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
Jun 18, 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.
Tensorflow implementation : U-net and FCN with global convolution
DICOM Image Segmentation with CNNs in Tensorflow
Calibrated inference of spiking from calcium ΔF/F data using deep networks
Cell-Centric View of Tissue Transcriptome Measuring Cellular Compositions of Immune Microenvironment From Mouse RNA-Seq Data.
Expression Weighted Celltype Enrichment. See the package website for up-to-date instructions on usage.
Deep Learning based cell composition analysis with Scaden.
Example of Deconvnet in PyTorch for VGG16
Toolkit for Liquid Argon TPC Simulation and Reconstruction
ConsensusTME Gene Sets and R Script
Matlab research tools to read, write and process seismic data
rsHRF: A Toolbox for Resting State HRF Deconvolution and Connectivity Analysis (MATLAB)
Java (ImageJ/Fiji) software package for 3D deconvolution microscopy
A matlab EEG toolbox to perform overlap correction and non-linear & linear regression.
Official MATLAB implementation of the "Sparse deconvolution" -v1.0.3
A Physical Model of Non-stationary Blur in Ultrasound Imaging
You will learn how to recover an out-of-focus image by Wiener filter
Iterative unfolding for Python
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