Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
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Updated
Dec 13, 2024 - Python
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
Holistically-Nested Edge Detection
EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
Calibrated inference of spiking from calcium ΔF/F data using deep networks
Tensorflow implementation : U-net and FCN with global convolution
DICOM Image Segmentation with CNNs in Tensorflow
Matlab research tools to read, write and process seismic data
Official MATLAB implementation of the "Sparse deconvolution" -v1.0.3
Deep Learning based cell composition analysis with Scaden.
Example of Deconvnet in PyTorch for VGG16
A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.
a fully Bayesian approach to deconvolve tumor microenvironment
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Expression Weighted Celltype Enrichment. See the package website for up-to-date instructions on usage.
Java (ImageJ/Fiji) software package for 3D deconvolution microscopy
Official code for Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMM
Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
rsHRF: A Toolbox for Resting State HRF Deconvolution and Connectivity Analysis (MATLAB)
You will learn how to recover a motion blur image by Wiener filter
Deconvolution of widefield microscopy images and generation of point spread functions
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