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

Robust Unsupervised Deep Learning for Nonblind Image Deconvolution With Inaccurate Kernels

Abstract: Nonblind image deconvolution/deblurring aims at restoring sharp images from their noisy blurred versions using an associated blur kernel with potential ...
IEEE

Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution Based on Diagnostic Feature Spectrum for Rolling Bearing Fault Diagnosis

Abstract: Maximum cyclostationarity blind deconvolution effectively enhances the periodic components by maximizing the cyclostationary behavior associated with the fault-inducing source. However, the ...
PNAS

Correction for Li et al., Comprehensive tissue deconvolution of cell-free DNA by deep learning for disease diagnosis and monitoring

The authors note that the competing interest statement appeared incorrectly. The authors would like to disclose that co-authors X.J.Z and W.H.W. serve on the Board of Directors for EarlyDiagnostics, ...
GitHub

andreahaku/imageMM_for_pixinsight

Astronomical image deconvolution for PixInsight using the Majorization-Minimization algorithm. Based on: Sukurdeep et al. 2025, AJ, 170, 233 - "Multi-frame Image Restoration Using ...