A5100612759- COVID-19 diagnosis using AI
- EEG and Brain-Computer Interfaces
- Flame retardant materials and properties
- Advanced Nanomaterials in Catalysis
- Nanoplatforms for cancer theranostics
- Dyeing and Modifying Textile Fibers
- Machine Learning in Healthcare
- Intracranial Aneurysms: Treatment and Complications
- Cardiac Imaging and Diagnostics
- Medical Imaging and Analysis
- Nonlinear Dynamics and Pattern Formation
- Evolution and Genetic Dynamics
- Polymer composites and self-healing
- Advanced MRI Techniques and Applications
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Cardiovascular Function and Risk Factors
- Covalent Organic Framework Applications
- Functional Brain Connectivity Studies
- Urban Heat Island Mitigation
- Medical Image Segmentation Techniques
- AI in cancer detection
- Acute Ischemic Stroke Management
- Mathematical and Theoretical Epidemiology and Ecology Models
- Luminescence and Fluorescent Materials
- Machine Learning and Algorithms
Qingdao University
2024
Affiliated Hospital of Qingdao University
2024
Sichuan Agricultural University
2023
Sun Yat-sen University
2022
Capital Medical University
2022
Shandong University of Traditional Chinese Medicine
2019-2021
Automated Screening of COVID-19 from chest CT is emergency and importance during the outbreak SARS-CoV-2 worldwide in 2020. However, accurate screening still a massive challenge due to spatial complexity 3D volumes, labeling difficulty infection areas, slight discrepancy between other viral pneumonia CT. While few pioneering works have made significant progress, they are either demanding manual annotations areas or lack interpretability. In this paper, we report our attempt towards achieving...
This paper addresses the new problem of automated screening coronavirus disease 2019 (COVID-19) based on chest X-rays, which is urgently demanded toward fast stopping pandemic. However, robust and accurate COVID-19 from X-rays still a globally recognized challenge because two bottlenecks: 1) imaging features share some similarities with other pneumonia 2) misdiagnosis rate very high, cost expensive. While few pioneering works have made much progress, they underestimate both crucial...
Clear cell renal carcinoma (ccRCC) is a disease with high incidence and poor prognosis. The conventional treatment involves radiotherapy chemotherapy, but chemotherapeutic agents are often associated side effects, i.e., cytotoxicity to nontumor cells. Therefore, there an urgent need for the development of novel therapeutic strategies ccRCC. We synthesized spherical P/TiO2 nanoparticles (P/TiO2 NPs) by vaporization phosphorization (VP). X-ray photoelectron spectroscopy (XPS)...
3D spinal structures segmentation is crucial to reduce the time-consumption issue and provide quantitative parameters for disease treatment surgical operation. However, most related studies of are based on 2D or single structure segmentation. Due high complexity structures, multiple with consistently reliable accuracy still a significant challenge. We developed validated relatively complete solution simultaneous semantic at voxel level named as S <sup...
This paper is devoted to studying the dynamics of two-species commensalism (amensalism) systems with delays. We first study system a distributed delay but without discrete delay, investigate local stabilities equilibria and prove existence transcritical bifurcation. Then, we delay. By analyzing characteristic equation positive equilibrium regarding as bifurcation parameter, show periodic solutions bifurcating from equilibrium. Also, derive precise formulae determine Hopf direction stability...
Abstract Background Semantic segmentation of white matter hyperintensities related to focal cerebral ischemia (FCI) and lacunar infarction (LACI) is significant importance for the automatic screening tiny lesions early prevention LACI. However, existing studies on brain magnetic resonance imaging lesion focus large with obvious features, such as glioma acute infarction. Owing multi-model areas FCI LACI, reliable precise and/or detection these still a challenge task. Methods We propose novel...
Migraine without aura (MwoA) is the most typical migraine disease in clinic, which endangered to human health and challenging diagnose. Developing auxiliary diagnosis algorithms of MwoA based on functional connectivity (FC) changes from resting-state magnetic resonance imaging (rs-fMRI) an important research domain. However, existing diagnostic methods mainly adopt a seed-based correlation method extract FC, are easily affected by subjective factors. Moreover, those neglect relationship...