Ramon Casanova

11 papers Misc 1Journal 10
YearRankTypeTitle / Venue / Authors
2024 J jnl
AESurv: autoencoder survival analysis for accurate early prediction of coronary heart disease.
Briefings Bioinform.
Yike Shen, Arce Domingo-Relloso, Allison Kupsco, Marianthi-Anna Kioumourtzoglou, Maria Tellez-Plaza, Jason G. Umans, Amanda M. Fretts, Ying Zhang, Peter F. Schnatz, Ramon Casanova, Lisa Warsinger Martin, Steve Horvath, JoAnn E. Manson, Shelley A Cole, Haotian Wu, Eric A Whitsel, Andrea A. Baccarelli, Ana Navas-Acien, Feng Gao
2022 J jnl
Are Machine Learning Models on Wrist Accelerometry Robust against Differences in Physical Performance among Older Adults?
Sensors
Chen Bai, Amal A. Wanigatunga, Santiago Saldana, Ramon Casanova, Todd M. Manini, Mamoun T. Mardini
2021 J jnl
Age Differences in Estimating Physical Activity by Wrist Accelerometry Using Machine Learning.
Sensors
Mamoun T. Mardini, Chen Bai, Amal A. Wanigatunga, Santiago Saldana, Ramon Casanova, Todd M. Manini
2021 J jnl
Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques.
Frontiers Neuroinformatics
Ramon Casanova, Robert G. Lyday, Mohsen Bahrami, Jonathan H. Burdette, Sean L. Simpson, Paul J. Laurienti
2020 Misc conf
Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning.
AMIA
Mamoun T. Mardini, Subhash Nerella, Amal A. Wanigatunga, Santiago Saldana, Ramon Casanova, Todd M. Manini
2020 J jnl
Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning.
CoRR
Mamoun T. Mardini, Subhash Nerella, Amal A. Wanigatunga, Santiago Saldana, Ramon Casanova, Todd M. Manini
2018 J jnl
Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases.
NeuroImage
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
2011 J jnl
High Dimensional Classification of Structural MRI Alzheimer's Disease Data Based on Large Scale Regularization.
Frontiers Neuroinformatics
Ramon Casanova, Christopher T. Whitlow, Benjamin C. Wagner, Jeff Williamson, Sally A. Shumaker, Joseph A. Maldjian, Mark A. Espeland
2008 J jnl
The impact of temporal regularization on estimates of the BOLD hemodynamic response function: A comparative analysis.
NeuroImage
Ramon Casanova, Srikanth Ryali, John T. Serences, Lucie Yang, Robert A. Kraft, Paul J. Laurienti, Joseph A. Maldjian
2007 J jnl
Biological parametric mapping: A statistical toolbox for multimodality brain image analysis.
NeuroImage
Ramon Casanova, Ryali Srikanth, Aaron H. Baer, Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka, Lynn Flowers, Frank Wood, Joseph A. Maldjian
2006 J jnl
Estimation of false discovery rates for wavelet-denoised statistical parametric maps.
NeuroImage
Srikanth Ryali, Ramon Casanova, Paul J. Laurienti, Ann M. Peiffer, Joseph A. Maldjian