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

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

20 August 2018
J. Samper-González
Ninon Burgos
Simona Bottani
S. Fontanella
Pascal Lu
Arnaud Marcoux
A. Routier
J. Guillon
Michael Bacci
Junhao Wen
A. Bertrand
H. Bertin
M. Habert
S. Durrleman
Theodoros Evgeniou
O. Colliot
ArXiv (abs)PDFHTML

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

3 / 3 papers shown
Title
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts
Lisa Hemforth
B. Couvy-Duchesne
Kevin de Matos
Camille Brianceau
Matthieu Joulot
...
V. Frouin
Alexandre Martin
IMAGEN study group
C. Cury
O. Colliot
67
1
0
05 Aug 2024
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis
  of Alzheimer's Disease using structural MR and FDG-PET images
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images
Donghuan Lu
K. Popuri
G. Ding
R. Balachandar
M. Beg
MedIm
43
317
0
13 Oct 2017
Assessing and tuning brain decoders: cross-validation, caveats, and
  guidelines
Assessing and tuning brain decoders: cross-validation, caveats, and guidelines
Gaël Varoquaux
Pradeep Reddy Raamana
Denis A. Engemann
Andrés Hoyos-Idrobo
Y. Schwartz
Bertrand Thirion
34
640
0
16 Jun 2016
1