A5062545619- Advanced Vision and Imaging
- Pulmonary Hypertension Research and Treatments
- Generative Adversarial Networks and Image Synthesis
- Cardiovascular Function and Risk Factors
- Human Pose and Action Recognition
- Cardiac Imaging and Diagnostics
- Non-Destructive Testing Techniques
- Face recognition and analysis
- Breast Cancer Treatment Studies
- Modular Robots and Swarm Intelligence
- Robotic Path Planning Algorithms
- Spectroscopy and Chemometric Analyses
- HER2/EGFR in Cancer Research
- Biometric Identification and Security
- Forensic and Genetic Research
- Estrogen and related hormone effects
- Animal Diversity and Health Studies
- Welding Techniques and Residual Stresses
- Cardiovascular Issues in Pregnancy
- Magnetic Properties and Applications
- Robot Manipulation and Learning
- Identification and Quantification in Food
Army Medical University
2023-2024
Xinqiao Hospital
2023-2024
Fudan University Shanghai Cancer Center
2024
Shanghai Medical College of Fudan University
2024
Xinjiang University
2023
Kyoto University
2022
National Tsing Hua University
2017
Tsinghua University
2001
Objective: Mammographic calcifications are a common feature of breast cancer, but their molecular characteristics and treatment implications in hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2−) cancer remain unclear. Methods: We retrospectively collected mammography records an HR+/HER2− cohort (n = 316) with matched clinicopathological, genomic, transcriptomic, metabolomic data. On the basis mammographic images, we grouped tumors by calcification...
Most prior iris recognition techniques based on the existing pipeline have already reached their limits. Therefore, this work explores possibility of applying deep learning technique to field recognition. We combine a novel segmentation network with modified resnet-18 as matching network. The architecture consists an iterative altered FCN (fully convolutional network) which contains path contracting layers capture features and symmetric upsampling that gives precise pixel-to-pixel...
Aim: To identify the predictive role of triglyceride-glucose (TyG) index in pulmonary hypertension (PH) coronary artery disease (CAD) patients after percutaneous intervention (PCI) treatment.
In this paper a new type of large displacement eddy current sensor is developed to overcome the three main disadvantages traditional senor. For sensor, measurement range limited and less than one half diameter measuring coil. The output high sensitivity changes target material cable length connected between probe preamplifier. When or changed, it necessary readjust has coaxial coils, an exciting coil other two are receiving coils. coils (Phi) 11 mm. 40mm almost four times form differential...
Video analysis has been moving towards more detailed interpretation (e.g. segmentation) with encouraging progresses. These tasks, however, increasingly rely on densely annotated training data both in space and time. Since such annotation is labour-intensive, few video region boundaries exist. This work aims to resolve this dilemma by learning automatically generate for all frames of a from sparsely bounding boxes target regions. We achieve Volumetric Graph Convolutional Network (VGCN), which...
Abstract Aim To identify the predictive role of TyG index for onset pulmonary hypertension in patients with coronary artery disease (CAD) who underwent percutaneous intervention (PCI) treatment. Methods We performed this prospective cohort study among CAD received PCI treatment our center from July 2016 to October 2022. The baselines echocardiography at both cross-sections and blood biomarkers. A angiography operation was also performed. Within a median 4.5 years follow-up, measure their...
Abstract Food safety has been a worldwide concern, and raw materials’ adulteration is oneof the significant factors contributing to this problem. Camel milk high nutri-tional economic value but faces problems. With time-consuming,poor stability, low accuracy, existing identification frame-works are limited applications. This paper proposes an efficient dairy adulterationidentification framework (EnDairy) based on ensemble learning algorithmto solve these Specifically, samples identified by...