output
20162021
most citedConvolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

821 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2018Show all

3 papers · 1 filter

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…

q-bio.QM2018

Converting Alzheimer s disease map into a heavyweight ontology: a formal network to integrate data

Vincent Henry, Ivan Moszer, Olivier Dameron +3

Alzheimer s disease (AD) pathophysiology is still imperfectly understood and current paradigms have not led to curative outcome. Omics technologies offer great promises for improvi…

q-bio.NC2018★ 44 cited

Network neuroscience for optimizing brain-computer interfaces

Fabrizio De Vico Fallani, Danielle S. Bassett

Human-machine interactions are being increasingly explored to create alternative ways of communication and to improve our daily life. Based on a classification of the user's intent…