3 papers
eess.IV2025
CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction
Zhiting Zheng, Shuqi Wu, Wen Ding
Low-dose CT (LDCT) images are often accompanied by significant noise, which negatively impacts image quality and subsequent diagnostic accuracy. To address the challenges of multi-…
quant-ph2024
Benchmarking Quantum Convolutional Neural Networks for Classification and Data Compression Tasks
Jun Yong Khoo, Chee Kwan Gan, Wenjun Ding +3
Quantum Convolutional Neural Networks (QCNNs) have emerged as promising models for quantum machine learning tasks, including classification and data compression. This paper investi…
physics.plasm-ph2016
Aligned copper nanorod arrays for highly efficient generation of intense ultra-broadband THz pulses
S. Mondal, Q. Wei, W. J. Ding +9
We demonstrate an intense broadband terahertz (THz) source based on the interaction of relativistic-intensity femtosecond lasers with aligned copper nanorod array targets. For copp…