A glimpse of ClinicaDL, an open-source software for reproducible deep learning in neuroimaging
Elina Thibeau-Sutre, Mauricio Díaz, Ravi Hassanaly, Olivier Colliot, Ninon Burgos
This paper presents ClinicaDL, a deep learning software for neuroimaging processing. Its aim is to provide a concrete solution to methodological flaws often found in our field (the difficult use of neuroimaging data sets, data leakage and insufficient reproducibility), but also to raise awareness and discuss these issues with our community. The corresponding journal paper was recently accepted in Computer Methods and Programs in Biomedicine.
Wednesday 6th July
Poster Session 1.2 - onsite 11:00 - 12:00, virtual 15:20 - 16:20 (UTC+2)