4 citations · 9 across the 3 of their papers we have counts for
3 papers
eess.IV2022★ 2 cited
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★ 3 cited
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…
eess.IV2020★ 4 cited
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…