Luan Jiang

Segmentation of whole breast and fibroglandular tissue using nnU-Net in dynamic contrast enhanced MR images.

Yajia Gu, Qin Xiao, Xiaoxin Hu, 2021, Magnetic resonance imaging.

Quantitative assessment of background parenchymal enhancement in breast magnetic resonance images predicts the risk of breast cancer

Qiang Li, Luan Jiang, Yajia Gu, 2016, Oncotarget.

Fibroglandular Tissue and Background Parenchymal Enhancement on Breast MR Imaging Correlates With Breast Cancer

Chao You, Yajia Gu, Xiaoxin Hu, 2021, Frontiers in Oncology.

Fully automated segmentation of left ventricle using dual dynamic programming in cardiac cine MR images

Qiang Li, Luan Jiang, Shan Ling, 2016, SPIE Medical Imaging.

A cascade-network framework for integrated registration of liver DCE-MR images

Jianrong Xu, Xiaohuan Cao, Guoxiang Qu, 2021, Comput. Medical Imaging Graph..

Automated Detection of Breast Mass Spiculation Levels and Evaluation of Scheme Performance 1

Xiangyang Xu, Bin Zheng, Enmin Song, 2022 .

Accurate registration of temporal CT images for pulmonary nodules detection

Qiang Li, Luan Jiang, Jichao Yan, 2017, Medical Imaging.

Automatic Segmentation of the Prostate on 3D CT Images by Using Multiple Deep Learning Networks

Luan Jiang, Jiayang Xiong, Qiang li, 2018, ICBBE '18.