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.

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3 papers · 1 filter

cs.LG2020

Gaussian Graphical Model exploration and selection in high dimension low sample size setting

Thomas Lartigue, Simona Bottani, Stephanie Baron +3

Gaussian Graphical Models (GGM) are often used to describe the conditional correlations between the components of a random vector. In this article, we compare two families of GGM i…

cs.LG2019★ 821 cited

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

Junhao Wen, Elina Thibeau-Sutre, Mauricio Diaz-Melo +7

Over 30 papers have proposed to use convolutional neural network (CNN) for AD classification from anatomical MRI. However, the classification performance is difficult to compare ac…

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…