Yunzhi Wang

13 papers Journal 3Unranked 10
YearRankTypeTitle / Venue / Authors
2019 — conf
Design, fabrication and evaluation of non-imaging, label-free pre-screening tool using quantified bio-electrical tissue profile.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Ali Zarafshani, Yunzhi Wang, Seyedeh-Nafiseh Mirniaharikandehei, Morteza Heidari, Faranak Aghaei, Siqi Wang, Liangzhong Xiang, Bin Zheng
2019 — conf
Developing a new quantitative imaging marker to predict pathological complete response to neoadjuvant chemotherapy.
Computer-Aided Diagnosis
Faranak Aghaei, Alan B. Hollingsworth, Seyedehnafiseh Mirniaharikandehei, Yunzhi Wang, Hong Liu, Bin Zheng
2018 — conf
Applying a CAD-generated imaging marker to assess short-term breast cancer risk.
Computer-Aided Diagnosis
Seyedehnafiseh Mirniaharikandehei, Ali Zarafshani, Morteza Heidari, Yunzhi Wang, Faranak Aghaei, Bin Zheng
2018 — conf
Association between mammogram density and background parenchymal enhancement of breast MRI.
Computer-Aided Diagnosis
Faranak Aghaei, Gopichandh Danala, Yunzhi Wang, Ali Zarafshani, Wei Qian, Hong Liu, Bin Zheng
2017 J jnl
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.
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
2017 — conf
Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study.
Computer-Aided Diagnosis
Gopichandh Danala, Yunzhi Wang, Theresa C. Thai, Camille Gunderson, Katherine Moxley, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
2017 — conf
Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images.
Computer-Aided Diagnosis
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
2017 J jnl
Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction.
Int. J. Comput. Assist. Radiol. Surg.
Shiju Yan, Yunzhi Wang, Faranak Aghaei, Yuchen Qiu, Bin Zheng
2016 — conf
An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology.
Computer-Aided Diagnosis
Yuchen Qiu, Yunzhi Wang, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng
2016 J jnl
Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome.
BMC Medical Imaging
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
2016 — conf
Applying a radiomics approach to predict prognosis of lung cancer patients.
Computer-Aided Diagnosis
Nastaran Emaminejad, Shiju Yan, Yunzhi Wang, Wei Qian, Yubao Guan, Bin Zheng
2016 — conf
Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patients.
Computer-Aided Diagnosis
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Kai Ding, Hong Liu, Bin Zheng
2016 — conf
Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method.
Computer-Aided Diagnosis
Maxine Tan, Faranak Aghaei, Yunzhi Wang, Wei Qian, Bin Zheng