A5103136759- Medical Imaging and Analysis
- Facial Nerve Paralysis Treatment and Research
- Digital Radiography and Breast Imaging
- Innovation and Knowledge Management
- Advanced Database Systems and Queries
- Network Security and Intrusion Detection
- Medical Image Segmentation Techniques
- Acupuncture Treatment Research Studies
- Business Strategy and Innovation
- Complex Network Analysis Techniques
- Digital Platforms and Economics
- Data Quality and Management
- Anomaly Detection Techniques and Applications
- Infrared Thermography in Medicine
- Service-Oriented Architecture and Web Services
Vanderbilt University
2023
Northeastern University
2020
Purpose Interorganizational research and development (R&D) networking encounters obstructions, due mainly to inefficient resource utilization necessary breakthroughs are not achieved. We aim explore the interplay between a firm’s internal knowledge network subsequent consumption efficiency. Design/methodology/approach build collaborative networks through screening patent data for 2007–2019 in aerospace industry. By integrating social analysis (SNA) with envelopment (DEA), we measure...
Infrared thermography (IRT), as a noncontact tool for temperature measurement, is widely applied in the study of acupuncture modernization. The aim this was to assess intra- and interrater reliability infrared image analysis facial acupoints subjects with paralysis determine factors influencing variability measured values. A total 26 patients on one side, aged 53 years, participated voluntarily study. Facial thermal images all participants were analyzed by two trained raters at different...
The deployment of deep learning algorithms in clinical practice faces challenges data privacy and local hardware constraints. This work presents the tools design choices a browser-based edge computing framework to address these challenges. We leverage this for 3D medical image segmentation from computed tomography characterize its speed, memory, limitations across various operating systems browsers. Our platform deploys learning-based 256×256×256 volume with an average runtime 80 seconds...