72 citations
- Central South UniversityCN8 papers
- Shanxi Medical UniversityCN2 papers
- Sun Yat-sen UniversityCN2 papers
- Beijing Institute of TechnologyCN1 paper
- Beijing Tongren HospitalCN1 paper
- Beijing Tsinghua Chang Gung HospitalCN1 paper
- BiocomUS1 paper
- Capital Medical UniversityCN1 paper
- Changchun University of Science and TechnologyCN1 paper
- Chengdu University of Traditional Chinese MedicineCN1 paper
- Chinese Academy of SciencesCN1 paper
- Chinese University of Hong KongHK1 paper
8 papers
A Magnetic Millirobot Walks on Slippery Biological Surfaces for Targeted Cargo Delivery
Moonkwang Jeong, Xiangzhou Tan, Felix Fischer +1
Small-scale robots hold great potential for targeted cargo delivery in minimally-inv asive medicine. However, current robots often face challenges to locomote efficiently on slip p…
VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence
Jianing Qiu, Jian Wu, Hao Wei +39
We present VisionFM, a foundation model pre-trained with 3.4 million ophthalmic images from 560,457 individuals, covering a broad range of ophthalmic diseases, modalities, imaging…
Single-shot quantitative differential phase contrast imaging combined with programmable polarization multiplexing illumination
Siying Liu, Chuanjian Zheng, Qun Hao +2
We propose a single-shot quantitative differential phase contrast (DPC) method with polarization multiplexing illumination. In the illumination module of our system, the programmab…
Automatic reorientation by deep learning to generate short axis SPECT myocardial perfusion images
Fubao Zhu, Guojie Wang, Chen Zhao +6
Single photon emission computed tomography (SPECT) myocardial perfusion images (MPI) can be displayed both in traditional short-axis (SA) cardiac planes and polar maps for interpre…
Preparing data for pathological artificial intelligence with clinical-grade performance
Yuanqing Yang, Kai Sun, Yanhua Gao +2
[Purpose] The pathology is decisive for disease diagnosis, but relies heavily on the experienced pathologists. Recently, pathological artificial intelligence (PAI) is thought to im…
More but Correct: Generating Diversified and Entity-revised Medical Response
Bin Li, Encheng Chen, Hongru Liu +5
Medical Dialogue Generation (MDG) is intended to build a medical dialogue system for intelligent consultation, which can communicate with patients in real-time, thereby improving t…