaging, 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, In press. (SCI, IF2022=10.037, Q1)