45 citations
- Shandong Provincial HospitalCN4 papers
- Shandong Tumor HospitalCN3 papers
- Shandong UniversityCN3 papers
- Al-Neelain UniversitySD2 papers
- Commonwealth Scientific and Industrial Research OrganisationAU1 paper
- Data61AU1 paper
- La Trobe UniversityAU1 paper
- LMU KlinikumDE1 paper
- Macao Polytechnic UniversityMO1 paper
- Macquarie UniversityAU1 paper
- Northwestern Polytechnical UniversityCN1 paper
- Pennsylvania State UniversityUS1 paper
7 papers
Unsupervised Anomaly Detection in Brain MRI via Disentangled Anatomy Learning
Tao Yang, Xiuying Wang, Hao Liu +4
Detection of various lesions in brain MRI is clinically critical, but challenging due to the diversity of lesions and variability in imaging conditions. Current unsupervised learni…
Cross-Axis Weighted Harmonic Method: A Frequency-Domain Approach for Enhanced Resolution in Magnetic Particle Imaging
Abuobaida M. khair, Wenjing Jiang, Moritz Wildgruber +2
Magnetic Particle Imaging (MPI) is a promising imaging modality that tracks magnetic nanoparticles (MNPs) to generate real time, high-resolution images. However, achieving an optim…
High-Resolution Magnetic Particle Imaging System Matrix Recovery Using a Vision Transformer with Residual Feature Network
Abuobaida M. Khair, Wenjing Jiang, Yousuf Babiker M. Osman +2
This study presents a hybrid deep learning framework, the Vision Transformer with Residual Feature Network (VRF-Net), for recovering high-resolution system matrices in Magnetic Par…
LatXGen: Towards Radiation-Free and Accurate Quantitative Analysis of Sagittal Spinal Alignment Via Cross-Modal Radiographic View Synthesis
Moxin Zhao, Nan Meng, Jason Pui Yin Cheung +7
Adolescent Idiopathic Scoliosis (AIS) is a complex three-dimensional spinal deformity, and accurate morphological assessment requires evaluating both coronal and sagittal alignment…
Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation
Qiangguo Jin, Hui Cui, Junbo Wang +7
Semi-supervised learning (SSL) has attracted considerable attention in medical image processing. The latest SSL methods use a combination of consistency regularization and pseudo-l…
BioGraphFusion: Graph Knowledge Embedding for Biological Completion and Reasoning
Yitong Lin, Jiaying He, Jiahe Chen +3
Motivation: Biomedical knowledge graphs (KGs) are crucial for drug discovery and disease understanding, yet their completion and reasoning are challenging. Knowledge Embedding (KE)…