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

Process fault detection of cement calcination system based on median filtered DPCA.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Bayesian Inversion for Surface Magnetic Resonance Tomography Based on Geostatistics.
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
A Multi-Organ Nucleus Segmentation Challenge.
IEEE Trans. Medical Imaging, 2020

IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge.
Medical Image Anal., 2020

2019
Comparing digital libraries with social media from the dual route perspective.
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
Applying a CAD-generated imaging marker to assess short-term breast cancer risk.
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

Applying a radiomics approach to predict prognosis of lung cancer patients.
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
The Eco-Knowledge City Theory and its Practice in Shenzhen of China.
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


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