In established multiple sclerosis, tissue abnormality-as assessed using magnetization transfer ratio-increases close to the lateral ventricles. We aimed to determine whether or not (i) these changes are present from the earliest clinical stages of multiple sclerosis; (ii) they occur independent of white matter lesions; and (iii) they are...
-
2017 (v1)PublicationAn abnormal periventricular magnetization transfer ratio gradient occurs early in multiple sclerosisUploaded on: April 14, 2023
-
October 13, 2019 (v1)Conference paper
International audience
Uploaded on: December 4, 2022 -
February 2021 (v1)Journal article
Albeit spectral-domain OCT (SDOCT) is now in clinical use for glaucoma management, published clinical trials relied on time-domain OCT (TDOCT) which is characterized by low signal-to-noise ratio, leading to low statistical power. For this reason, such trials require large numbers of patients observed over long intervals and become more costly....
Uploaded on: December 4, 2022 -
2016 (v1)Publication
Objective To assess the association between proximity to the inner (ventricular and aqueductal) and outer (pial) surfaces of the brain and the distribution of normal appearing white matter (NAWM) and grey matter (GM) abnormalities, and white matter (WM) lesions, in multiple sclerosis (MS). Methods 67 people with relapse-onset MS and 30 healthy...
Uploaded on: April 14, 2023 -
October 8, 2023 (v1)Conference paper
Machine Unlearning (MU) is an emerging discipline studying methods to remove the effect of a data instance on the parameters of a trained model. Federated Unlearning (FU) extends MU to unlearn the contribution of a dataset provided by a client wishing to drop from a federated learning study. Due to the emerging nature of FU, a practical...
Uploaded on: January 31, 2024 -
September 2023 (v1)Conference paper
Healthcare data is often split into medium/small-sized collections across multiple hospitals and access to it is encumbered by privacy regulations. This brings difficulties to use them for the development of machine learning and deep learning models, which are known to be data-hungry. One way to overcome this limitation is to use collaborative...
Uploaded on: December 25, 2023 -
May 2021 (v1)Journal article
PurposeTo establish whether deep learning methods are able to improve the signal-to-noise ratio of time-domain (TD) OCT images to approach that of spectral-domain (SD) OCT images.DesignMethod agreement study and progression detection in a randomized, double-masked, placebo-controlled, multicenter trial for open-angle glaucoma (OAG), the United...
Uploaded on: December 4, 2022