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Peifang Liu
Publication Activity (10 Years)
Years Active: 2015-2020
Publications (10 Years): 6
Top Topics
Empirical Mode Decomposition
Computer Aided
Deep Learning
Breast Cancer
Top Venues
Medical Imaging: Computer-Aided Diagnosis
CoRR
IEEE Trans. Biomed. Circuits Syst.
Proc. IEEE
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Publications
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Heather M. Whitney
,
Hui Li
,
Yu Ji
,
Peifang Liu
,
Maryellen L. Giger
Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method.
Proc. IEEE
108 (1) (2020)
Li Xiao
,
Cheng Zhu
,
Junjun Liu
,
Chunlong Luo
,
Peifang Liu
,
Yi Zhao
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography.
CoRR
(2020)
Rachel Anderson
,
Hui Li
,
Yu Ji
,
Peifang Liu
,
Maryellen L. Giger
Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer.
Medical Imaging: Computer-Aided Diagnosis
(2019)
Li Xiao
,
Cheng Zhu
,
Junjun Liu
,
Chunlong Luo
,
Peifang Liu
,
Yi Zhao
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography.
MICCAI (6)
(2019)
Heather M. Whitney
,
Yu Ji
,
Hui Li
,
Alexandra Edwards
,
John Papaioannou
,
Peifang Liu
,
Maryellen L. Giger
Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions.
Medical Imaging: Computer-Aided Diagnosis
(2019)
Qinwei Li
,
Xia Xiao
,
Liang Wang
,
Hang Song
,
Hayato Kono
,
Peifang Liu
,
Hong Lu
,
Takamaro Kikkawa
Direct Extraction of Tumor Response Based on Ensemble Empirical Mode Decomposition for Image Reconstruction of Early Breast Cancer Detection by UWB.
IEEE Trans. Biomed. Circuits Syst.
9 (5) (2015)