Results 331 to 340 of about 7,150,154 (369)
Some of the next articles are maybe not open access.
Loss Functions for Image Restoration With Neural Networks
IEEE Transactions on Computational Imaging, 2017Hang Zhao +3 more
semanticscholar +1 more source
Image enhancement and restoration
1975The aim of collecting data is to gain meaningful information about a phenomenon of interest. Unfortunately, often the phenomenon is not a direct physical observable. Instead, e.g., the data at hand may be a linear superposition of the desired quantities.
openaire +1 more source
Bayesian image restoration, with two applications in spatial statistics
, 1991J. Besag, J. York, A. Mollié
semanticscholar +1 more source
Automated molecular-image cytometry and analysis in modern oncology
Nature Reviews Materials, 2020Ralph Weissleder, Hakho Lee
exaly
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Nature Methods, 2020Fabian Isensee +2 more
exaly
DiffBIR: Toward Blind Image Restoration with Generative Diffusion Prior
European Conference on Computer VisionXinqi Lin +8 more
semanticscholar +1 more source
Ultrafast machine vision with 2D material neural network image sensors
Nature, 2020Lukas Mennel +2 more
exaly