826 citations
- Beijing Tongren HospitalCN10 papers
- Tsinghua UniversityCN10 papers
- Chinese Academy of SciencesCN7 papers
- Peking UniversityCN7 papers
- Beijing Chao-Yang Hospital, Capital Medical UniversityCN6 papers
- Beijing Friendship HospitalCN6 papers
- Beihang UniversityCN5 papers
- Beijing Tian Tan HospitalCN4 papers
- Chinese Academy of Medical Sciences & Peking Union Medical CollegeCN4 papers
- Sun Yat-sen UniversityCN4 papers
- Beijing Anzhen HospitalCN3 papers
- Beijing Tsinghua Chang Gung HospitalCN3 papers
8 papers · 1 filter
A multilayer interstitial fluid flow along vascular adventitia
Hongyi Li, You Lv, Xiaoliang Chen +5
Objective: Interstitial fluid flow through vascular adventitia has been disclosed recently. However, its kinetic pattern was unclear. Methods and Results: We used histological and…
Measuring the linear and nonlinear elastic properties of brain tissue with shear waves and inverse analysis
Yi Jiang, Guoyang Li, Lin-Xue Qian +3
We use supersonic shear wave imaging (SSI) technique to measure not only the linear but also the nonlinear elastic properties of brain matter. Here, we tested six porcine brains ex…
Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling
Shuang Yu, Hong-Yu Zhou, Kai Ma +4
Medical images are generally labeled by multiple experts before the final ground-truth labels are determined. Consensus or disagreement among experts regarding individual images re…
Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning
Junde Wu, Shuang Yu, Wenting Chen +5
Recently, deep learning has been adopted to the glaucoma classification task with performance comparable to that of human experts. However, a well trained deep learning model deman…
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning
Xinwei Sun, Yilun Xu, Peng Cao +4
Fusing data from multiple modalities provides more information to train machine learning systems. However, it is prohibitively expensive and time-consuming to label each modality w…
DcardNet: Diabetic Retinopathy Classification at Multiple Levels Based on Structural and Angiographic Optical Coherence Tomography
Pengxiao Zang, Liqin Gao, Tristan T. Hormel +4
Objective: Optical coherence tomography (OCT) and its angiography (OCTA) have several advantages for the early detection and diagnosis of diabetic retinopathy (DR). However, automa…