826 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- 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
7 papers · 1 filter
Full end-to-end diagnostic workflow automation of 3D OCT via foundation model-driven AI for retinal diseases
Jinze Zhang, Jian Zhong, Li Lin +18
Optical coherence tomography (OCT) has revolutionized retinal disease diagnosis with its high-resolution and three-dimensional imaging nature, yet its full diagnostic automation in…
Unsupervised Cycle-consistent Generative Adversarial Networks for Pan-sharpening
Huanyu Zhou, Qingjie Liu, Dawei Weng +1
Deep learning based pan-sharpening has received significant research interest in recent years. Most of existing methods fall into the supervised learning framework in which they do…
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…
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
Xi Ouyang, Jiayu Huo, Liming Xia +15
The coronavirus disease (COVID-19) is rapidly spreading all over the world, and has infected more than 1,436,000 people in more than 200 countries and territories as of April 9, 20…
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
Xiaomei Zhao, Yihong Wu, Guidong Song +3
Accurate and reliable brain tumor segmentation is a critical component in cancer diagnosis, treatment planning, and treatment outcome evaluation. Build upon successful deep learnin…