A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing digital reconstructions of neuronal morphology skeletons extracted from microscopy stacks.
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Updated
May 14, 2024 - Python
A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing digital reconstructions of neuronal morphology skeletons extracted from microscopy stacks.
Toolkit for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.
A python package for the topological analysis of neurons.
Detect morphological motifs, such as blebs, filopodia, and lamellipodia, from 3D images of surfaces, particularly images of cell surfaces.
Transform 3D cell surfaces into different representations including topographic maps, 3D spheres, and 2D images for doing optimized quantification, data analysis and machine learning.
Morphological analysis of Finnish language for Java
The Ancient Greek dictionary for Hunspell (grc_GR for Notepad++, Google Chrome, Vivaldi etc).
Finnish language analysis for Elasticsearch using Raudikko
The computational platform u-signal3D defines a shape-invariant representation of the spatial scales of molecular organization at the cell surface, enabling comparison and machine-learning of signaling across morphologically diverse cell populations.
A set of ImageJ plugins to quantify dynamics, morphology, and fluorescence of microglial cells.
Library for word declension
VAMPIRE (Visually Aided Morpho-Phenotyping Image Recognition) analysis quantifies and visualizes heterogeneity of cell and nucleus morphology.
Linguistics morphological analysis for russian words in Telegram
ImageJ macro for morphological analysis
morphological analysis tool: https://tiendil.github.io/morphologic/
Hello! We are an international group of students researching deep learning applications for Alzheimer's disease. We aim to introduce a better model for AD diagnosis. Our names are Fathimah Bajened, Akshat Bhaskar, Hugo Jal Hernández, Abdul Hadi, Brennan Lee, Basit Oliyide, Parth Parikh, Ravi Shah & Neelasha Sudarshan.
A Rule-Based System to Explain Grammatical Gender Assignment in German Nouns
Neural Machine Translation for Morphologically rich languages - Report
Experimental Data and Annotations for Master's Thesis as submitted to CUNI in July 2020
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