Yunzhi Wang
Orcid: 0000-0003-3301-1921
According to our database1,
Yunzhi Wang
authored at least 28 papers
between 2011 and 2024.
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Bibliography
2024
Accelerated Imaging of 2-D Water-Bearing Structures in MRT Data Based on the SVD-UNet.
IEEE Trans. Geosci. Remote. Sens., 2024
Forward modeling of single-sided magnetic resonance and evaluation of T2 fitting error based on geometric analytical method.
Comput. Geosci., 2024
STAVER: a standardized benchmark dataset-based algorithm for effective variation reduction in large-scale DIA-MS data.
Briefings Bioinform., 2024
2023
TeleRobot: Design and Implementation of a Live Remote Interaction Platform for Robots<sup>*</sup>.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
IEEE Trans. Geosci. Remote. Sens., 2022
2021
Harmonic Noise-Elimination Method Based on the Synchroextracting Transform for Magnetic-Resonance Sounding Data.
IEEE Trans. Instrum. Meas., 2021
2020
Medical Image Anal., 2020
2019
Online Inf. Rev., 2019
Developing a new quantitative imaging marker to predict pathological complete response to neoadjuvant chemotherapy.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Design, fabrication and evaluation of non-imaging, label-free pre-screening tool using quantified bio-electrical tissue profile.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Association between mammogram density and background parenchymal enhancement of breast MRI.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Fully convolutional neural networks for prostate cancer detection using multi-parametric magnetic resonance images: an initial investigation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images.
Comput. Methods Programs Biomed., 2017
Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction.
Int. J. Comput. Assist. Radiol. Surg., 2017
Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Research on the Influencing Factors of User 's Online Knowledge Consumption Behavior.
Proceedings of the 5th International Conference on Information Technology and Quantitative Management, 2017
2016
Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome.
BMC Medical Imaging, 2016
Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patients.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
2015
Predicting Purchase Decisions Based on Spatio-Temporal Functional MRI Features Using Machine Learning.
IEEE Trans. Auton. Ment. Dev., 2015
2012
Int. J. Asian Bus. Inf. Manag., 2012
2011
Residential Load Pattern Analysis for Smart Grid Applications Based on Audio Feature EEUPC.
Int. J. Adv. Pervasive Ubiquitous Comput., 2011