Delphine Ribes
Delphine Ribes Lemay, Head of Creative Coding at EPFL+ECAL Lab, is an electrical engineer and originally specialized in medical image processing.
She leads the software and Artificial Intelligence approach on EPFL+ECAL Lab’s research projects. She is also responsible for the medical and healthcare research at the lab.
Besides her research activities, she is a lecturer at EPFL+ECAL Lab where she teaches machine learning and creative coding on the MAS. At EPFL, she gives courses where she shares her experiences in working in pluridisciplinary and start-up environments.
Related projects
Scientific publications
Open Books: Supporting the Comprehension of Photobooks as Sequential Art.
Rémi Opalinski, Sebastian Baez-Lugo, Andrea Schneider, Delphine Ribes, Gabriel Luthier, Cédric Duchêne, Béatrice Durandard, Mathieu Salzmann, Nicolas Henchoz, and Romain Collaud. 2026. Open Books: Supporting the Comprehension of Photobooks as Sequential Art. In: Rauterberg, M. (eds) Culture and Computing. HCII 2026. Lecture Notes in Computer Science, vol 16725. Springer, Cham.
A comparative study of deep learning for cortical lesion MRI segmentation with explainability analysis in multiple sclerosis.
Nataliia Molchanova, Alessandro Cagol, Mario Ocampo–Pineda, Po–Jui Lu, Matthias Weigel, Xinjie Chen, Erin S. Beck, Charidimos Tsagkas, Daniel S. Reich, Colin Vanden Bulcke, Anna Stölting, Serena Borrelli, Pietro Maggi, Sebastian Baez Lugo, Delphine Ribes, Adrien Depeursinge, Cristina Granziera, Henning Müller, Pedro M. Gordaliza, Meritxell Bach Cuadra. (2026). A comparative study of deep learning for cortical lesion MRI segmentation with explainability analysis in multiple sclerosis. NeuroImage: Clinical, 104007.
NeuroImage: Clinical