772 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shanghai Jiao Tong UniversityCN14 papers
- Chinese Academy of SciencesCN3 papers
- Heidelberg UniversityDE3 papers
- Technical University of MunichDE3 papers
- AGH University of KrakowPL2 papers
- Arizona State UniversityUS2 papers
- Beijing Academy of Artificial IntelligenceCN2 papers
- East China Normal UniversityCN2 papers
- German Cancer Research CenterDE2 papers
- Harvard UniversityUS2 papers
- HES-SO Valais-WallisCH2 papers
- Max Planck Institute for Solid State ResearchDE2 papers
15 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…
A Physics-Driven Neural Network with Parameter Embedding for Generating Quantitative MR Maps from Weighted Images
Lingjing Chen, Chengxiu Zhang, Yinqiao Yi +9
We propose a deep learning-based approach that integrates MRI sequence parameters to improve the accuracy and generalizability of quantitative image synthesis from clinical weighte…
Modulating lipid membrane morphology by dynamic DNA origami networks
Juanjuan Yang, Kevin Jahnke, Ling Xin +11
Membrane morphology and its dynamic adaptation regulate many cellular functions, which are often mediated by membrane proteins. Advances in DNA nanotechnology have enabled the real…
Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework
Jun Li, Hongzhang Zhu, Tao Chen +1
Recently, numerous pancreas segmentation methods have achieved promising performance on local single-source datasets. However, these methods don't adequately account for generaliza…
A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans
Jun Li, Yijue Zhang, Haibo Shi +3
Pancreatic cancer, characterized by its notable prevalence and mortality rates, demands accurate lesion delineation for effective diagnosis and therapeutic interventions. The gener…
Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis
Qi Zhang, Xiuyuan Chen, Ziyi He +4
Cervical spondylosis, a complex and prevalent condition, demands precise and efficient diagnostic techniques for accurate assessment. While MRI offers detailed visualization of cer…
HealthiVert-GAN: A Novel Framework of Pseudo-Healthy Vertebral Image Synthesis for Interpretable Compression Fracture Grading
Qi Zhang, Cheng Chuang, Shunan Zhang +4
Osteoporotic vertebral compression fractures (OVCFs) are prevalent in the elderly population, typically assessed on computed tomography (CT) scans by evaluating vertebral height lo…
3D Single-shot CEST imaging at 3T Based on True FISP Readout
Yupeng Wu, Qifan Pang, Zhichao Wang +9
To simultaneously fit multiple-pool effects, spectrally selective 3D CEST imaging typically requires single-shot readouts to save time. However, to date, FLASH and EPI have been th…
SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced Network
Guorui Lu, Jing Peng, Bingyuan Huang +4
Epileptic seizures cause abnormal brain activity, and their unpredictability can lead to accidents, underscoring the need for long-term seizure prediction. Although seizures can be…
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences
Yuetan Chu, Gongning Luo, Longxi Zhou +13
Pulmonary artery-vein segmentation is crucial for disease diagnosis and surgical planning and is traditionally achieved by Computed Tomography Pulmonary Angiography (CTPA). However…
The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
Kaiyuan Yang, Fabio Musio, Yihui Ma +112
The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, an…
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography
Lin Wang, Xiufen Ye, Donghao Zhang +9
Usually, lesions are not isolated but are associated with the surrounding tissues. For example, the growth of a tumour can depend on or infiltrate into the surrounding tissues. Due…
Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit
Jianwei Xu, Ran Zhao, Yizhou Yu +5
Automatic detection of polyps is challenging because different polyps vary greatly, while the changes between polyps and their analogues are small. The state-of-the-art methods are…
DNA origami
Swarup Dey, Chunhai Fan, Kurt V. Gothelf +9
Biological materials are self-assembled with near-atomic precision in living cells, whereas synthetic 3D structures generally lack such precision and controllability. Recently, DNA…