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Alvaro Ulloa

Showing results (1-10 of 9) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
A quasi-local method for instantaneous frequency estimation with application to structural magnetic resonance imagesAlvaro Ulloa, Paul Rodriguez, Jingyu Liu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Detecting volumetric changes in fMRI connectivity networks in schizophrenia patientsMohammad R Arbabshirani, Marios S Pattichis, Alvaro Ulloa, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Three-way parallel independent component analysis for imaging genetics using multi-objective optimizationAlvaro Ulloa, Jingyu Liu, Victor Vergara, et al.
Molecular Pharmaceutics|May 21, 2016
Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic DataAlexander Aliper, Sergey Plis, Artem Artemov, et al.
Neuroimage|May 6, 2014
A three-way parallel ICA approach to analyze links among genetics, brain structure and brain functionVictor M Vergara, Alvaro Ulloa, Vince D Calhoun, et al.
Plos One|January 4, 2013
A pilot study on collective effects of 22q13.31 deletions on gray matter concentration in schizophreniaJingyu Liu, Alvaro Ulloa, Nora Perrone-Bizzozero, et al.
BMC Medical Informatics and Decision Making|May 14, 2021
OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortalityYasser El-Manzalawy, Mostafa Abbas, Ian Hoaglund, et al.
Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society|May 17, 2019
Quantitative EEG Biomarkers for Mild Traumatic Brain InjuryJeffrey D Lewine, Sergey Plis, Alvaro Ulloa, et al.
JACC. Cardiovascular Imaging|June 18, 2018
Predicting Survival From Large Echocardiography and Electronic Health Record Datasets: Optimization With Machine LearningManar D Samad, Alvaro Ulloa, Gregory J Wehner, et al.
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Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
A quasi-local method for instantaneous frequency estimation with application to structural magnetic resonance imagesAlvaro Ulloa, Paul Rodriguez, Jingyu Liu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Detecting volumetric changes in fMRI connectivity networks in schizophrenia patientsMohammad R Arbabshirani, Marios S Pattichis, Alvaro Ulloa, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Three-way parallel independent component analysis for imaging genetics using multi-objective optimizationAlvaro Ulloa, Jingyu Liu, Victor Vergara, et al.
Molecular Pharmaceutics|May 21, 2016
Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic DataAlexander Aliper, Sergey Plis, Artem Artemov, et al.
Neuroimage|May 6, 2014
A three-way parallel ICA approach to analyze links among genetics, brain structure and brain functionVictor M Vergara, Alvaro Ulloa, Vince D Calhoun, et al.
Plos One|January 4, 2013
A pilot study on collective effects of 22q13.31 deletions on gray matter concentration in schizophreniaJingyu Liu, Alvaro Ulloa, Nora Perrone-Bizzozero, et al.
BMC Medical Informatics and Decision Making|May 14, 2021
OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortalityYasser El-Manzalawy, Mostafa Abbas, Ian Hoaglund, et al.
Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society|May 17, 2019
Quantitative EEG Biomarkers for Mild Traumatic Brain InjuryJeffrey D Lewine, Sergey Plis, Alvaro Ulloa, et al.
JACC. Cardiovascular Imaging|June 18, 2018
Predicting Survival From Large Echocardiography and Electronic Health Record Datasets: Optimization With Machine LearningManar D Samad, Alvaro Ulloa, Gregory J Wehner, et al.
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