A5046603391- Dark Matter and Cosmic Phenomena
- Atomic and Subatomic Physics Research
- Particle physics theoretical and experimental studies
- Radiation Detection and Scintillator Technologies
- Astrophysics and Cosmic Phenomena
- Particle Detector Development and Performance
- Remote Sensing and Land Use
- Virtual Reality Applications and Impacts
- Stellar, planetary, and galactic studies
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Radioactive element chemistry and processing
- Cerebrospinal fluid and hydrocephalus
- Traumatic Brain Injury and Neurovascular Disturbances
- Usability and User Interface Design
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Intracerebral and Subarachnoid Hemorrhage Research
- Urban Transport and Accessibility
- Nuclear Materials and Properties
- Art Therapy and Mental Health
- Astronomy and Astrophysical Research
- Neutrino Physics Research
- COVID-19 and Mental Health
- Image Enhancement Techniques
- Chemical Synthesis and Characterization
Aalto University
2025
Tongji University
2024-2025
Yunnan University
2024
Seoul National University
2002-2003
Implicit neural representation (INR) has emerged as a promising solution for encoding volumetric data, offering continuous representations and seamless compatibility with the volume rendering pipeline. However, optimizing an INR network from randomly initialized parameters each new is computationally inefficient, especially large-scale time-varying or ensemble datasets where volumes share similar structural patterns but require independent training. To close this gap, we propose Meta-INR,...