🏥 Quantification of Parkinsonian and Essential Tremor using a novel, bluetooth-integrated accelerometer based system
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Updated
Jan 13, 2017 - Python
🏥 Quantification of Parkinsonian and Essential Tremor using a novel, bluetooth-integrated accelerometer based system
Create and use linear- and power-regression based calibration curves
Generating Nonlinear models of data from 6 sensors placed on a human in a very controlled environment.
Tissue segmentation and quantification on histopathological images
Pipeline for RNA-seq analysis
Pruning and quantization for SSD. Model compression.
This repository contains the software developed for our 2020 publication to Journal of Clinical Medicine, on the topic of "Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography"
ORF Quantification pipeline for Alternative Splicing
Defect Detection and Quantification Toolbox
Quantification of helical morphologies
A pipeline to assess the quantification of transcripts.
flameplot is a python package for the quantification of local similarity across two maps or embeddings.
Deeep learning model for quantifying spatilized j-resolved Magnetic Resonance Spectroscopy
MyoQuant-Streamlit is a demo web application to showcase usage of MyoQuant. Demo version deployed at: https://lbgi.fr/MyoQuant
Quantifying the dynamics of long-range cell-cell mechanical communication paper code
MARISSA - Magnetic Resonance Imaging Software for Standardization
A workflow designed to perform multiplexed image analysis, specialising in (but not limited to) analysis of metal distribution in LA-ICP-TOFMS data.
Preprocess, noise-reduction, threshold & quantify images to get box plots for each class (mainly cell cultures of different cel llines). Colocalization due to a naive trick of counting all overlapping signals/pixels. Could be done in ImageJ as well, but i thought this is better suited than fiddling with macros.
QuantificationLib is an open-source library for quantification learning.
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