Reporting page of the HVP Innovation Award 2019

Function for transpose convolution or 'deconvolution' in tensorflow

a simple deconvolution implemented with pyopencl

Public copy of the code developed for my Master Thesis with the Bio Nanoimaging group https://nanoimaging.de

Deconvolution of CRC in organoid and fibroblast bulk data identifying epithelial cell types proportions

Deconer: A Comprehensive and Systematic Cell Type Deconvolution Evaluator

de la Torre A, Valderrama J, Segura JC, Alvarez IM. Matrix-based formulation of the iterative randomized stimulation and averaging method for recording evoked potentials. Journal of the Acoustical Society of America (2019) 146, 4545-4556. doi: 10.1121/1.5139639.

Nextflow pipeline for analyzing empirical WGS data for the effect of positive selection on IBD-based inference

Deconvolution of hi-res GC/MS spectra

Ph.D. research on transdermal alcohol content

he deconvolution is a method to fill gaps in data, here implemented for the case of 1D.The deconvolution makes use of the convolution theorem and missing information is recovered in the frequency domain.

R Notebook with scripts for running the deconvolution of thymus bulk data identifying T-cell proportions

A study of the use of the Tensorflow GradientTape class for differentiation and custom gradient generation along with its use to implement a Deep-Convolutional Generative Adversarial Network (GAN) to generate images of hand-written digits.

Signal Processing Toolbox for Calcium Imaging Data

Contains analysis for the lute software paper

Deconvolution-like program to make Impule Responses (IR) using the reverse filter technique

Model-Free Deconvolution of 4D DCE MRI scans

Inverse Problems Project: Deconvolution of a Sparse Signal - 3rd year Electronics Engineering and Signal Processing at INP-ENSEEIHT

The fast transformation algorithm for transposed convolutional layers