826 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Capital Medical UniversityCN4 papers
- Beijing University of Posts and TelecommunicationsCN2 papers
- Chinese Academy of SciencesCN2 papers
- Dalian University of TechnologyCN2 papers
- Arizona State UniversityUS1 paper
- Beihang UniversityCN1 paper
- Beijing Advanced Sciences and Innovation CenterCN1 paper
- Beijing Institute for Brain DisordersCN1 paper
- Centre for Healthy Brain AgeingAU1 paper
- Dalian UniversityCN1 paper
- Eindhoven University of TechnologyNL1 paper
- Erasmus MCNL1 paper
6 papers
Clinical Translation of Brain-Computer Interface in China: A Landscape Analysis of Investigator-Initiated Trials, Registered Clinical Trials, and Regulatory Approval
Long Chen, Wanyi Qing, Fa Lin +9
Neurological injury affects hundreds of millions of people worldwide, yet the loss of motor or communication functions resulting from stroke, spinal cord injury, and neurodegenerat…
Predictive Radiomics for Evaluation of Cancer Immune SignaturE in Glioblastoma: the PRECISE-GBM study
Prajwal Ghimire, Junjie Li, Liu Yaou +2
Background: Radiogenomics allows identification of radiological biomarkers for genomic phenotypes. In glioblastoma, these biomarkers could potentially complement patient stratifica…
HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesis
Zhihan Ju, Wanting Zhou, Longteng Kong +4
Medical Image Synthesis (MIS) plays an important role in the intelligent medical field, which greatly saves the economic and time costs of medical diagnosis. However, due to the co…
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences
Wentao Liu, Tong Tian, Lemeng Wang +11
The automated segmentation of Intracranial Arteries (IA) in Digital Subtraction Angiography (DSA) plays a crucial role in the quantification of vascular morphology, significantly c…
Brain Age Estimation From MRI Using Cascade Networks with Ranking Loss
Jian Cheng, Ziyang Liu, Hao Guan +6
Chronological age of healthy people is able to be predicted accurately using deep neural networks from neuroimaging data, and the predicted brain age could serve as a biomarker for…
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
Xiaomei Zhao, Yihong Wu, Guidong Song +3
Accurate and reliable brain tumor segmentation is a critical component in cancer diagnosis, treatment planning, and treatment outcome evaluation. Build upon successful deep learnin…