1 citations · 3 across the 4 of their papers we have counts for
4 papers
Differentiable Imaging Meets Adaptive Neural Dropout: An Advancing Method for Transparent Object Tomography
Delong Yang, Shaohui Zhang, Jiasong Sun +2
Label-free tomographic microscopy offers a compelling means to visualize three-dimensional (3D) refractive index (RI) distributions from two-dimensional (2D) intensity measurements…
Batch-FPM: Random batch-update multi-parameter physical Fourier ptychography neural network
Ruiqing Sun, Delong Yang, Yiyan Su +2
Fourier Ptychographic Microscopy (FPM) is a computational imaging technique that enables high-resolution imaging over a large field of view. However, its application in the biomedi…
Hybrid deep learning and physics-based neural network for programmable illumination computational microscopy
Ruiqing Sun, Delong Yang, Shaohui Zhang +1
Relying on either deep models or physical models are two mainstream approaches for solving inverse sample reconstruction problems in programmable illumination computational microsc…
Fourier ptychography multi-parameter neural network with composite physical priori optimization
Delong Yang, Shaohui Zhang, Chuanjian Zheng +4
Fourier ptychography microscopy(FP) is a recently developed computational imaging approach for microscopic super-resolution imaging. By turning on each light-emitting-diode (LED) l…