Yunzhi Wang

发表

Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study

Hong Liu, Bin Zheng, Gopichandh Danala, 2017, Medical Imaging.

A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images

Hong Liu, Bin Zheng, Yunzhi Wang, 2017, Comput. Methods Programs Biomed..

Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images

Hong Liu, Bin Zheng, Yunzhi Wang, 2017, Medical Imaging.

A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology.

Shiju Yan, Hong Liu, Bin Zheng, 2017, Journal of X-ray science and technology.

Can Patel's τ accurately estimate directionality of connections in brain networks from fMRI?

Olivier David, Xiaoping Hu, Yunzhi Wang, 2017, Magnetic resonance in medicine.

Computer-aided classification of mammographic masses using visually sensitive image features.

Bin Zheng, Yunzhi Wang, Yuchen Qiu, 2017, Journal of X-ray science and technology.

Digital hologram’s image-forming system

Xiaojing Hu, Yunzhi Wang, Heling Zhang, 2005, SPIE/COS Photonics Asia.

Association between mammogram density and background parenchymal enhancement of breast MRI

Wei Qian, Ali Zarafshani, Hong Liu, 2018, Medical Imaging.

Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome

Hong Liu, Bin Zheng, Yunzhi Wang, 2016, BMC Medical Imaging.

Applying a radiomics approach to predict prognosis of lung cancer patients

Wei Qian, Shiju Yan, Bin Zheng, 2016, SPIE Medical Imaging.

Fully convolutional neural networks for prostate cancer detection using multi-parametric magnetic resonance images: an initial investigation

Bin Zheng, Yunzhi Wang, Dashan Gao, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Improving Performance of Breast Cancer Risk Prediction by Incorporating Optical Density Image Feature Analysis: An Assessment.

Shiju Yan, Bin Zheng, Yunzhi Wang, 2017, Academic radiology.

Supervised Learning Models of fMRI Data for Inferring Brain Function and Predicting Behavior

Yunzhi Wang, Yunzhi Wang, 2014 .

Residential Load Pattern Analysis for Smart Grid Applications Based on Audio Feature EEUPC

Haiyong Luo, Yuhang Yang, Xiangdong Wang, 2011, Int. J. Adv. Pervasive Ubiquitous Comput..

Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions

Bin Zheng, Yunzhi Wang, Maxine Tan, 2017, Physics in medicine and biology.

An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology

Samuel Cheng, Shiju Yan, Hong Liu, 2016, SPIE Medical Imaging.

Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patients

Hong Liu, Bin Zheng, Yunzhi Wang, 2016, SPIE Medical Imaging.

Implementation of a computer-aided detection tool for quantification of intracranial radiologic markers on brain CT images

Bin Zheng, Yunzhi Wang, Faranak Aghaei, 2017, Medical Imaging.

A hybrid deep learning approach to predict malignancy of breast lesions using mammograms

Wei Qian, Jing Gong, Morteza Heidari, 2018, Medical Imaging.

Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction

Shiju Yan, Bin Zheng, Yunzhi Wang, 2017, International Journal of Computer Assisted Radiology and Surgery.

Developing a visual sensitive image features based CAD scheme to assist classification of mammographic masses

Hong Liu, Bin Zheng, Yunzhi Wang, 2017, Medical Imaging.

Applying a CAD-generated imaging marker to assess short-term breast cancer risk

Ali Zarafshani, Morteza Heidari, Bin Zheng, 2018, Medical Imaging.

Research on the Influencing Factors of User 's Online Knowledge Consumption Behavior

Jing Li, Shuai Zhang, Wentao Wang, 2017, ITQM.

Accelerated Metals Development by Computation

Somnath Ghosh, Yunzhi Wang, James C. Williams, 2008 .

Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method

Wei Qian, Bin Zheng, Yunzhi Wang, 2016, SPIE Medical Imaging.

Predicting Purchase Decisions Based on Spatio-Temporal Functional MRI Features Using Machine Learning

Yunzhi Wang, Veena Chattaraman, Gopikrishna Deshpande, 2015, IEEE Transactions on Autonomous Mental Development.

DEVELOPING MEDICAL IMAGE SEGMENTATION AND COMPUTER-AIDED DIAGNOSIS SYSTEMS USING DEEP NEURAL NETWORKS

Yunzhi Wang, 2018 .

Feasibility test of quantitative assessment of breast density based on dielectric impedance spectroscopy

Liangzhong Xiang, Ali Zarafshani, Yunzhi Wang, 2017 .

Quantitative measurement of adiposity using CT images to predict the benefit of bevacizumab-based chemotherapy in epithelial ovarian cancer patients.

Bin Zheng, Yunzhi Wang, Hong Liu, 2016, Oncology letters.