Yongjin Zhou

Orcid: 0000-0002-0067-8466

Affiliations:
  • Shenzhen University, School of Biomedical Engineering, Health Science Center, China
  • Marshall Laboratory of Biomedical Engineering, Shenzhen University, China


According to our database1, Yongjin Zhou authored at least 23 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Co-learning of appearance and shape for precise ejection fraction estimation from echocardiographic sequences.
Medical Image Anal., 2023

A Study on the Performance of Generative Pre-trained Transformer (GPT) in Simulating Depressed Individuals on the Standardized Depressive Symptom Scale.
CoRR, 2023

2022
Rethinking the optimization process for self-supervised model-driven MRI reconstruction.
CoRR, 2022

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., 2022

An eye tracker based on webcam and its preliminary application evaluation in Chinese reading tests.
Biomed. Signal Process. Control., 2022

Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

2021
Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis.
IEEE J. Biomed. Health Informatics, 2021

D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Finer cornea characterization with improved spatial resolution in Corvis ST.
Biomed. Signal Process. Control., 2021

Editorial for the VSI: Control of prostheses.
Biomed. Signal Process. Control., 2021

Can deep learning improve the automatic segmentation of deep foveal avascular zone in optical coherence tomography angiography?
Biomed. Signal Process. Control., 2021

A deep learning approach for the quantification of lower tear meniscus height.
Biomed. Signal Process. Control., 2021

2020
Dynamic measurement of pennation angle of gastrocnemius muscles obtained from ultrasound images based on gradient Radon transform.
Biomed. Signal Process. Control., 2020

Automatic classification of male and female skeletal muscles using ultrasound imaging.
Biomed. Signal Process. Control., 2020

2019
Automatic quantification of superficial foveal avascular zone in optical coherence tomography angiography implemented with deep learning.
Vis. Comput. Ind. Biomed. Art, 2019

2018
An Unobtrusive Computerized Assessment Framework for Unilateral Peripheral Facial Paralysis.
IEEE J. Biomed. Health Informatics, 2018

A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification.
IEEE Trans. Biomed. Eng., 2018

Classifying Mammographic Breast Density by Residual Learning.
CoRR, 2018

2017
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, 2017

Deep assessment process: Objective assessment process for unilateral peripheral facial paralysis via deep convolutional neural network.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Monitoring tibialis anterior responses of post-stroke patients under electroacupuncture therapy with inertial sensors.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

2014
Automatic grading of placental maturity based on LIOP and fisher vector.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014


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