H. J. Wang

ORCID: 0009-0006-1370-2898
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About
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Research Areas
  • Particle physics theoretical and experimental studies
  • Quantum Chromodynamics and Particle Interactions
  • High-Energy Particle Collisions Research
  • Atomic and Subatomic Physics Research
  • Computational Physics and Python Applications
  • Medical Imaging Techniques and Applications
  • Dark Matter and Cosmic Phenomena
  • Medical Image Segmentation Techniques
  • Particle Detector Development and Performance
  • Image and Signal Denoising Methods
  • Advanced X-ray and CT Imaging
  • Neutrino Physics Research
  • Experimental and Theoretical Physics Studies
  • Digital Media and Visual Art
  • Cosmology and Gravitation Theories
  • AI in cancer detection
  • Radiation Dose and Imaging

Lanzhou University
2023-2025

Southeast University
2025

University of Hong Kong
2022

Cone-beam CT (CBCT) with irregular trajectories has been widely used in various fields such as clinical medicine and scientific research. Precise geometric calibration is a crucial prerequisite for determining the imaging quality of these systems. Current primary methods rely on highly accurate phantoms complex patterns. However, to reduce reliance manufacturing specialized equipment, common alternative method use well-calibrated CBCT system matching resolution measure phantom. when...

10.1109/tim.2025.3527524 article EN IEEE Transactions on Instrumentation and Measurement 2025-01-01

In the last few years, with rapid development of deep learning technologies, supervised methods based on convolutional neural networks have greatly enhanced performance medical image denoising. However, these require large quantities noisy-clean pairs for training, which limits their practicality. Although some researchers attempted to train denoising using only single noisy images, existing self-supervised methods, including blind-spot-based and data-splitting-based heavily rely assumption...

10.48550/arxiv.2411.10831 preprint EN arXiv (Cornell University) 2024-11-16

Purpose: The main purpose of this study is to know that the attitude museum visitors towards application modern information technology in museums mostly positive through one-to-one and semi-structured interviews. And all interviewees think applying can improve visitors' experience effectively transfer cultural knowledge behind relics. Moreover, it also help better publicize culture protect safety relics maximum extent. Design/methodology/approach: This qualitative research will collect data...

10.53469/jissr.2022.09(10).16 article EN Journal of Innovation and Social Science Research 2022-10-30
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