Ramon Casanova

According to our database, Ramon Casanova authored at least 9 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Are Machine Learning Models on Wrist Accelerometry Robust against Differences in Physical Performance among Older Adults?

Chen Bai, Amal A. Wanigatunga, Santiago Saldana, Ramon Casanova, Todd M. Manini, Mamoun T. Mardini

Sensors, 2022

2021

Age Differences in Estimating Physical Activity by Wrist Accelerometry Using Machine Learning.

Mamoun T. Mardini, Chen Bai, Amal A. Wanigatunga, Santiago Saldana, Ramon Casanova, Todd M. Manini

Sensors, 2021

Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques.

Ramon Casanova, Robert G. Lyday, Mohsen Bahrami, Jonathan H. Burdette, Sean L. Simpson, Paul J. Laurienti

Frontiers Neuroinformatics, 2021

2020

Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning.

Mamoun T. Mardini, Subhash Nerella, Amal A. Wanigatunga, Santiago Saldana, Ramon Casanova, Todd M. Manini

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.

Ramon Casanova, Ryan T. Barnard, Sarah A. Gaussoin, Santiago Saldana, Kathleen M. Hayden, JoAnn E. Manson, Robert B. Wallace, Stephen R. Rapp, Susan M. Resnick, Mark A. Espeland, Jiu-Chiuan Chen

NeuroImage, 2018

2011

High Dimensional Classification of Structural MRI Alzheimer's Disease Data Based on Large Scale Regularization.

Ramon Casanova, Christopher T. Whitlow, Benjamin C. Wagner, Jeff Williamson, Sally A. Shumaker, Joseph A. Maldjian, Mark A. Espeland

Frontiers Neuroinformatics, 2011

2008

The impact of temporal regularization on estimates of the BOLD hemodynamic response function: A comparative analysis.

Ramon Casanova, Srikanth Ryali, John T. Serences, Lucie Yang, Robert A. Kraft, Paul J. Laurienti, Joseph A. Maldjian

NeuroImage, 2008

2007

Biological parametric mapping: A statistical toolbox for multimodality brain image analysis.

Ramon Casanova, Ryali Srikanth, Aaron H. Baer, Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka, Lynn Flowers, Frank Wood, Joseph A. Maldjian

NeuroImage, 2007

2006

Estimation of false discovery rates for wavelet-denoised statistical parametric maps.

Srikanth Ryali, Ramon Casanova, Paul J. Laurienti, Ann M. Peiffer, Joseph A. Maldjian

NeuroImage, 2006