GSOC 2022 announced

The Belgian Neuroinformatics node will participate with two project ideas announced on   GSoC 2022 Project Idea 18.2: High content image feature and classification database – 350 h and GSoC 2022 Project Idea 18.1: Deep Learning using Geometric Features – 175 h The proposals should be submitted by 19 April. The full timeline is… Read more »

Projects for GSOC 2021

The Belgian Node is pleased to announce that 2 projects – one about Active Segmentation and one about neuroimaging were selected for support by GSOC 2021. Piyumal Demotte will develop Input/Out Workflows for Active Segmentation Platform. Pranav Mahajan will develop A Python toolbox for computing high-order information in neuroimaging.

GSOC 2019 Project Ideas

The Belgian Neuroinformatics Node participates in GSOC 2019 with INCF. Follow us on Project ideas postings: GSoC Project Idea 11: Cell Tracking using Geometrical Features The Virtual Brain (TVB) Edu Pack for clinical case studies reports GSoC Project Idea 17: Maxima to Python translator There are also pages on the node’s website:

GSOC 2018 completed sucesfully

This year the Belgian INCF  Node proposed two projects under the Google Summer of Code 2018. Weare  happy to announce that the GSOC project Modular Machine Learning and Classification Toolbox for ImageJ (3rd iteration ) by Sanjeev Dubej was successfully completed! The project incorporated Legendre image moments and texture descriptors for the purposes of classification of different… Read more »

GSOC Mid term evaluation

All except one of the GSOC projects passed successfully the mdi-term evaluation in the Google Summer of Code program.   The Active Segmentation plugin in addition was presented on the INCF booth at FENS in Berlin . The schedule can be found here:  

GSOC 2018 participation

The Belgian node will support the development of three Google Summer of Code projects in 2018. Student developers Sanjeev Dubey   Modular Machine Learning and Classification Toolbox for ImageJ ImageJ is an open source Image Processing library written in Java which is being extensively used by people working in Life and Material sciences. ImageJ supports various… Read more »

GSOC 2017 completed

The  GSOC 2017 was successfully completed by  Mukesh Gupta.  The aim of the project was to provide the general purpose environment that allows biologists and other domain experts to use  state-of-the-art techniques in machine learning to improve   segmentation of objects in different types of images.  The project was completed under the supervision of  Dimiter Prodanov  (Belgian INCF Node  Fellow)… Read more »