Ramon Casanova
According to our database1,
Ramon Casanova
authored at least 10 papers
between 2006 and 2024.
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Bibliography
2024
AESurv: autoencoder survival analysis for accurate early prediction of coronary heart disease.
Briefings Bioinform., 2024
2022
Are Machine Learning Models on Wrist Accelerometry Robust against Differences in Physical Performance among Older Adults?
Sensors, 2022
2021
Age Differences in Estimating Physical Activity by Wrist Accelerometry Using Machine Learning.
Sensors, 2021
Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques.
Frontiers Neuroinformatics, 2021
2020
Proceedings of the AMIA 2020, 2020
2018
Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases.
NeuroImage, 2018
2011
High Dimensional Classification of Structural MRI Alzheimer's Disease Data Based on Large Scale Regularization.
Frontiers Neuroinformatics, 2011
2008
The impact of temporal regularization on estimates of the BOLD hemodynamic response function: A comparative analysis.
NeuroImage, 2008
2007
Biological parametric mapping: A statistical toolbox for multimodality brain image analysis.
NeuroImage, 2007
2006
Estimation of false discovery rates for wavelet-denoised statistical parametric maps.
NeuroImage, 2006