4 citations · 8 across the 5 of their papers we have counts for
5 papers
Multi-View Imputation and Cross-Attention Network Based on Incomplete Longitudinal and Multimodal Data for Conversion Prediction of Mild Cognitive Impairment
Tao Wang, Xiumei Chen, Xiaoling Zhang +3
Predicting whether subjects with mild cognitive impairment (MCI) will convert to Alzheimer's disease is a significant clinical challenge. Longitudinal variations and complementary…
Semi-Supervised Hybrid Spine Network for Segmentation of Spine MR Images
Meiyan Huang, Shuoling Zhou, Xiumei Chen +2
Automatic segmentation of vertebral bodies (VBs) and intervertebral discs (IVDs) in 3D magnetic resonance (MR) images is vital in diagnosing and treating spinal diseases. However,…
Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation
Yujia Zhou, Shumao Pang, Jun Cheng +7
Deformation field estimation is an important and challenging issue in many medical image registration applications. In recent years, deep learning technique has become a promising…
Cross-lingual Data Transformation and Combination for Text Classification
Jun Jiang, Shumao Pang, Xia Zhao +4
Text classification is a fundamental task for text data mining. In order to train a generalizable model, a large volume of text must be collected. To address data insufficiency, cr…
Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network
Shumao Pang, Stephanie Leung, Ilanit Ben Nachum +2
Automated quantitative measurement of the spine (i.e., multiple indices estimation of heights, widths, areas, and so on for the vertebral body and disc) is of the utmost importance…