activity
20172022
most citedReproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data

181 citations · 276 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.NC2022★ 22 cited

Isolated parkinsonism is an atypical presentation of GRN and C9orf72 gene mutations

Fábio Carneiro, Dario Saracino, Vincent Huin +17

Introduction: A phenotype of isolated parkinsonism mimicking Idiopathic Parkinson's Disease (IPD) is a rare clinical presentation of GRN and C9orf72 mutations, the major genetic ca…

q-bio.QM2021★ 16 cited

Clinica: an open source software platform for reproducible clinical neuroscience studies

Alexandre Routier, Ninon Burgos, Mauricio Díaz +21

We present Clinica (www.clinica.run), an open-source software platform designed to make clinical neuroscience studies easier and more reproducible. Clinica aims for researchers to…

q-bio.NC2018★ 38 cited

Neural correlates of episodic memory in the Memento cohort

Stéphane Epelbaum, Vincent Bouteloup, Jean Mangin +22

IntroductionThe free and cued selective reminding test is used to identify memory deficits in mild cognitive impairment and demented patients. It allows assessing three processes:…

q-bio.NC2018★ 4 cited

COGEVIS: A New Scale to Evaluate Cognition in Patients with Visual Deficiency

Claire Meyniel, Dalila Samri, Farah Stefano +9

We evaluated the cognitive status of visually impaired patients referred to low vision rehabilitation (LVR) based on a standard cognitive battery and a new evaluation tool, named t…

cs.LG2018★ 181 cited

Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data

Jorge Samper-González, Ninon Burgos, Simona Bottani +13

A large number of papers have introduced novel machine learning and feature extraction methods for automatic classification of AD. However, they are difficult to reproduce because…

stat.ML2017★ 15 cited

Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease

Jorge Samper-González, Ninon Burgos, Sabrina Fontanella +5

In recent years, the number of papers on Alzheimer's disease classification has increased dramatically, generating interesting methodological ideas on the use machine learning and…