A5066437555- AI in cancer detection
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Acute Ischemic Stroke Management
- Cerebrovascular and Carotid Artery Diseases
- Retinal Imaging and Analysis
- Neural dynamics and brain function
- Neural Networks and Applications
- Face and Expression Recognition
- Functional Brain Connectivity Studies
- Deception detection and forensic psychology
- Cognitive Science and Mapping
- Machine Learning and Data Classification
- Medical Imaging and Analysis
- Air Quality Monitoring and Forecasting
- Job Satisfaction and Organizational Behavior
- Social and Intergroup Psychology
- Personality Traits and Psychology
- Innovation and Knowledge Management
- Image Retrieval and Classification Techniques
- Advanced Neuroimaging Techniques and Applications
- Artificial Intelligence in Healthcare
Qilu University of Technology
2024
Shandong Academy of Sciences
2024
Dalian University of Technology
2024
Capital Medical University
2023
Beijing Tian Tan Hospital
2023
University of Houston
2010-2017
The authors propose a new procedure for reducing faking on personality tests within selection contexts. This computer-based attempts to identify and warn potential fakers early during the testing process then give them chance recourse. Two field studies were conducted test efficacy of proposed procedure. Study 1 participants 157 applicants competing 10 staff positions at large university located in southern city People's Republic China. In 1, received warning message, whereas nonfakers...
Functional data analysis (FDA) considers the continuity of curves or functions, and is a topic increasing interest in statistics community. FDA commonly applied to time-series spatial-series studies. The development functional brain imaging techniques recent years made it possible study relationship between mind over time. Consequently, an enormous amount collected needs be analyzed. designed for these are strong demand. This paper discusses three statistically challenging problems utilizing...
Purpose The purpose of this paper is to contribute the human resources (HR) literature by using exploratory network analysis (ENA), a data-driven technique. This technique was employed discover how perceived effectiveness HR practices interrelate with employee perceptions on organizational cultural factors enhance commitment. Design/methodology/approach authors used data from 1,459 employees large South Korean conglomerate and studied individual could be enhanced specific factors. were...
As the population ages, early diagnosis and treatment of lung diseases become increasingly important. Accurate assessment aging-related changes in CT images is crucial for prevention related diseases. Traditional methods aging from are time-consuming, subjective, heavily reliant on clinical experience doctors. To address these issues, this paper proposes a method with 3D-CA Net. The feature extraction part proposed network consists four main 3D Convolutional Composite Multidimensional...
Digital subtraction angiography (DSA) is universally acknowledged as the gold standard for examining lesion angioarchitecture, elucidating arterial blood supply dynamics, and guiding endovascular interventions. The automatic segmentation of intracranial arteries (IA) in DSA, which pivotal quantifying vascular morphology, plays an essential role computer-assisted stroke research clinical practices. Nevertheless, this specific domain remains constrained, primarily owing to unavailability...