Y. Ji

发表

Breast cancer Ki67 expression prediction by DCE-MRI radiomics features.

Peifang Liu, W. Ma, Y. Ji, 2018, Clinical radiology.

Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution

M. Giger, Hui Li, J. Papaioannou, 2019, Cancer Imaging.

Effect of different molecular subtype reference standards in AI training: implications for DCE-MRI radiomics of breast cancers

M. Giger, Hui Li, Peifang Liu, 2022, Medical Imaging.

Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset

M. Giger, Hui Li, J. Papaioannou, 2022, Journal of medical imaging.

Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI.

M. Giger, Hui Li, Peifang Liu, 2023, Radiology.

Development and validation of a nomogram based on pretreatment dynamic contrast-enhanced MRI for the prediction of pathologic response after neoadjuvant chemotherapy for triple-negative breast cancer

Y. Ji, Yongzi Chen, R. Zhao, 2021, European Radiology.

Multi-Stage Harmonization for Robust AI across Breast MR Databases

M. Giger, Hui Li, Peifang Liu, 2021, Cancers.

Harmonization of radiomic features of breast lesions across international DCE-MRI datasets

Maryellen L. Giger, Heather M. Whitney, Peifang Liu, 2020, Journal of medical imaging.

The relationship between breast density, age, and mammographic lesion type among Chinese breast cancer patients from a large clinical dataset

Yu Ji, Boxin Li, Rui Zhao, 2021, BMC Medical Imaging.

Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method

Maryellen L. Giger, Heather M. Whitney, Peifang Liu, 2020, Proceedings of the IEEE.

Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI.

M. Giger, Hui Li, Peifang Liu, 2021, Radiology. Artificial intelligence.

The correlation between mammographic densities and molecular pathology in breast cancer.

Peifang Liu, Y. Ji, Junjun Liu, 2018, Cancer biomarkers : section A of Disease markers.

Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer

Maryellen L. Giger, Yu Ji, Peifang Liu, 2019, Medical Imaging.

Breast Cancer Molecular Subtype Prediction by Mammographic Radiomic Features.

Shandong Wu, Peifang Liu, Wenjuan Ma, 2019, Academic radiology.

Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2,397 breast lesions

Maryellen L. Giger, Heather M. Whitney, Alexandra Edwards, 2019, Medical Imaging.

Breast cancer Ki67 expression preoperative discrimination by DCE-MRI radiomics features

Peifang Liu, Yu Ji, Xinpeng Guo, 2018, BiOS.

Analysis of mammographic breast density in a group of screening chinese women and breast cancer patients.

Peifang Liu, Y. Ji, X. Hao, 2014, Asian Pacific journal of cancer prevention : APJCP.