Silica–alginate‐encapsulated bacteria to enhance malolactic fermentation performance in a stressful environment von Simo, G, Fernandez-Fernandez, E, Vila-Crespo, J, Ruiperez, V, Rodriguez-Nogales, JM

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Malolactic fermentation induced by silica‐alginate encapsulated Oenococcus oeni with different inoculation regimes von Simó, G., Fernández‐Fernández, E., Vila‐Crespo, J., Ruipérez, V., Rodríguez‐Nogales, J.M.

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Silica-alginate-encapsulated bacteria to enhance malolactic fermentation performance in a stressful environment: Encapsulated bacteria for extreme winemaking von Simó, G., Fernández-Fernández, E., Vila-Crespo, J., Ruipérez, V., Rodríguez-Nogales, J.M.

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La fertilidad hoy: enfoque naturista von Ruipérez, Virginia

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Lightweight masonry mortars made with expanded clay and recycled aggregates von Muñoz-Ruiperez, C., Rodríguez, A., Gutiérrez-González, S., Calderón, V.

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The AMPA receptor-associated protein Shisa7 regulates hippocampal synaptic function and contextual memory von Schmitz, Leanne J M, Klaassen, Remco V, Ruiperez-Alonso, Marta, Zamri, Azra Elia, Stroeder, Jasper, Rao-Ruiz, Priyanka, Lodder, Johannes C, van der Loo, Rolinka J, Mansvelder, Huib D, Smit, August B, Spijker, Sabine

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Durability of lightweight concrete made concurrently with waste aggregates and expanded clay von Muñoz‐Ruiperez, Carmelo, Rodríguez, Ángel, Junco, Carlos, Fiol, Francisco, Calderon, Verónica

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DH-482888-005 MULTIMODAL EXPLAINABLE ARTIFICIAL INTELLIGENCE IDENTIFIES PATIENTS WITH NON-ISCHAEMIC CARDIOMYOPATHY AT RISK OF LETHAL VENTRICULAR ARRHYTHMIAS von Kolk, Maarten, Ruiperez-Campillo, Samuel, Knops, Reinoud, Narayan, Sanjiv M., Tjong, Fleur V.

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PO-03-097 DEFINING ELECTRODE CONFIGURATION FOR MAPPING MICROANATOMIC REENTRIES SUSTAINING ATRIAL FIBRILLATION von Rodrigo, Miguel, Ganesan, Prasanth, Feng, Ruibin, Ruiperez-Campillo, Samuel, Narayan, Sanjiv M., Fedorov, Vadim V.

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Clinical phenotyping of implantable cardioverter defibrillator patients to identify the association of remote device monitoring on survival benefit: a cluster analysis von Kolk, M Z H, Deb, B, Ruiperez-Campillo, S, Narayan, S M, Knops, R E, Tjong, F V Y

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Predicting success of atrial fibrillation ablation: comparing machine learning approaches of intracardiac electrograms von Feng, R, Ganesan, P, Deb, B, Ruiperez-Campillo, S, Chang, H J, Clopton, P, Rogers, A J, Rodrigo, M, Tjong, F V Y, Zaharia, M, Narayan, S M

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Artificial intelligence to reduce artifact in cardiac electrophysiological signals von Ruiperez-Campillo, S, Deb, B, Feng, R, Ganesan, P, Tjong, F V Y, Clopton, P, Rogers, A J, Narayan, S M

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Automatic left atrial segmentation from cardiac CT using computer graphics imaging and deep learning von Feng, R, Deb, B, Ganesan, P, Rogers, A J, Ruiperez-Campillo, S, Clopton, P, Tjong, F V, Chang, H J, Rodrigo, M, Zaharia, M, Narayan, S M

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Spatiotemporal signatures of response to atrial fibrillation ablation von Ganesan, P, Rogers, A J, Deb, B, Feng, R, Rodrigo, M, Ruiperez-Campillo, S, Tjong, F V, Bhatia, N, Clopton, P, Rappel, W J, Narayan, S M

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Reduction of artifacts and noise in small electrogram datasets without manual annotation using transfer machine learning von Ruiperez-Campillo, S, Deb, B, Feng, R, Ganesan, P, Tjong, F V Y, Clopton, P, Rogers, A J, Narayan, S M

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Novel electrogram featurization reveals a spectrum of response to ablation from atrial tachycardia to types of atrial fibrillation von Ganesan, P, Rogers, A J, Deb, B, Feng, R, Ruiperez-Campillo, S, Tjong, F V, Bhatia, N, Clopton, P, Rappel, W J, Narayan, S M

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PO-01-097 USING GENERATIVE AI TO REDUCE NOISE IN ELECTROPHYSIOLOGICAL SIGNALS: OUTPERFORMING STATE-OF-THE-ART FILTERS von Ruiperez-Campillo, Samuel, Sutter, Thomas M., Ryser, Alain, Feng, Ruibin, Ganesan, Prasanth, Brennan, Kelly, Pedron, Maxime, Clopton, Paul, Kolk, Maarten, Tjong, Fleur V., Reiss, Michael, Rogers, Albert J., Vogt, Julia E., Narayan, Sanjiv M.

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Abstract 11648: ECG-Derived Features Enable Prediction of Sudden Death in Ischemic Cardiomyopathy von Ruiperez-Campillo, Samuel, Deb, Brototo, Selvalingam, Anojan, Feng, Ruibin, Ganesan, Prasanth, Tjong, Fleur V, Chang, Hui Ju, Kolk, Maarten Z. H., Kowalewski, Christopher, Vasireddi, Sunil K, Goyal, Jatin, Rogers, Albert J, Clopton, Paul L, Narayan, Sanjiv M

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Abstract 15172: Improving Cardiac Segmentation for Atrial Fibrillation Ablation: A Prospective Trial of Machine Learned Geometric Dissection vs Experts von Feng, Ruibin, Deb, Brototo, Ganesan, Prasanth, Tjong, Fleur V, Ruiperez-Campillo, Samuel, Clopton, Paul L, Rogers, Albert J, Somani, Sulaiman, Rodrigo, Miguel, Zou, James, Zaharia, Matei, Narayan, Sanjiv M

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Abstract 15312: Automatic Left Atrial Volume and Sphericity Index Calculation From Cardiac CT Using Computer Graphics Imaging and Deep Learning von Feng, Ruibin, Deb, Brototo, Ganesan, Prasanth, Tjong, Fleur V, Rogers, Albert J, Ruiperez-Campillo, Samuel, Somani, Sulaiman, Rodrigo, Miguel, Clopton, Paul L, Zou, James, Zaharia, Matei, Narayan, Sanjiv M

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