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Yongjin Zhou 0002
Person information
- affiliation: Shenzhen University, School of Biomedical Engineering, Health Science Center, China
- affiliation: Marshall Laboratory of Biomedical Engineering, Shenzhen University, China
Other persons with the same name
- Yongjin Zhou — disambiguation page
- Yongjin Zhou 0001 (aka: YongJin Zhou 0001, Yong Jin Zhou 0001) — Air Force Engineering University, Shaanxi Key Laboratory of Artificially-Structured Functional Materials and Devices, Xi'an, China (and 3 more)
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Journal Articles
- 2024
- [j20]Shangyu Cai, Yongsheng Lin, Haoxin Chen, Zihao Huang, Yongjin Zhou, Yongping Zheng:
Automated analysis of pectoralis major thickness in pec-fly exercises: evolving from manual measurement to deep learning techniques. Vis. Comput. Ind. Biomed. Art 7(1): 8 (2024) - [j19]Xiaochen Gu, Ping Huang, Xiaohua Xu, Zhicheng Zheng, Kaiju Luo, Yujie Xu, Yizhen Jia, Yongjin Zhou:
Machine learning approach for the prediction of macrosomia. Vis. Comput. Ind. Biomed. Art 7(1): 22 (2024) - 2023
- [j18]Hongrong Wei, Junqiang Ma, Yongjin Zhou, Wufeng Xue, Dong Ni:
Co-learning of appearance and shape for precise ejection fraction estimation from echocardiographic sequences. Medical Image Anal. 84: 102686 (2023) - 2022
- [j17]Zhongjun Lin, Yinghua Liu, Hui Wang, Zhengji Liu, Sijin Cai, Zhicheng Zheng, Yongjin Zhou, Xinyu Zhang:
An eye tracker based on webcam and its preliminary application evaluation in Chinese reading tests. Biomed. Signal Process. Control. 74: 103521 (2022) - [j16]Zhongjun Lin, Yinghua Liu, Hui Wang, Zhengji Liu, Sijin Cai, Zhicheng Zheng, Yongjin Zhou, Xinyu Zhang:
Corrigendum to "An eye tracker based on webcam and its preliminary application evaluation in Chinese reading tests" [Biomed. Signal Process. Control 74 (2022) 103521]. Biomed. Signal Process. Control. 77: 103732 (2022) - 2021
- [j15]Yongjin Zhou, Zhengji Liu, Lei Tian, Menglin Guo, Jizhou Li:
Finer cornea characterization with improved spatial resolution in Corvis ST. Biomed. Signal Process. Control. 65: 102297 (2021) - [j14]Yongjin Zhou, Chuang Lin, Xinjun Sheng:
Editorial for the VSI: Control of prostheses. Biomed. Signal Process. Control. 66: 102411 (2021) - [j13]Menglin Guo, Mei Zhao, Allen M. Y. Cheong, Federico Corvi, Xin Chen, Siping Chen, Yongjin Zhou, Andrew K. C. Lam:
Can deep learning improve the automatic segmentation of deep foveal avascular zone in optical coherence tomography angiography? Biomed. Signal Process. Control. 66: 102456 (2021) - [j12]Xianyu Deng, Lei Tian, Ziyu Liu, Yongjin Zhou, Ying Jie:
A deep learning approach for the quantification of lower tear meniscus height. Biomed. Signal Process. Control. 68: 102655 (2021) - [j11]Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang:
D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 940-950 (2021) - [j10]Cheng Li, Jingxu Xu, Qiegen Liu, Yongjin Zhou, Lisha Mou, Zuhui Pu, Yong Xia, Hairong Zheng, Shanshan Wang:
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1003-1013 (2021) - [j9]Bingsheng Huang, Junru Tian, Hongyuan Zhang, Zixin Luo, Jing Qin, Chen Huang, Xueping He, Yanji Luo, Yongjin Zhou, Guo Dan, Hanwei Chen, Shi-Ting Feng, Chenglang Yuan:
Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis. IEEE J. Biomed. Health Informatics 25(7): 2655-2664 (2021) - 2020
- [j8]Chenglang Yuan, Zengtong Chen, Mingyu Wang, Jianing Zhang, Kun Sun, Yongjin Zhou:
Dynamic measurement of pennation angle of gastrocnemius muscles obtained from ultrasound images based on gradient Radon transform. Biomed. Signal Process. Control. 55 (2020) - [j7]Jingxu Xu, Depeng Xu, Qianyue Wei, Yongjin Zhou:
Automatic classification of male and female skeletal muscles using ultrasound imaging. Biomed. Signal Process. Control. 57 (2020) - [j6]Shiyu Sun, Wufeng Xue, Yongjin Zhou:
Classification of young healthy individuals with different exercise levels based on multiple musculoskeletal ultrasound images. Biomed. Signal Process. Control. 62: 102093 (2020) - 2019
- [j5]Menglin Guo, Mei Zhao, Allen M. Y. Cheong, Houjiao Dai, Andrew K. C. Lam, Yongjin Zhou:
Automatic quantification of superficial foveal avascular zone in optical coherence tomography angiography implemented with deep learning. Vis. Comput. Ind. Biomed. Art 2: 1-9 (2019) - 2018
- [j4]Yongjin Zhou, Jingxu Xu, Qiegen Liu, Cheng Li, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification. IEEE Trans. Biomed. Eng. 65(9): 1935-1942 (2018) - [j3]Zhexiao Guo, Guo Dan, Jianghuai Xiang, Jun Wang, Wanzhang Yang, Huijun Ding, Oliver Deussen, Yongjin Zhou:
An Unobtrusive Computerized Assessment Framework for Unilateral Peripheral Facial Paralysis. IEEE J. Biomed. Health Informatics 22(3): 835-841 (2018) - 2017
- [j2]Huijun Ding, Qing He, Lei Zeng, Yongjin Zhou, Minmin Shen, Guo Dan:
Motion intent recognition of individual fingers based on mechanomyogram. Pattern Recognit. Lett. 88: 41-48 (2017) - [j1]Xiguang Wei, Jinyong Zhang, Shing-Chow Chan, Ho-Chun Wu, Yongjin Zhou, Yong-Ping Zheng:
Automatic Extraction of Central Tendon of Rectus Femoris (CT-RF) in Ultrasound Images Using a New Intensity-Compensated Free-Form Deformation-Based Tracking Algorithm With Local Shape Refinement. IEEE J. Biomed. Health Informatics 21(4): 1058-1068 (2017)
Conference and Workshop Papers
- 2022
- [c10]Weijian Huang, Cheng Li, Wenxin Fan, Ziyao Zhang, Tong Zhang, Yongjin Zhou, Qiegen Liu, Shanshan Wang:
Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction. MLMIR@MICCAI 2022: 3-13 - 2020
- [c9]Hongrong Wei, Heng Cao, Yiqin Cao, Yongjin Zhou, Wufeng Xue, Dong Ni, Shuo Li:
Temporal-Consistent Segmentation of Echocardiography with Co-learning from Appearance and Shape. MICCAI (2) 2020: 623-632 - 2017
- [c8]Zhexiao Guo, Minmin Shen, Le Duan, Yongjin Zhou, Jianghuai Xiang, Huijun Ding, Shifeng Chen, Oliver Deussen, Guo Dan:
Deep assessment process: Objective assessment process for unilateral peripheral facial paralysis via deep convolutional neural network. ISBI 2017: 135-138 - 2016
- [c7]Yongjin Zhou, Qianyue Wei, Xiaojuan Yang, Jianghuai Xiang, Zhi-En Xian, Yue Li, Wanzhang Yang, Guo Dan, Yun Xiang:
Quantitative comparison of muscle thickness between young male and female subjects using ultrasonography. BHI 2016: 284-287 - [c6]Yongjin Zhou, Xiaojuan Yang, Jianghuai Xiang, Wenxiu Shi, Xudong Zhang, Qing He, Guo Dan, Xin Chen, Qiao Wang, Wanzhang Yang, Jinyong Zhang:
Monitoring tibialis anterior responses of post-stroke patients under electroacupuncture therapy with inertial sensors. DSP 2016: 327-330 - 2014
- [c5]Sheng Han, Xin Chen, Sheng Zhong, Yongjin Zhou, Zhiguo Zhang:
A novel outlier detection method for identifying torque-related transient patterns of in vivo muscle behavior. EMBC 2014: 4216-4219 - [c4]Baiying Lei, Xinyao Li, Yuan Yao, Shengli Li, Siping Chen, Yongjin Zhou, Dong Ni, Tianfu Wang:
Automatic grading of placental maturity based on LIOP and fisher vector. EMBC 2014: 4671-4674 - [c3]Xing Chen, Xin Chen, Jizhou Li, Yongjin Zhou:
A Study on the Nonlinearity Relationship between Quadriceps Thickness and Torque Output during Isometric Knee Extension. HIS 2014: 47-54 - [c2]Jizhou Li, Yongjin Zhou, Xin Chen, Guo Dan, Yong-Ping Zheng:
Characterization of individual muscle activities during isometric contraction using ultrasound imaging. DSP 2014: 162-166 - [c1]Sheng Zhong, Yongjin Zhou, Kai Zhan, Huiying Wen, Xin Chen, Wanzhang Yang, Yun Xiang:
A preliminary study of in vivo muscle behavior during walking among hemiplegia patients. DSP 2014: 739-741
Informal and Other Publications
- 2023
- [i4]Sijin Cai, Nanfeng Zhang, Jiaying Zhu, Yanjie Liu, Yongjin Zhou:
A Study on the Performance of Generative Pre-trained Transformer (GPT) in Simulating Depressed Individuals on the Standardized Depressive Symptom Scale. CoRR abs/2307.08576 (2023) - 2022
- [i3]Weijian Huang, Cheng Li, Wenxin Fan, Yongjin Zhou, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Rethinking the optimization process for self-supervised model-driven MRI reconstruction. CoRR abs/2203.09724 (2022) - 2019
- [i2]Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang:
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation. CoRR abs/1908.05104 (2019) - 2018
- [i1]Jingxu Xu, Cheng Li, Yongjin Zhou, Lisha Mou, Hairong Zheng, Shanshan Wang:
Classifying Mammographic Breast Density by Residual Learning. CoRR abs/1809.10241 (2018)
Coauthor Index
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last updated on 2024-10-15 20:45 CEST by the dblp team
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