The Belgian node will support the development of three Google Summer of Code projects in 2018.
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
application softwares through plugins. The Active Segmentation plugin provides a
general-purpose environment that allows biologists and other domain experts to use
transparently state-of-the-art techniques in machine learning to improve their image
Building a portable open pipeline to detect the hemodynamic response function at rest
Most of the currently used data is task-based fMRI data i.e. the data acquired when the subject performs an explicit task (such as finger-tapping). It is clear however, that the brain is active even when the subject is not performing a task. In fact, according to certain estimates, task-related changes in neuronal metabolism only account for about 5% of the brain’s total energy consumption. Resting state fMRI is a comparatively newer approach used to identify synchronous BOLD changes in multiple brain regions while the subjects lie comfortably in the scanner without performing a task. The correlations between spontaneous BOLD signals can be used to study intrinsic functional connectivity. The analysis is also useful in situations where it is advantageous to explore the brain’s functional organization in neurological or psychiatric diseases. INCF currently has a tool to retrieve the hemodynamic response function at rest from resting state fMRI, however, the code is currently written in MATLAB. In order to increase its diffusion and portability, the repository has to be converted to Python and follow the BIDS – Standards to eventually create the portable neuroimaging pipeline.