Yunzhi Wang

发表

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

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

Developing a new quantitative imaging marker to predict pathological complete response to neoadjuvant chemotherapy

Bin Zheng, Seyedehnafiseh Mirniaharikandehei, Faranak Aghaei, 2019, Medical Imaging.

Applying a radiomics approach to predict prognosis of lung cancer patients

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

A Multi-Organ Nucleus Segmentation Challenge

Hao Chen, Minh-Triet Tran, Alison Q. O'Neil, 2020, IEEE Transactions on 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.

IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge.

Baocai Yin, Fabrice Mériaudeau, Linsheng He, 2020, Medical image analysis.

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.

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.

Improving efficacy of metastatic tumor segmentation to facilitate early prediction of ovarian cancer patients' response to chemotherapy

Bin Zheng, Gopichandh Danala, Theresa C. Thai, 2017, BiOS.

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.

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

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

Design, fabrication and evaluation of non-imaging, label-free pre-screening tool using quantified bio-electrical tissue profile

Siqi Wang, Liangzhong Xiang, Ali Zarafshani, 2019, Medical Imaging.

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

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

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.

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.

Exploring a new bilateral focal density asymmetry based image marker to predict breast cancer risk

Bin Zheng, Seyedehnafiseh Mirniaharikandehei, Yuchen Qiu, 2017, Medical Imaging.

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.

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

Rohith Reddy Gundreddy, B. Zheng, Hong Liu, 2017, Journal of X-Ray Science and Technology.

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.

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

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

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

B. Zheng, Hong Liu, K. Ding, 2016, Oncology letters.