Jaime Barranco - CIBM | Center for Biomedical Imaging Jaime Barranco - CIBM | Center for Biomedical Imaging

Jaime Barranco

Jaime Barranco

CIBM SP CHUV-UNIL Computational Neuroanatomy & Fetal Imaging Section

Jaime is a research staff scientist in the CIBM SP CHUV-UNIL Section, led by Prof. Meritxel Bach Cuadra. He received the MSc in Telecommunication engineering (MUIT) from the Universidad Politécnica de Madrid (UPM, Spain) in 2020, specializing in machine learning and multimedia data science. His Master’s thesis was related to segmentation of moving objects, where the goal was to find cases in which the most common objective metric f-score may not be adequate to evaluate the quality, and draw conclusions on developing a new metric that takes into account subjective evaluation.

After finishing his MSc, he started to work as software engineer in the Unity department, where he soon became co-leader, at NexPlayer, a video streaming company. There, he developed different wrappers connecting the native video players with the Unity layer, in order to be able to build applications for different OS platforms. In 2021, he obtained the Certified Widevine Implementation Partner (CWIP) from Google, which allows to install and configure Digital Rights Management (DRM) protection systems for clients.

Jaime’s current research focuses on biomedical image processing, machine and deep learning techniques, and web-platform implementation. The “A-eye” project, funded by the Gelbert Foundation, aims at a breakthrough towards AI-system for the assessment of Magnetic Resonance Imaging of the eye. The automated analysis of eye structures would establish the basis to study how different structures degenerate during disease, or in the field of personalized medicine, to build up targeted and accurate surgery plans. The project is led under the supervision of Dr. Bach Cuadra (CIBM SP CHUV-UNIL section) and Prof B. Franceschiello (HES-SO Valais-Wallis) and in collaboration with Sönke Langner and Oliver Stachs, experts in eye MR microscopy and ophthalmology at Rostock University Medical Center, Germany, and Prof. Raphael Sznitman (ARTORG Center & Center for Artificial Intelligence in Medicine, Insepital, Bern).

Keywords: Medical Image Analysis, MRI, 3D Segmentation, Deep Learning, Web, Software Engineering