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Ramon Casanova
2020 – today
- 2024
- [j9]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:
AESurv: autoencoder survival analysis for accurate early prediction of coronary heart disease. Briefings Bioinform. 25(6) (2024) - 2022
- [j8]Chen Bai, Amal A. Wanigatunga, Santiago Saldana, Ramon Casanova, Todd M. Manini, Mamoun T. Mardini:
Are Machine Learning Models on Wrist Accelerometry Robust against Differences in Physical Performance among Older Adults? Sensors 22(8): 3061 (2022) - 2021
- [j7]Ramon Casanova, Robert G. Lyday, Mohsen Bahrami, Jonathan H. Burdette, Sean L. Simpson, Paul J. Laurienti:
Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques. Frontiers Neuroinformatics 15: 740143 (2021) - [j6]Mamoun T. Mardini, Chen Bai, Amal A. Wanigatunga, Santiago Saldana, Ramon Casanova, Todd M. Manini:
Age Differences in Estimating Physical Activity by Wrist Accelerometry Using Machine Learning. Sensors 21(10): 3352 (2021) - 2020
- [c1]Mamoun T. Mardini, Subhash Nerella, Amal A. Wanigatunga, Santiago Saldana, Ramon Casanova, Todd M. Manini:
Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning. AMIA 2020 - [i1]Mamoun T. Mardini, Subhash Nerella, Amal A. Wanigatunga, Santiago Saldana, Ramon Casanova, Todd M. Manini:
Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning. CoRR abs/2007.13114 (2020)
2010 – 2019
- 2018
- [j5]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:
Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases. NeuroImage 183: 401-411 (2018) - 2011
- [j4]Ramon Casanova, Christopher T. Whitlow, Benjamin C. Wagner, Jeff Williamson, Sally A. Shumaker, Joseph A. Maldjian, Mark A. Espeland:
High Dimensional Classification of Structural MRI Alzheimer's Disease Data Based on Large Scale Regularization. Frontiers Neuroinformatics 5: 22 (2011)
2000 – 2009
- 2008
- [j3]Ramon Casanova, Srikanth Ryali, John T. Serences, Lucie Yang, Robert A. Kraft, Paul J. Laurienti, Joseph A. Maldjian:
The impact of temporal regularization on estimates of the BOLD hemodynamic response function: A comparative analysis. NeuroImage 40(4): 1606-1618 (2008) - 2007
- [j2]Ramon Casanova, Ryali Srikanth, Aaron H. Baer, Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka, Lynn Flowers, Frank Wood, Joseph A. Maldjian:
Biological parametric mapping: A statistical toolbox for multimodality brain image analysis. NeuroImage 34(1): 137-143 (2007) - 2006
- [j1]Srikanth Ryali, Ramon Casanova, Paul J. Laurienti, Ann M. Peiffer, Joseph A. Maldjian:
Estimation of false discovery rates for wavelet-denoised statistical parametric maps. NeuroImage 33(1): 72-84 (2006)
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last updated on 2024-12-02 21:25 CET by the dblp team
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