33 citations · 36 across the 6 of their papers we have counts for
6 papers
Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge
Gongning Luo, Mingwang Xu, Hongyu Chen +34
Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of deaths. Automated 3D Breast Ultrasound (ABUS) is a ne…
Unsupervised Decomposition Networks for Bias Field Correction in MR Image
Dong Liang, Xingyu Qiu, Kuanquan Wang +3
Bias field, which is caused by imperfect MR devices or imaged objects, introduces intensity inhomogeneity into MR images and degrades the performance of MR image analysis methods.…
Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation
Dong Liang, Jun Liu, Kuanquan Wang +3
The morphological changes in knee cartilage (especially femoral and tibial cartilages) are closely related to the progression of knee osteoarthritis, which is expressed by magnetic…
ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment
Xiangyu Li, Xinjie Liang, Gongning Luo +3
Neoadjuvant therapy (NAT) for breast cancer is a common treatment option in clinical practice. Tumor cellularity (TC), which represents the percentage of invasive tumors in the tum…
Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries
Xinghua Ma, Gongning Luo, Wei Wang +1
Coronary artery disease (CAD) has posed a leading threat to the lives of cardiovascular disease patients worldwide for a long time. Therefore, automated diagnosis of CAD has indisp…
An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image
Yashu Liu, Wei Wang, Kuanquan Wang +2
LGE CMR is an efficient technology for detecting infarcted myocardium. An efficient and objective ventricle segmentation method in LGE can benefit the location of the infarcted myo…