Students of the Medical Images Analysis Group defend their works

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Students of the Medical Images Analysis Group defend their works

In the last months, various students from the Medical Images Analysis Group have defended their works, which have been developed in the context of the FONDECYT 1161427 Project.

In the month of July, Andrea Vásquez, presented her Masters in Computer Science Thesis proposal, titled: “Efficient method for the clustering of brain fibers based on parallel algorithm on GPU”, codirected by professor Cecilia Hernández.

In the month of August, Narciso López defended his PhD in Computer Science Thesis proposal, titled: “Parcellation of the brain cortex from the segmentation of short fiber fascicles”.

Two students also defended their Biomedical Civil Engineering Thesis: Ignacio Espinoza, with his work “Virtual Reality Software for the 3D Exploration of the Brain”, and Daniela Pinto, with the topic “Segmentation of short Brain Fibers based on its form starting from Difussion Magnetic Resonance Imaging images”.

All of these works contribute with the objective of developing tools that allow for a more detailed study of the brain connectivity, both in healthy subjects, as in patients.

By | 2018-11-10T18:23:48-03:00 September 5th, 2018|Categories: FONDECYT 1161427 - News, News|0 Comments

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