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Sensors (Basel, Switzerland)|September 27, 2025
Multi-Signal Acquisition System for Continuous Blood Pressure MonitoringNaiwen Zhang, Yu Zhang, Jintao Chen, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|October 6, 2025
Post-Stroke Fine Hand Motion Intention Recognition Based on sEMG Decomposition and Residual Spiking Neural NetworksJinting Ma, Lifen Wang, Yiyun Tan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 25, 2025
Assessment of Neuro-Musculo-Vascular Activity in Hemiplegic Shoulder Pain: A Multimodal Study with HD-sEMG, Ultrasonography, and Laser Speckle ImagingJianwei Xia, Xinling Wei, Guangfa Xiang, et al.
BMC Cancer|April 16, 2020
Feasibility of multi-parametric magnetic resonance imaging combined with machine learning in the assessment of necrosis of osteosarcoma after neoadjuvant chemotherapy: a preliminary studyBingsheng Huang, Jifei Wang, Meili Sun, et al.
Journal of Neuroengineering and Rehabilitation|May 9, 2025
A multi-label deep residual shrinkage network for high-density surface electromyography decomposition in real-timeJinting Ma, Lifen Wang, Renxiang Wu, et al.
Brain Imaging and Behavior|October 4, 2021
To explore the mechanism of tobacco addiction using structural and functional MRI: a preliminary study of the role of the cerebellum-striatum circuitZongyou Cai, Panying Wang, Bihua Liu, et al.
Virchows Archiv : an International Journal of Pathology|February 8, 2024
Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimensXinning Liu, Fei Li, Jie Xu, et al.
Frontiers in Psychiatry|February 22, 2021
Characterizing the Structural Pattern of Heavy Smokers Using Multivoxel Pattern AnalysisYufeng Ye, Jian Zhang, Bingsheng Huang, et al.
Human Brain Mapping|December 16, 2021
Deep transfer learning of structural magnetic resonance imaging fused with blood parameters improves brain age predictionBingyu Ren, Yingtong Wu, Liumei Huang, et al.
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