268 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Tianjin UniversityCN7 papers
- Tsinghua UniversityCN4 papers
- Peking UniversityCN3 papers
- Second Hospital of Tianjin Medical UniversityCN3 papers
- Tianjin Medical University Eye HospitalCN3 papers
- Tianjin University of TechnologyCN3 papers
- Beijing Academy of Artificial IntelligenceCN2 papers
- Beijing Tongren HospitalCN2 papers
- Chinese PLA General HospitalCN2 papers
- Renmin University of ChinaCN2 papers
- Sun Yat-sen UniversityCN2 papers
- Tianjin Medical University Cancer Institute and HospitalCN2 papers
6 papers · 1 filter
Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis
Lu Zhang, Huizhen Yu, Zuowei Wang +4
Retinal diseases spanning a broad spectrum can be effectively identified and diagnosed using complementary signals from multimodal data. However, multimodal diagnosis in ophthalmic…
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…
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation
Zhaohu Xing, Lei Zhu, Lequan Yu +2
Masked image modeling (MIM) with transformer backbones has recently been exploited as a powerful self-supervised pre-training technique. The existing MIM methods adopt the strategy…
Learn to Segment Retinal Lesions and Beyond
Qijie Wei, Xirong Li, Weihong Yu +8
Towards automated retinal screening, this paper makes an endeavor to simultaneously achieve pixel-level retinal lesion segmentation and image-level disease classification. Such a m…
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection
Sunyi Zheng, Jiapan Guo, Xiaonan Cui +3
Accurate pulmonary nodule detection is a crucial step in lung cancer screening. Computer-aided detection (CAD) systems are not routinely used by radiologists for pulmonary nodule d…
Segmentation of histological images and fibrosis identification with a convolutional neural network
Xiaohang Fu, Tong Liu, Zhaohan Xiong +3
Segmentation of histological images is one of the most crucial tasks for many biomedical analyses including quantification of certain tissue type. However, challenges are posed by…