Project Title | Student Name | Project Type | Period |
---|---|---|---|
Quantification of lung abnormalities in cystic fibrosis using deep networks | Filipe Marques | Master Project | 02/2017 - 07/2017 |
Deep learning for the detection of cerebral microbleeds | Pauline Dame | Master Project | 06/2017 – 08/2017 |
Deep learning for the segmentation of colorectal liver metastasis | Florian Calvet | Master Thesis | 04/2018 – 10/2018 |
Detecting perivascular spaces: a geodesic deep learning approach | Kim van Wijnen | Master Thesis - Cum Laude | 04/2018 – 10/2018 |
Segmentation of white matter hyperintensities with multi-dimensional gated recurrent units | Robin Camarasa | Master Project | 06/2018 – 08/2018 |
Segmentation of white matter hyperintensities with multi-dimensional gated recurrent units | Corentin Doué | Master Project | 06/2018 – 08/2018 |
Optimization of Regression Neural Networks | Nicolas Posocco | Master Project | 04/2019 - 09/2019 |