Nature

Target deconvolution strategies in drug discovery

In this postgenomic era, the perceived 'failure' of target-based drug discovery (in part owing to the complexities of biological systems and disease pathophysiology) has recently led to the ...
IEEE

Tuning-Free Plug-and-Play Hyperspectral Image Deconvolution With Deep Priors

Abstract: Deconvolution is a widely used strategy to mitigate the blurring and noisy degradation of hyperspectral images (HSIs) generated by the acquisition devices. This issue is usually addressed by ...
IEEE

Asynchronous Deconvolution Filtering for 2-D Markov Jump Systems With Packet Loss Compensation

Abstract: In this work, we address the issue of asynchronous deconvolution filter design for 2-D Markov jump systems with random packet losses. First, the considered plant is established by a ...
GitHub

A new extended cell deconvolution for peripheral blood

License: see LICENSE document For an academic license please download, sign and send a copy of the LICENSE document to [email protected], please cc ...
GitHub

INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-blind Image Deblurring in Low-Light Conditions

This repository contains the PyTorch code for our paper "INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-blind Image Deblurring in Low-Light Conditions" by Zhihong Zhang, Yuxiao ...