Direct Extraction of Tumor Response Based on Ensemble Empirical Mode Decomposition for Image Reconstruction of Early Breast Cancer Detection by UWB. - Qinwei Li; Xia Xiao; Liang Wang; Hang Song 001; Hayato Kono; Peifang Liu; Hong Lu; Takamaro Kikkawa (IEEE Trans. Biomed. Circuits Syst., 2015)

Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer. - Rachel Anderson; Hui Li 024; Yu Ji; Peifang Liu; Maryellen L. Giger (Computer-Aided Diagnosis, 2019)

Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions. - Heather M. Whitney; Yu Ji; Hui Li 024; Alexandra Edwards; John Papaioannou; Peifang Liu; Maryellen L. Giger (Computer-Aided Diagnosis, 2019)

Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography. - Li Xiao 005; Cheng Zhu; Junjun Liu; Chunlong Luo; Peifang Liu; Yi Zhao 013 (MICCAI (6), 2019)

Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method. - Heather M. Whitney; Hui Li 024; Yu Ji; Peifang Liu; Maryellen L. Giger (Proc. IEEE, 2020)

Effect of different molecular subtype reference standards in AI training: implications for DCE-MRI radiomics of breast cancers. - Heather M. Whitney; Yu Ji; Hui Li 024; Peifang Liu; Maryellen L. Giger (Computer-Aided Diagnosis, 2022)

Multi-objective optimization of power networks integrating electric vehicles and wind energy. - Peifang Liu; Jiang Guo; Fangqing Zhang; Ye Zou; Junjie Tang (Intell. Syst. Appl., 2024)

Complementary expert balanced learning for long-tail cross-modal retrieval. - Peifang Liu; Xueliang Liu (Multim. Syst., 2024)