Yajia Gu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Sentinel Lymph Node

Magnetic Resonance

Diffusion Weighted

Top Venues

Cancer imaging : the official publication of the International Cancer Imaging Society

Journal of magnetic resonance imaging : JMRI

Journal of medical imaging (Bellingham, Wash.)

European radiology

This page only lists publications with an associated author ORCID identifier.

Publications

Jing Gong, Ting Wang, Zezhou Wang, Xiao Chu, Tingdan Hu, Menglei Li, Weijun Peng, Feng Feng, Tong Tong, Yajia Gu
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model. Cancer imaging : the official publication of the International Cancer Imaging Society 24 (1) (2024)
Jing Gong, Ting Wang, Zezhou Wang, Xiao Chu, Tingdan Hu, Menglei Li, Weijun Peng, Feng Feng, Tong Tong, Yajia Gu
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model. Cancer imaging : the official publication of the International Cancer Imaging Society 24 (1) (2024)
Jiayin Zhou, Yansong Bai, Ying Zhang, Zezhou Wang, Shiyun Sun, Luyi Lin, Yajia Gu, Chao You
A preoperative radiogenomic model based on quantitative heterogeneity for predicting outcomes in triple-negative breast cancer patients who underwent neoadjuvant chemotherapy. Cancer imaging : the official publication of the International Cancer Imaging Society 24 (1) (2024)
Jiayin Zhou, Yansong Bai, Ying Zhang, Zezhou Wang, Shiyun Sun, Luyi Lin, Yajia Gu, Chao You
A preoperative radiogenomic model based on quantitative heterogeneity for predicting outcomes in triple-negative breast cancer patients who underwent neoadjuvant chemotherapy. Cancer imaging : the official publication of the International Cancer Imaging Society 24 (1) (2024)
Jiayin Zhou, Yansong Bai, Ying Zhang, Zezhou Wang, Shiyun Sun, Luyi Lin, Yajia Gu, Chao You
A preoperative radiogenomic model based on quantitative heterogeneity for predicting outcomes in triple-negative breast cancer patients who underwent neoadjuvant chemotherapy. Cancer imaging : the official publication of the International Cancer Imaging Society 24 (1) (2024)
Jing Gong, Ting Wang, Zezhou Wang, Xiao Chu, Tingdan Hu, Menglei Li, Weijun Peng, Feng Feng, Tong Tong, Yajia Gu
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model. Cancer imaging : the official publication of the International Cancer Imaging Society 24 (1) (2024)
Luyi Lin, Haiming Li, Xin Wang, Zezhou Wang, Guanhua Su, Jiayin Zhou, Shiyun Sun, Xiaowen Ma, Yan Chen, Chao You, Yajia Gu
Components of the tumor immune microenvironment based on m-IHC correlate with prognosis and subtype of triple-negative breast cancer. Cancer medicine (2023)
Phuong Dung Yun Trieu, Qin Xiao, Yajia Gu, Sarah J Lewis, Melissa L Barron, Kriscia Tapia, Patrick C Brennan, Tong Li
Variations of image interpretations of radiologists from different populations in mammography and tomosynthesis with different levels of breast density. Journal of medical imaging (Bellingham, Wash.) 10 (2) (2023)
Phuong Dung Yun Trieu, Qin Xiao, Yajia Gu, Sarah J Lewis, Melissa L Barron, Kriscia Tapia, Patrick C Brennan, Tong Li
Variations of image interpretations of radiologists from different populations in mammography and tomosynthesis with different levels of breast density. Journal of medical imaging (Bellingham, Wash.) 10 (2) (2023)
Hai Ming Li, Jing Lu, Lin Deng, Qinhao Guo, Zijing Lin, Shuhui Zhao, Huijuan Ge, Jin-Wei Qiang, Yajia Gu, Zhenyu Liu
Diffusion-Weighted Magnetic Resonance Imaging and Morphological Characteristics Evaluation for Outcome Prediction of Primary Debulking Surgery for Advanced High-Grade Serous Ovarian Carcinoma. Journal of magnetic resonance imaging : JMRI (2022)
Yuqi Sun, Simin Wang, Ziang Liu, Chao You, Ruimin Li, Ning Mao, Shaofeng Duan, Henry S Lynn, Yajia Gu
Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images. Cancer imaging : the official publication of the International Cancer Imaging Society 22 (1) (2022)
Tianwen Xie, Tingting Jiang, Qiufeng Zhao, Caixia Fu, Marcel Dominik Nickel, Weijun Peng, Yajia Gu
Model-Free and Model-based Parameters Derived From CAIPIRINHA-Dixon-TWIST-VIBE DCE-MRI: Associations With Prognostic Factors and Molecular Subtypes of Invasive Ductal Breast Cancer. Journal of magnetic resonance imaging : JMRI (2022)
Tingting Wang, Jing Gong, Qiao Li, Caiting Chu, Wenbin Shen, Weijun Peng, Yajia Gu, Wenhua Li
A combined radiomics and clinical variables model for prediction of malignancy in T2 hyperintense uterine mesenchymal tumors on MRI. European radiology 31 (8) (2021)
Simin Wang, Yuqi Sun, Ruimin Li, Ning Mao, Qin Li, Tingting Jiang, Qianqian Chen, Shaofeng Duan, Haizhu Xie, Yajia Gu
Diagnostic performance of perilesional radiomics analysis of contrast-enhanced mammography for the differentiation of benign and malignant breast lesions. European radiology 32 (1) (2021)
Yanqiong Chen, Bin Wu, Hui Liu, Dan Wang, Yajia Gu
Feasibility study of dual parametric 2D histogram analysis of breast lesions with dynamic contrast-enhanced and diffusion-weighted MRI. Journal of translational medicine 16 (1) (2018)