Voxel-MARS: a method for early detection of Alzheimer's disease by classification of structural brain MRI

DOI10.1007/s10479-017-2405-7zbMath1383.92039OpenAlexW2584229446MaRDI QIDQ1699924

B. Murat Eyüboğlu, Alper Çevik, Kader Karlı Oğuz, Gerhard-Wilhelm Weber

Publication date: 26 February 2018

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-017-2405-7

zbMATH Keywords

pattern classificationimage analysisneuroscienceAlzheimer's diseaseoperational researchcomputer-aided diagnosis

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Related Items (10)

Mutual relevance of investor sentiment and finance by modeling coupled stochastic systems with MARS ⋮ Foundations of semialgebraic gene-environment networks ⋮ On the grey Baker-Thompson rule ⋮ Human resources optimization with Mars and ANN: innovation geolocation model for generation Z ⋮ New computational methods for classification problems in the existence of outliers based on conic quadratic optimization ⋮ The use of spatial data mining methods for modeling HR challenges of generation Z in greater Poland region ⋮ Robust multivariate adaptive regression splines under cross-polytope uncertainty: an application in a natural gas market ⋮ Long-term load forecasting: models based on MARS, ANN and LR methods ⋮ Vine copula graphical models in the construction of biological networks ⋮ Reconstruction of refractive index maps using photogrammetry

Uses Software

• CMARS
• ElemStatLearn

Cites Work

• CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization
• RCMARS: robustification of CMARS with different scenarios under polyhedral uncertainty set
• Efficient computer experiment-based optimization through variable selection
• Multivariate adaptive regression splines
• A bi-objective network design approach for discovering functional modules linking Golgi apparatus fragmentation and neuronal death

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