activity
20172021
most citedReproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data

181 citations · 221 across the 4 of their papers we have counts for

collaborators

4 papers

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.QM2018★ 9 cited

Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease

Junhao Wen, Jorge Samper-Gonzalez, Simona Bottani +8

Diffusion MRI is the modality of choice to study alterations of white matter. In past years, various works have used diffusion MRI for automatic classification of AD. However, clas…

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…