Search Results - "RIOS, Richard"

Machine Learning Adds to Clinical and CAC Assessments in Predicting 10-Year CHD and CVD Deaths by Nakanishi, Rine, Slomka, Piotr J., Rios, Richard, Betancur, Julian, Blaha, Michael J., Nasir, Khurram, Miedema, Michael D., Rumberger, John A., Gransar, Heidi, Shaw, Leslee J., Rozanski, Alan, Budoff, Matthew J., Berman, Daniel S.

“…The aim of this study was to evaluate whether machine learning (ML) of noncontrast computed tomographic (CT) and clinical variables improves the prediction of…”
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Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry by Rios, Richard, Miller, Robert J H, Hu, Lien Hsin, Otaki, Yuka, Singh, Ananya, Diniz, Marcio, Sharir, Tali, Einstein, Andrew J, Fish, Mathews B, Ruddy, Terrence D, Kaufmann, Philipp A, Sinusas, Albert J, Miller, Edward J, Bateman, Timothy M, Dorbala, Sharmila, DiCarli, Marcelo, Van Kriekinge, Serge, Kavanagh, Paul, Parekh, Tejas, Liang, Joanna X, Dey, Damini, Berman, Daniel S, Slomka, Piotr

“…Abstract Aims Optimal risk stratification with machine learning (ML) from myocardial perfusion imaging (MPI) includes both clinical and imaging data. While…”
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Capturing Multidimensional Energy Poverty in South America: A Comparative Study of Argentina, Brazil, Uruguay, and Paraguay by Pereira, Gabriel, González, Arturo, Ríos, Richard

“…Roughly 789 million people have no access to energy, and around 2.8 billion people lack access to clean cooking solutions according to the World Bank, and so…”
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Population model of bladder motion and deformation based on dominant eigenmodes and mixed-effects models in prostate cancer radiotherapy by Rios, Richard, De Crevoisier, Renaud, Ospina, Juan D., Commandeur, Frederic, Lafond, Caroline, Simon, Antoine, Haigron, Pascal, Espinosa, Jairo, Acosta, Oscar

“…•We propose a population model to estimate the probability of the bladder presence on a given region during treatment using only the planning CT scan as input…”
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A Multistate Outbreak of Escherichia coli O157:H7 Infection Linked to Consumption of Beef Tacos at a Fast-Food Restaurant Chain by Jay, Michele T., Garrett, Valerie, Mohle-Boetani, Janet C., Barros, Myra, Farrar, Jeff A., Rios, Richard, Abbott, Sharon, Sowadsky, Rick, Komatsu, Ken, Mandrell, Robert, Sobel, Jeremy, Werner, S. Benson

“…We investigated a multistate outbreak of Escherichia coli O157:H7 infections. Isolates from 13 case patients from California, Nevada, and Arizona were matched…”
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Beauveria bassiana and Metarhizium anisopliae as compatible and efficient controllers of plague insects in aquaponic crops by Ríos, Richard, Vargas-Flores, Jessy, Sánchez-Choy, José, Oliva-Paredes, Ricardo, Alarcón-Castillo, Teresa, Villegas, Pablo

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Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT by Hu, Lien-Hsin, Miller, Robert J H, Sharir, Tali, Commandeur, Frederic, Rios, Richard, Einstein, Andrew J, Fish, Mathews B, Ruddy, Terrence D, Kaufmann, Philipp A, Sinusas, Albert J, Miller, Edward J, Bateman, Timothy M, Dorbala, Sharmila, Di Carli, Marcelo, Liang, Joanna X, Eisenberg, Evann, Dey, Damini, Berman, Daniel S, Slomka, Piotr J

“…Abstract Aims Single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) stress-only protocols reduce radiation exposure and cost…”
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Educación física y niños con síndrome de down: estrategias metodológicas para la labor docente by Picos-Salas, Macarena Giselle, Canon-Buitrago, Edwin Alexander, Rios-Cruz, Richard David, Brun Lomado, Micaela

“…Este estudio tuvo como objetivo comprender la forma como el profesional de Educación Física moviliza estrategias metodológicas para desarrollar su accionar…”
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SEX DIFFERENCES IN QUANTITATIVE COMPUTED TOMOGRAPHY CORONARY PLAQUE CHARACTERIZATION AND FRACTIONAL FLOW RESERVE: SUBSTUDY OF THE PACIFIC TRIAL by Han, Donghee, Van Diemen, Pepijn, Kuronuma, Keiichiro, Lin, Andrew, McElhinney, Priscilla, Tomasino, Guadalupe Flores, Park, Caroline, Otaki, Yuka, Kwan, Alan, Tzolos, Evangelos, Klein, Eyal, Grodecki, Kajetan, Shou, Benjamin, Rios, Richard, Manral, Nipun, Cadet, Sebastien, Danad, Ibrahim, Driessen, Roel, Berman, Daniel S., Slomka, Piotr, Dey, Damini, Knaapen, Paul

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ASSOCIATION BETWEEN VASCULAR INFLAMMATION BY PERICORONARY ADIPOSETISSUE ATTENUATION FROM CORONARY COMPUTED TOMOGRAPHY ANGIOGRAPHY AND MYOCARDIAL BLOOD FLOW USING POSITRON EMISSION TOMOGRAPHY by Kuronuma, Keiichiro, Van Diemen, Pepijn, Han, Donghee, Lin, Andrew, McElhinney, Priscilla, Tomasino, Guadalupe Flores, Park, Caroline, Otaki, Yuka, Kwan, Alan, Tzolos, Evangelos, Klein, Eyal, Grodecki, Kajetan, Shou, Benjamin, Rios, Richard, Manral, Nipun, Cadet, Sebastien, Danad, Ibrahim, Driessen, Roel, Berman, Daniel S., Slomka, Piotr, Dey, Damini, Knaapen, Paul

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Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve–Defined Ischemia and Impaired Myocardial Blood Flow by Lin, Andrew, van Diemen, Pepijn A., Motwani, Manish, McElhinney, Priscilla, Otaki, Yuka, Han, Donghee, Kwan, Alan, Tzolos, Evangelos, Klein, Eyal, Kuronuma, Keiichiro, Grodecki, Kajetan, Shou, Benjamin, Rios, Richard, Manral, Nipun, Cadet, Sebastien, Danad, Ibrahim, Driessen, Roel S., Berman, Daniel S., Nørgaard, Bjarne L., Slomka, Piotr J., Knaapen, Paul, Dey, Damini

“…A pathophysiological interplay exists between plaque morphology and coronary physiology. Machine learning (ML) is increasingly being applied to coronary…”
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Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT by Eisenberg, Evann, Miller, Robert J.H., Hu, Lien-Hsin, Rios, Richard, Betancur, Julian, Azadani, Peyman, Han, Donghee, Sharir, Tali, Einstein, Andrew J., Bokhari, Sabahat, Fish, Mathews B., Ruddy, Terrence D., Kaufmann, Philipp A., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Dorbala, Sharmila, Di Carli, Marcelo, Liang, Joanna X., Otaki, Yuka, Tamarappoo, Balaji K., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

“…Stress-only myocardial perfusion imaging (MPI) markedly reduces radiation dose, scanning time, and cost. We developed an automated clinical algorithm to safely…”
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Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry by Rios, Richard, Miller, Robert J.H., Manral, Nipun, Sharir, Tali, Einstein, Andrew J., Fish, Mathews B., Ruddy, Terrence D., Kaufmann, Philipp A., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Dorbala, Sharmila, Di Carli, Marcelo, Van Kriekinge, Serge D., Kavanagh, Paul B., Parekh, Tejas, Liang, Joanna X., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

“…Machine learning (ML) models can improve prediction of major adverse cardiovascular events (MACE), but in clinical practice some values may be missing. We…”
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Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve–Defined Ischemia and Impaired Myocardial Blood Flow by Lin, Andrew, van Diemen, Pepijn A., Motwani, Manish, McElhinney, Priscilla, Otaki, Yuka, Han, Donghee, Kwan, Alan, Tzolos, Evangelos, Klein, Eyal, Kuronuma, Keiichiro, Grodecki, Kajetan, Shou, Benjamin, Rios, Richard, Manral, Nipun, Cadet, Sebastien, Danad, Ibrahim, Driessen, Roel S., Berman, Daniel S., Nørgaard, Bjarne L., Slomka, Piotr J., Knaapen, Paul, Dey, Damini

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Machine learning from quantitative coronary CT angiography predicts FFR-defined ischemia and impaired myocardial blood flow by Lin, Andrew, van Diemen, Pepijn A., Motwani, Manish, McElhinney, Priscilla, Otaki, Yuka, Han, Donghee, Kwan, Alan, Tzolos, Evangelos, Klein, Eyal, Kuronuma, Keiichiro, Grodecki, Kajetan, Shou, Benjamin, Rios, Richard, Manral, Nipun, Cadet, Sebastien, Danad, Ibrahim, Driessen, Roel S., Berman, Daniel S., Nørgaard, Bjarne L., Slomka, Piotr J., Knaapen, Paul, Dey, Damini

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Non-linear state space model and control strategy for pem fuel cell systems by Espinosa Oviedo, Jairo J, Ríos Patiño, Richard, Ramos Paja, Carlos Andres

“…This paper presents a non linear state space model and a linear control system for a Polymer Electrolyte Membrane fuel cell. The dynamics modeled are the…”
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Sistema de control para reducir el consumo de hidrógeno en celdas de combustible PEM considerando incertidumbres paramétricas by Richard Rios, Carlos A. Ramos-Paja, Jairo J. Espinosa

“…This paper presents a control system for reducing the hydrogen consumption for a Polymer Electrolyte Membrane fuel cell, also considering parametric…”
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A tensor-based population value decomposition to explain rectal toxicity after prostate cancer radiotherapy by Ospina, Juan David, Commandeur, Frédéric, Ríos, Richard, Dréan, Gaël, Correa, Juan Carlos, Simon, Antoine, Haigron, Pascal, de Crevoisier, Renaud, Acosta, Oscar

“…In prostate cancer radiotherapy the association between the dose distribution and the occurrence of undesirable side-effects is yet to be revealed. In this…”
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An approach to identify strategies to be taken into account when revising ITAIPU Annex C by Ortigoza, Eduardo, Rios, Richard, Oxilia, Victorio

“…Paraguay and Brazil - partner countries of the second largest hydroelectric power plant in the world (ITAIPU) - are currently in the preparation phase to…”
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The electric vehicle transition and the challenge of electric mobility in Paraguay by Pereira, Gabriel, Gonzalez, Arturo, Rios, Richard

“…Paraguay is characterized by its clean and renewable energy generation, being one of the largest per capita hydropower producers in the world. Paradoxically,…”
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