72 citations
- Xi'an Jiaotong UniversityCN3 papers
- Central South UniversityCN2 papers
- Shanxi Medical UniversityCN2 papers
- Beijing Tongren HospitalCN1 paper
- Beijing Tsinghua Chang Gung HospitalCN1 paper
- Brunel University of LondonGB1 paper
- Capital Medical UniversityCN1 paper
- Chengdu University of Traditional Chinese MedicineCN1 paper
- Chinese University of Hong KongHK1 paper
- Franklin CollegeUS1 paper
- Han Dan City Eye Hospital - The Third Hospital of HandanCN1 paper
- Henan Academy of SciencesCN1 paper
7 papers
Emergent aperiodicity in Bose-Bose mixtures induced by spin-dependent periodic potentials
Abid Ali, Pei Zhang, Hiroki Saito +1
We study the ground-state and low-lying metastable phases of repulsive binary Bose-Einstein condensates confined in twisted, spin-dependent periodic optical lattices. For balanced…
Dual-Task Vision Transformer for Rapid and Accurate Intracerebral Hemorrhage CT Image Classification
Jialiang Fan, Xinhui Fan, Chengyan Song +4
Intracerebral hemorrhage (ICH) is a severe and sudden medical condition caused by the rupture of blood vessels in the brain, leading to permanent damage to brain tissue and often r…
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…
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation
Tao Lei, Rui Sun, Xuan Wang +3
The hybrid architecture of convolutional neural networks (CNNs) and Transformer are very popular for medical image segmentation. However, it suffers from two challenges. First, alt…
Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
Zeyu Gao, Jiangbo Shi, Xianli Zhang +6
The grade of clear cell renal cell carcinoma (ccRCC) is a critical prognostic factor, making ccRCC nuclei grading a crucial task in RCC pathology analysis. Computer-aided nuclei gr…
Multi-scale super-resolution generation of low-resolution scanned pathological images
Kai Sun, Yanhua Gao, Ting Xie +5
Background. Digital pathology has aroused widespread interest in modern pathology. The key of digitalization is to scan the whole slide image (WSI) at high magnification. The lager…