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

Linguistics morphological analysis for russian words in Telegram

VAMPIRE (Visually Aided Morpho-Phenotyping Image Recognition) analysis quantifies and visualizes heterogeneity of cell and nucleus morphology.

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 Hugo Jal Hernández, Ravi Shah, Parth Parik.

ImageJ macro for morphological analysis

morphological analysis tool: https://tiendil.github.io/morphologic/

A Rule-Based System to Explain Grammatical Gender Assignment in German Nouns

A rule-based morphological analyser for Tigre, written in Java.

Neural Machine Translation for Morphologically rich languages - Report

Experimental Data and Annotations for Master's Thesis as submitted to CUNI in July 2020