papers

Publications (7)

physics.app-ph2025

High-Efficiency Isolator-Free Magnetron Power Combining Method Based on H-Plane Tee Coupling and Peer-to-Peer Locking

Shaoyue Wang, Xu Zhu, Xiaojie Chen +4

Magnetrons are widely used as high-performance microwave sources in microwave heating, microwave chemistry, and microwave power transmission due to their high efficiency, low cost,…

eess.IV2020

Photoacoustic Microscopy with Sparse Data Enabled by Convolutional Neural Networks for Fast Imaging

Jiasheng Zhou, Da He, Xiaoyu Shang +3

Photoacoustic microscopy (PAM) has been a promising biomedical imaging technology in recent years. However, the point-by-point scanning mechanism results in low-speed imaging, whic…

eess.IV2021

Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions

Mengxi Liu, Qian Shi, Andrea Marinoni +3

Change detection, which aims to distinguish surface changes based on bi-temporal images, plays a vital role in ecological protection and urban planning. Since high resolution (HR)…

eess.IV2019

Adaptive Weighting Depth-variant Deconvolution of Fluorescence Microscopy Images with Convolutional Neural Network

Da He, De Cai, Jiasheng Zhou +2

Fluorescence microscopy plays an important role in biomedical research. The depth-variant point spread function (PSF) of a fluorescence microscope produces low-quality images espec…

physics.app-ph2025

Study on Improving Microwave Heating Uniformity Based on Phase-Frequency Simultaneous Modulation Technique

Xu Zhu, Shaoyue Wang, Da He +3

Conventional microwave heating techniques are limited due to inherent thermal point residency effects and inadequate control over the heating process. A novel method is proposed to…

eess.IV2022

De-Noising of Photoacoustic Microscopy Images by Deep Learning

Da He, Jiasheng Zhou, Xiaoyu Shang +2

As a hybrid imaging technology, photoacoustic microscopy (PAM) imaging suffers from noise due to the maximum permissible exposure of laser intensity, attenuation of ultrasound in t…

cs.CV2020

Adherent Mist and Raindrop Removal from a Single Image Using Attentive Convolutional Network

Da He, Xiaoyu Shang, Jiajia Luo

Temperature difference-induced mist adhered to the glass, such as windshield, camera lens, is often inhomogeneous and obscure, easily obstructing the vision and severely degrading…