247 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harbin Institute of TechnologyCN5 papers
- Fourth Affiliated Hospital of Harbin Medical UniversityCN4 papers
- First Affiliated Hospital of Harbin Medical UniversityCN3 papers
- King Abdullah University of Science and TechnologySA2 papers
- Shanghai Jiao Tong UniversityCN2 papers
- University of ManchesterGB2 papers
- Arizona State UniversityUS1 paper
- Beijing Children’s HospitalCN1 paper
- Capital Medical UniversityCN1 paper
- Carnegie Mellon UniversityUS1 paper
- Centre de Recherche en Acquisition et Traitement de l'Image pour la SantéFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
12 papers
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
Yinghao Zhang, Haiyan Gui, Ningdi Yang +1
Joint low-rank and sparse unrolling networks have shown superior performance in dynamic MRI reconstruction. However, existing works mainly utilized matrix low-rank priors, neglecti…
EVOKE: Elevating Chest X-ray Report Generation via Multi-View Contrastive Learning and Patient-Specific Knowledge
Qiguang Miao, Kang Liu, Zhuoqi Ma +6
Radiology reports are crucial for planning treatment strategies and facilitating effective doctor-patient communication. However, the manual creation of these reports places a sign…
Development and validation of a short form of the medication literacy scale for Chinese College Students
Chen Zhenzhen, Ren Jiabao, Duan Tingyu +7
Medication literacy is integral to health literacy, pivotal for medication safety and adherence. It denotes an individual's capacity to discern, comprehend, and convey medication-r…
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences
Yuetan Chu, Gongning Luo, Longxi Zhou +13
Pulmonary artery-vein segmentation is crucial for disease diagnosis and surgical planning and is traditionally achieved by Computed Tomography Pulmonary Angiography (CTPA). However…
Automated interpretation of congenital heart disease from multi-view echocardiograms
Jing Wang, Xiaofeng Liu, Fangyun Wang +6
Congenital heart disease (CHD) is the most common birth defect and the leading cause of neonate death in China. Clinical diagnosis can be based on the selected 2D key-frames from f…
Progressive Dual Priori Network for Generalized Breast Tumor Segmentation
Li Wang, Lihui Wang, Zixiang Kuai +4
To promote the generalization ability of breast tumor segmentation models, as well as to improve the segmentation performance for breast tumors with smaller size, low-contrast and…
GetNet: Get Target Area for Image Pairing
Henry H. Yu, Jiang Liu, Hao Sun +2
Image pairing is an important research task in the field of computer vision. And finding image pairs containing objects of the same category is the basis of many tasks such as trac…
Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis
Jingchi Jiang, Huanzheng Wang, Jing Xie +3
The representation of knowledge based on first-order logic captures the richness of natural language and supports multiple probabilistic inference models. Although symbolic represe…
VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-voxel Discrimination
Suyu Dong, Gongning Luo, Kuanquan Wang +5
3D left ventricle (LV) segmentation on echocardiography is very important for diagnosis and treatment of cardiac disease. It is not only because of that echocardiography is a real-…
Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images
Gongning Luo, Suyu Dong, Kuanquan Wang +3
Left ventricular (LV) volumes estimation is a critical procedure for cardiac disease diagnosis. The objective of this paper is to address direct LV volumes prediction task. Methods…
Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images
Hongkai Wang, Zongwei Zhou, Yingci Li +5
The present study shows that the performance of CNN is not significantly different from the best classical methods and human doctors for classifying mediastinal lymph node metastas…
Maximum mutual information regularized classification
Jim Jing-Yan Wang, Yi Wang, Shiguang Zhao +1
In this paper, a novel pattern classification approach is proposed by regularizing the classifier learning to maximize mutual information between the classification response and th…