329 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National University of SingaporeSG5 papers
- National University HospitalSG2 papers
- Adobe Systems (United States)US1 paper
- A*STAR-NUS Clinical Imaging Research CentreSG1 paper
- CAS Key Laboratory of Quantum Information, USTCCN1 paper
- Center for High Pressure Science and Technology Advanced ResearchCN1 paper
- Center for High Pressure Science & Technology Advanced ResearchCN1 paper
- Hefei University of TechnologyCN1 paper
- Huazhong University of Science and TechnologyCN1 paper
- National Heart Centre SingaporeSG1 paper
- Peking UniversityCN1 paper
- Princeton UniversityUS1 paper
6 papers
Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images
Dong Wei, Ying Sun, Ping Chai +2
Automatic segmentation of myocardium in Late Gadolinium Enhanced (LGE) Cardiac MR (CMR) images is often difficult due to the intensity heterogeneity resulting from accumulation of…
A Comprehensive 3-D Framework for Automatic Quantification of Late Gadolinium Enhanced Cardiac Magnetic Resonance Images
Dong Wei, Ying Sun, Sim-Heng Ong +3
Late gadolinium enhanced (LGE) cardiac magnetic resonance (CMR) can directly visualize nonviable myocardium with hyperenhanced intensities with respect to normal myocardium. For he…
Three-Dimensional Segmentation of the Left Ventricle in Late Gadolinium Enhanced MR Images of Chronic Infarction Combining Long- and Short-Axis Information
Dong Wei, Ying Sun, Sim-Heng Ong +3
Automatic segmentation of the left ventricle (LV) in late gadolinium enhanced (LGE) cardiac MR (CMR) images is difficult due to the intensity heterogeneity arising from accumulatio…
Ultrathin quantum light source enabled by a nonlinear van der Waals crystal with vanishing interlayer-electronic-coupling
Qiangbing Guo, Xiao-Zhuo Qi, Meng Gao +19
Interlayer electronic coupling in two-dimensional (2D) materials enables tunable and emergent properties by stacking engineering. However, it also brings significant evolution of e…
Modality Bank: Learn multi-modality images across data centers without sharing medical data
Qi Chang, Hui Qu, Zhennan Yan +3
Multi-modality images have been widely used and provide comprehensive information for medical image analysis. However, acquiring all modalities among all institutes is costly and o…
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images
Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos +1
In this paper we address the memory demands that come with the processing of 3-dimensional, high-resolution, multi-channeled medical images in deep learning. We exploit memory-effi…