<?xml version="1.0" encoding="utf-8" standalone="yes"?><!DOCTYPE rss PUBLIC "-//Netscape Communications//DTD RSS 0.91//EN" "http://my.netscape.com/publish/formats/rss-0.91.dtd"><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ev="http://purl.org/rss/1.0/modules/event/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>Publications de Maxime Sermesant, RHU Talent</title><link>https://www.rhu-talent.fr/equipe/maxime-sermesant/publications/</link><description><![CDATA[
    <b>Directeur de recherche Inria<br></b><a href="/organisations/inria/">Inria</a>
  ]]></description><generator>Hugo+Osuny</generator><language>fr</language><lastBuildDate>Fri, 29 May 2026 14:52:38 +0200</lastBuildDate><atom:link href="https://www.rhu-talent.fr/equipe/maxime-sermesant/publications/index.xml" rel="self" type="application/rss+xml"/><item><title>Beyond CHA²DS²-VASc: Hemodynamic and Morphologic Discriminants for Thrombus Formation and Stroke in Atrial Fibrillation Patients</title><link>https://www.rhu-talent.fr/resultats/publications/2026-beyond-cha-ds-vasc-hemodynamic-and-morphologic-discriminants-for-thrombus-formation-and-stroke-in-at/</link><pubDate>Fri, 06 Mar 2026 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2026-beyond-cha-ds-vasc-hemodynamic-and-morphologic-discriminants-for-thrombus-formation-and-stroke-in-at/</guid></item><item><title>In silico predictions of action potential propagation in doxorubicin cardiotoxicity: A parametric study using preclinical 3D magnetic resonance imaging‐based fibrotic left ventricle models</title><link>https://www.rhu-talent.fr/resultats/publications/2025-in-silico-predictions-of-action-potential-propagation-in-doxorubicin-cardiotoxicity-a-parametric-stu/</link><pubDate>Sun, 02 Nov 2025 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2025-in-silico-predictions-of-action-potential-propagation-in-doxorubicin-cardiotoxicity-a-parametric-stu/</guid></item><item><title>A cloud-based platform for seamless digital testing of cardiac medical devices and drugs</title><link>https://www.rhu-talent.fr/resultats/publications/2025-a-cloud-based-platform-for-seamless-digital-testing-of-cardiac-medical-devices-and-drugs/</link><pubDate>Tue, 26 Aug 2025 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2025-a-cloud-based-platform-for-seamless-digital-testing-of-cardiac-medical-devices-and-drugs/</guid></item><item><title>Learning Cardiac Electrophysiology with Graph Neural Networks for Fast Data-driven Personalised Predictions</title><link>https://www.rhu-talent.fr/resultats/publications/2025-learning-cardiac-electrophysiology-with-graph-neural-networks-for-fast-data-driven-personalised-pred/</link><pubDate>Wed, 16 Jul 2025 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2025-learning-cardiac-electrophysiology-with-graph-neural-networks-for-fast-data-driven-personalised-pred/</guid></item><item><title>Myocardial Stiffness Quantification using Ultrasound Shear Wave Elastography and Reduced Modeling for Subject-specific Simulations</title><link>https://www.rhu-talent.fr/resultats/publications/2025-myocardial-stiffness-quantification-using-ultrasound-shear-wave-elastography-and-reduced-modeling-fo/</link><pubDate>Wed, 16 Jul 2025 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2025-myocardial-stiffness-quantification-using-ultrasound-shear-wave-elastography-and-reduced-modeling-fo/</guid></item><item><title>Digital twin integrating clinical, morphological and hemodynamic data to identify stroke risk factors</title><link>https://www.rhu-talent.fr/resultats/publications/2025-digital-twin-integrating-clinical-morphological-and-hemodynamic-data-to-identify-stroke-risk-factors/</link><pubDate>Tue, 17 Jun 2025 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2025-digital-twin-integrating-clinical-morphological-and-hemodynamic-data-to-identify-stroke-risk-factors/</guid></item><item><title>Frugal AI for Automated Cardiac Defibrillation: Balancing Performance &amp; Hardware Constraints</title><link>https://www.rhu-talent.fr/resultats/publications/2025-frugal-ai-for-automated-cardiac-defibrillation-balancing-performance-hardware-constraints-1/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2025-frugal-ai-for-automated-cardiac-defibrillation-balancing-performance-hardware-constraints-1/</guid></item><item><title>Frugal AI for Automated Cardiac Defibrillation: Balancing Performance &amp; Hardware Constraints</title><link>https://www.rhu-talent.fr/resultats/publications/2025-frugal-ai-for-automated-cardiac-defibrillation-balancing-performance-hardware-constraints/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2025-frugal-ai-for-automated-cardiac-defibrillation-balancing-performance-hardware-constraints/</guid></item><item><title>In silico Assessment of Arrhythmia Inducibility Dependence on Stimulus Location using Calibrated MR-based Infarcted Heart Models</title><link>https://www.rhu-talent.fr/resultats/publications/2025-in-silico-assessment-of-arrhythmia-inducibility-dependence-on-stimulus-location-using-calibrated-mr/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2025-in-silico-assessment-of-arrhythmia-inducibility-dependence-on-stimulus-location-using-calibrated-mr/</guid></item><item><title>Multimodal Personalisation of Cardiac Electrophysiology Models combining 12-lead ECG and Computed Tomography</title><link>https://www.rhu-talent.fr/resultats/publications/2025-multimodal-personalisation-of-cardiac-electrophysiology-models-combining-12-lead-ecg-and-computed-to/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2025-multimodal-personalisation-of-cardiac-electrophysiology-models-combining-12-lead-ecg-and-computed-to/</guid></item><item><title>Uncertainty-Informed Multimodal Infarct Age Prediction from Imaging and Clinical Data</title><link>https://www.rhu-talent.fr/resultats/publications/2025-uncertainty-informed-multimodal-infarct-age-prediction-from-imaging-and-clinical-data/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2025-uncertainty-informed-multimodal-infarct-age-prediction-from-imaging-and-clinical-data/</guid></item><item><title>Imaging‐Aided VT Ablation. Long‐Term Results From a Pilot Study</title><link>https://www.rhu-talent.fr/resultats/publications/2025-imaging-aided-vt-ablation-long-term-results-from-a-pilot-study-1/</link><pubDate>Mon, 26 May 2025 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2025-imaging-aided-vt-ablation-long-term-results-from-a-pilot-study-1/</guid></item><item><title>Cardiac Electromechanical Model Sensitivity Analysis using Causal Discovery</title><link>https://www.rhu-talent.fr/resultats/publications/2025-cardiac-electromechanical-model-sensitivity-analysis-using-causal-discovery/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2025-cardiac-electromechanical-model-sensitivity-analysis-using-causal-discovery/</guid></item><item><title>Improving Neural Network Surface Processing with Principal Curvatures</title><link>https://www.rhu-talent.fr/resultats/publications/2024-improving-neural-network-surface-processing-with-principal-curvatures/</link><pubDate>Tue, 10 Dec 2024 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2024-improving-neural-network-surface-processing-with-principal-curvatures/</guid></item><item><title>Echocardiography Analysis with Deep Learning using Priors: Multi-centric Evaluation of Generalisation</title><link>https://www.rhu-talent.fr/resultats/publications/2024-echocardiography-analysis-with-deep-learning-using-priors-multi-centric-evaluation-of-generalisation/</link><pubDate>Sat, 30 Nov 2024 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2024-echocardiography-analysis-with-deep-learning-using-priors-multi-centric-evaluation-of-generalisation/</guid></item><item><title>Artificial Intelligence for Automated Cardiac Defibrillation in Embedded Systems</title><link>https://www.rhu-talent.fr/resultats/publications/2024-artificial-intelligence-for-automated-cardiac-defibrillation-in-embedded-systems/</link><pubDate>Wed, 27 Nov 2024 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2024-artificial-intelligence-for-automated-cardiac-defibrillation-in-embedded-systems/</guid></item><item><title>Exploring Chemotherapy-Induced Cardiotoxicity Combining A 3D Computational Model and Preclinical Cardiac Imaging Data</title><link>https://www.rhu-talent.fr/resultats/publications/2024-exploring-chemotherapy-induced-cardiotoxicity-combining-a-3d-computational-model-and-preclinical-car/</link><pubDate>Sun, 10 Nov 2024 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2024-exploring-chemotherapy-induced-cardiotoxicity-combining-a-3d-computational-model-and-preclinical-car/</guid></item><item><title>Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction</title><link>https://www.rhu-talent.fr/resultats/publications/2024-constraint-based-model-in-multimodal-learning-to-improve-ventricular-arrhythmia-prediction/</link><pubDate>Thu, 10 Oct 2024 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2024-constraint-based-model-in-multimodal-learning-to-improve-ventricular-arrhythmia-prediction/</guid></item><item><title>Uncertainty-Based Multi-modal Learning for Myocardial Infarction Diagnosis Using Echocardiography and Electrocardiograms</title><link>https://www.rhu-talent.fr/resultats/publications/2024-uncertainty-based-multi-modal-learning-for-myocardial-infarction-diagnosis-using-echocardiography-an/</link><pubDate>Sat, 05 Oct 2024 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2024-uncertainty-based-multi-modal-learning-for-myocardial-infarction-diagnosis-using-echocardiography-an/</guid></item><item><title>Activation Recovery Interval for Personalized Cardiac Assessment</title><link>https://www.rhu-talent.fr/resultats/publications/2024-activation-recovery-interval-for-personalized-cardiac-assessment/</link><pubDate>Sun, 08 Sep 2024 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2024-activation-recovery-interval-for-personalized-cardiac-assessment/</guid></item><item><title>Assessing Ionic Current Blockades and Electromechanical Biomarkers’ Interrelations Through a Novel Multi-Channel Causal Variational Autoencoder</title><link>https://www.rhu-talent.fr/resultats/publications/2024-assessing-ionic-current-blockades-and-electromechanical-biomarkers-interrelations-through-a-novel-mu/</link><pubDate>Sun, 08 Sep 2024 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2024-assessing-ionic-current-blockades-and-electromechanical-biomarkers-interrelations-through-a-novel-mu/</guid></item><item><title>Personalisation of Action Potentials Based on Activation Recovery Intervals in Post Infarcted Pigs: A Simulation Study</title><link>https://www.rhu-talent.fr/resultats/publications/2024-personalisation-of-action-potentials-based-on-activation-recovery-intervals-in-post-infarcted-pigs-a/</link><pubDate>Sun, 08 Sep 2024 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2024-personalisation-of-action-potentials-based-on-activation-recovery-intervals-in-post-infarcted-pigs-a/</guid></item><item><title>YOUR-Lead: YOLO and U-Net for Reconstruction of ECG Lead Signals</title><link>https://www.rhu-talent.fr/resultats/publications/2024-your-lead-yolo-and-u-net-for-reconstruction-of-ecg-lead-signals/</link><pubDate>Sun, 08 Sep 2024 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2024-your-lead-yolo-and-u-net-for-reconstruction-of-ecg-lead-signals/</guid></item><item><title>Mutual Information Guided Diffusion for Zero-Shot Cross-Modality Medical Image Translation</title><link>https://www.rhu-talent.fr/resultats/publications/2024-mutual-information-guided-diffusion-for-zero-shot-cross-modality-medical-image-translation/</link><pubDate>Fri, 29 Mar 2024 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2024-mutual-information-guided-diffusion-for-zero-shot-cross-modality-medical-image-translation/</guid></item><item><title>Building credibility of computational models in cardiovascular medicine through verification and validation</title><link>https://www.rhu-talent.fr/resultats/publications/2024-building-credibility-of-computational-models-in-cardiovascular-medicine-through-verification-and-val/</link><pubDate>Wed, 13 Mar 2024 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2024-building-credibility-of-computational-models-in-cardiovascular-medicine-through-verification-and-val/</guid></item><item><title>Automatic Analysis of Activation Recovery Interval in Heterogeneous Fibrotic Tissue from Chronically Infarcted Swine</title><link>https://www.rhu-talent.fr/resultats/publications/2024-automatic-analysis-of-activation-recovery-interval-in-heterogeneous-fibrotic-tissue-from-chronically/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2024-automatic-analysis-of-activation-recovery-interval-in-heterogeneous-fibrotic-tissue-from-chronically/</guid></item><item><title>A causal discovery approach for streamline ion channels selection to improve drug-induced TdP risk assessment</title><link>https://www.rhu-talent.fr/resultats/publications/2023-a-causal-discovery-approach-for-streamline-ion-channels-selection-to-improve-drug-induced-tdp-risk-a/</link><pubDate>Tue, 26 Dec 2023 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2023-a-causal-discovery-approach-for-streamline-ion-channels-selection-to-improve-drug-induced-tdp-risk-a/</guid></item><item><title>Simultaneous data assimilation and cardiac electrophysiology model correction using differentiable physics and deep learning</title><link>https://www.rhu-talent.fr/resultats/publications/2023-simultaneous-data-assimilation-and-cardiac-electrophysiology-model-correction-using-differentiable-p/</link><pubDate>Fri, 15 Dec 2023 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2023-simultaneous-data-assimilation-and-cardiac-electrophysiology-model-correction-using-differentiable-p/</guid></item><item><title>Efficient Patient-Specific Simulations of Ventricular Tachycardia Based on Computed Tomography-Defined Wall Thickness Heterogeneity</title><link>https://www.rhu-talent.fr/resultats/publications/2023-efficient-patient-specific-simulations-of-ventricular-tachycardia-based-on-computed-tomography-defin/</link><pubDate>Fri, 01 Sep 2023 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2023-efficient-patient-specific-simulations-of-ventricular-tachycardia-based-on-computed-tomography-defin/</guid></item><item><title>Unsupervised Polyaffine Transformation Learning for Echocardiography Motion Estimation</title><link>https://www.rhu-talent.fr/resultats/publications/2023-unsupervised-polyaffine-transformation-learning-for-echocardiography-motion-estimation/</link><pubDate>Mon, 19 Jun 2023 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2023-unsupervised-polyaffine-transformation-learning-for-echocardiography-motion-estimation/</guid></item><item><title>Outcome Prediction</title><link>https://www.rhu-talent.fr/resultats/publications/2023-outcome-prediction/</link><pubDate>Fri, 05 May 2023 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2023-outcome-prediction/</guid></item><item><title>Effect of ASD closure on right ventricular function using 3D echocardiography</title><link>https://www.rhu-talent.fr/resultats/publications/2023-effect-of-asd-closure-on-right-ventricular-function-using-3d-echocardiography/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2023-effect-of-asd-closure-on-right-ventricular-function-using-3d-echocardiography/</guid></item><item><title>Unsupervised Echocardiography Registration through Patch-based MLPs and Transformers</title><link>https://www.rhu-talent.fr/resultats/publications/2022-unsupervised-echocardiography-registration-through-patch-based-mlps-and-transformers/</link><pubDate>Sat, 15 Oct 2022 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2022-unsupervised-echocardiography-registration-through-patch-based-mlps-and-transformers/</guid></item><item><title>APHYN-EP: Physics-based deep learning framework to learn and forecast cardiac electrophysiology dynamics</title><link>https://www.rhu-talent.fr/resultats/publications/2022-aphyn-ep-physics-based-deep-learning-framework-to-learn-and-forecast-cardiac-electrophysiology-dynam/</link><pubDate>Sun, 18 Sep 2022 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2022-aphyn-ep-physics-based-deep-learning-framework-to-learn-and-forecast-cardiac-electrophysiology-dynam/</guid></item><item><title>Explainable Electrocardiogram Analysis with Wave Decomposition: Application to Myocardial Infarction Detection</title><link>https://www.rhu-talent.fr/resultats/publications/2022-explainable-electrocardiogram-analysis-with-wave-decomposition-application-to-myocardial-infarction/</link><pubDate>Sun, 18 Sep 2022 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2022-explainable-electrocardiogram-analysis-with-wave-decomposition-application-to-myocardial-infarction/</guid></item><item><title>Interpretable Prediction of Post-Infarct Ventricular Arrhythmia using Graph Convolutional Network</title><link>https://www.rhu-talent.fr/resultats/publications/2022-interpretable-prediction-of-post-infarct-ventricular-arrhythmia-using-graph-convolutional-network/</link><pubDate>Sun, 18 Sep 2022 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2022-interpretable-prediction-of-post-infarct-ventricular-arrhythmia-using-graph-convolutional-network/</guid></item><item><title>Deep Learning for Model Correction in Cardiac Electrophysiological Imaging</title><link>https://www.rhu-talent.fr/resultats/publications/2022-deep-learning-for-model-correction-in-cardiac-electrophysiological-imaging/</link><pubDate>Wed, 06 Jul 2022 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2022-deep-learning-for-model-correction-in-cardiac-electrophysiological-imaging/</guid></item><item><title>Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data</title><link>https://www.rhu-talent.fr/resultats/publications/2022-meshless-electrophysiological-modeling-of-cardiac-resynchronization-therapy-benchmark-analysis-with/</link><pubDate>Fri, 01 Jul 2022 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2022-meshless-electrophysiological-modeling-of-cardiac-resynchronization-therapy-benchmark-analysis-with/</guid></item><item><title>MUSIC: Cardiac Imaging, Modelling and Visualisation Software for Diagnosis and Therapy</title><link>https://www.rhu-talent.fr/resultats/publications/2022-music-cardiac-imaging-modelling-and-visualisation-software-for-diagnosis-and-therapy/</link><pubDate>Wed, 01 Jun 2022 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2022-music-cardiac-imaging-modelling-and-visualisation-software-for-diagnosis-and-therapy/</guid></item><item><title>Deep learning formulation of ECGI evaluated on clinical data</title><link>https://www.rhu-talent.fr/resultats/publications/2022-deep-learning-formulation-of-ecgi-evaluated-on-clinical-data/</link><pubDate>Thu, 19 May 2022 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2022-deep-learning-formulation-of-ecgi-evaluated-on-clinical-data/</guid></item><item><title>Long-term remodelling and arrhythmogenicity after myocardial infarction using a novel image-based estimator: the Scar Maturation Score</title><link>https://www.rhu-talent.fr/resultats/publications/2022-long-term-remodelling-and-arrhythmogenicity-after-myocardial-infarction-using-a-novel-image-based-es/</link><pubDate>Wed, 18 May 2022 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2022-long-term-remodelling-and-arrhythmogenicity-after-myocardial-infarction-using-a-novel-image-based-es/</guid></item><item><title>Deep learning for eye fundus diagnosis based on multispectral imaging</title><link>https://www.rhu-talent.fr/resultats/publications/2022-deep-learning-for-eye-fundus-diagnosis-based-on-multispectral-imaging/</link><pubDate>Sun, 01 May 2022 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2022-deep-learning-for-eye-fundus-diagnosis-based-on-multispectral-imaging/</guid></item><item><title>Decoding genetic markers of multiple phenotypic layers through biologically constrained Genome-to-Phenome Bayesian Sparse Regression</title><link>https://www.rhu-talent.fr/resultats/publications/2022-decoding-genetic-markers-of-multiple-phenotypic-layers-through-biologically-constrained-genome-to-ph/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2022-decoding-genetic-markers-of-multiple-phenotypic-layers-through-biologically-constrained-genome-to-ph/</guid></item><item><title>Left atrial shape is independent predictor of arrhythmia recurrence after catheter ablation for atrial fibrillation: A shape statistics study</title><link>https://www.rhu-talent.fr/resultats/publications/2021-left-atrial-shape-is-independent-predictor-of-arrhythmia-recurrence-after-catheter-ablation-for-atri/</link><pubDate>Wed, 01 Dec 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-left-atrial-shape-is-independent-predictor-of-arrhythmia-recurrence-after-catheter-ablation-for-atri/</guid></item><item><title>Automatic classification of multispectral eye fundus images using deep learning</title><link>https://www.rhu-talent.fr/resultats/publications/2021-automatic-classification-of-multispectral-eye-fundus-images-using-deep-learning/</link><pubDate>Mon, 22 Nov 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-automatic-classification-of-multispectral-eye-fundus-images-using-deep-learning/</guid></item><item><title>Phase-independent Latent Representation for Cardiac Shape Analysis</title><link>https://www.rhu-talent.fr/resultats/publications/2021-phase-independent-latent-representation-for-cardiac-shape-analysis/</link><pubDate>Mon, 27 Sep 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-phase-independent-latent-representation-for-cardiac-shape-analysis/</guid></item><item><title>What computational sciences can do for your heart</title><link>https://www.rhu-talent.fr/resultats/publications/2021-what-computational-sciences-can-do-for-your-heart/</link><pubDate>Fri, 10 Sep 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-what-computational-sciences-can-do-for-your-heart/</guid></item><item><title>Biophysics-based statistical learning: Application to heart and brain interactions</title><link>https://www.rhu-talent.fr/resultats/publications/2021-biophysics-based-statistical-learning-application-to-heart-and-brain-interactions/</link><pubDate>Sun, 01 Aug 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-biophysics-based-statistical-learning-application-to-heart-and-brain-interactions/</guid></item><item><title>Personal-by-design: a 3D Electromechanical Model of the Heart Tailored for Personalisation</title><link>https://www.rhu-talent.fr/resultats/publications/2021-personal-by-design-a-3d-electromechanical-model-of-the-heart-tailored-for-personalisation/</link><pubDate>Mon, 21 Jun 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-personal-by-design-a-3d-electromechanical-model-of-the-heart-tailored-for-personalisation/</guid></item><item><title>Shape Constraints in Deep Learning for Robust 2D Echocardiography Analysis</title><link>https://www.rhu-talent.fr/resultats/publications/2021-shape-constraints-in-deep-learning-for-robust-2d-echocardiography-analysis/</link><pubDate>Mon, 21 Jun 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-shape-constraints-in-deep-learning-for-robust-2d-echocardiography-analysis/</guid></item><item><title>EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology</title><link>https://www.rhu-talent.fr/resultats/publications/2021-ep-net-2-0-out-of-domain-generalisation-for-deep-learning-models-of-cardiac-electrophysiology/</link><pubDate>Fri, 18 Jun 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-ep-net-2-0-out-of-domain-generalisation-for-deep-learning-models-of-cardiac-electrophysiology/</guid></item><item><title>Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep Learning</title><link>https://www.rhu-talent.fr/resultats/publications/2021-scar-related-ventricular-arrhythmia-prediction-from-imaging-using-explainable-deep-learning/</link><pubDate>Fri, 18 Jun 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-scar-related-ventricular-arrhythmia-prediction-from-imaging-using-explainable-deep-learning/</guid></item><item><title>Cardiac Motion Modeling with Parallel Transport and Shape Splines</title><link>https://www.rhu-talent.fr/resultats/publications/2021-cardiac-motion-modeling-with-parallel-transport-and-shape-splines/</link><pubDate>Tue, 13 Apr 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-cardiac-motion-modeling-with-parallel-transport-and-shape-splines/</guid></item><item><title>Applications of artificial intelligence in cardiovascular imaging</title><link>https://www.rhu-talent.fr/resultats/publications/2021-applications-of-artificial-intelligence-in-cardiovascular-imaging/</link><pubDate>Fri, 12 Mar 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-applications-of-artificial-intelligence-in-cardiovascular-imaging/</guid></item><item><title>Deep Learning Formulation of ECGI Integrating Image &amp; Signal Information with Data-driven Regularisation</title><link>https://www.rhu-talent.fr/resultats/publications/2021-deep-learning-formulation-of-ecgi-integrating-image-signal-information-with-data-driven-regularisati/</link><pubDate>Mon, 01 Mar 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-deep-learning-formulation-of-ecgi-integrating-image-signal-information-with-data-driven-regularisati/</guid></item><item><title>Additional prognostic value of echocardiographic follow-up in pulmonary hypertension - role of 3D right ventricular area strain</title><link>https://www.rhu-talent.fr/resultats/publications/2021-additional-prognostic-value-of-echocardiographic-follow-up-in-pulmonary-hypertension-role-of-3d-righ/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-additional-prognostic-value-of-echocardiographic-follow-up-in-pulmonary-hypertension-role-of-3d-righ/</guid></item><item><title>Direction-dependent decomposition of 3D right ventricular motion: beware of approximations</title><link>https://www.rhu-talent.fr/resultats/publications/2021-direction-dependent-decomposition-of-3d-right-ventricular-motion-beware-of-approximations/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-direction-dependent-decomposition-of-3d-right-ventricular-motion-beware-of-approximations/</guid></item><item><title>Value of 3D right ventricular function over 2D assessment in acute pulmonary embolism</title><link>https://www.rhu-talent.fr/resultats/publications/2021-value-of-3d-right-ventricular-function-over-2d-assessment-in-acute-pulmonary-embolism/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2021-value-of-3d-right-ventricular-function-over-2d-assessment-in-acute-pulmonary-embolism/</guid></item><item><title>Automatic multiplanar CT reformatting from trans-axial into left ventricle short-axis view</title><link>https://www.rhu-talent.fr/resultats/publications/2020-automatic-multiplanar-ct-reformatting-from-trans-axial-into-left-ventricle-short-axis-view/</link><pubDate>Sun, 04 Oct 2020 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2020-automatic-multiplanar-ct-reformatting-from-trans-axial-into-left-ventricle-short-axis-view/</guid></item><item><title>Estimation of imaging biomarker's progression in post-infarct patients using cross-sectional data</title><link>https://www.rhu-talent.fr/resultats/publications/2020-estimation-of-imaging-biomarker-s-progression-in-post-infarct-patients-using-cross-sectional-data/</link><pubDate>Sun, 04 Oct 2020 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2020-estimation-of-imaging-biomarker-s-progression-in-post-infarct-patients-using-cross-sectional-data/</guid></item><item><title>Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets</title><link>https://www.rhu-talent.fr/resultats/publications/2020-joint-data-imputation-and-mechanistic-modelling-for-simulating-heart-brain-interactions-in-incomplet/</link><pubDate>Tue, 29 Sep 2020 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2020-joint-data-imputation-and-mechanistic-modelling-for-simulating-heart-brain-interactions-in-incomplet/</guid></item><item><title>End-to-end Cardiac Ultrasound Simulation for a Better Understanding of Image Quality</title><link>https://www.rhu-talent.fr/resultats/publications/2020-end-to-end-cardiac-ultrasound-simulation-for-a-better-understanding-of-image-quality/</link><pubDate>Thu, 23 Jan 2020 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2020-end-to-end-cardiac-ultrasound-simulation-for-a-better-understanding-of-image-quality/</guid></item><item><title>Right ventricular remodelling in CHD-PAH patients using 3D speckle tracking</title><link>https://www.rhu-talent.fr/resultats/publications/2020-right-ventricular-remodelling-in-chd-pah-patients-using-3d-speckle-tracking-1/</link><pubDate>Wed, 15 Jan 2020 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2020-right-ventricular-remodelling-in-chd-pah-patients-using-3d-speckle-tracking-1/</guid></item><item><title>3D right ventricular shape and strain in congenital heart disease patients with right ventricular chronic volume loading</title><link>https://www.rhu-talent.fr/resultats/publications/2020-3d-right-ventricular-shape-and-strain-in-congenital-heart-disease-patients-with-right-ventricular-ch/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2020-3d-right-ventricular-shape-and-strain-in-congenital-heart-disease-patients-with-right-ventricular-ch/</guid></item><item><title>Eikonal Model Personalisation using Invasive Data to Predict Cardiac Resynchronisation Therapy Electrophysiological Response</title><link>https://www.rhu-talent.fr/resultats/publications/2019-eikonal-model-personalisation-using-invasive-data-to-predict-cardiac-resynchronisation-therapy-elect/</link><pubDate>Sun, 13 Oct 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-eikonal-model-personalisation-using-invasive-data-to-predict-cardiac-resynchronisation-therapy-elect/</guid></item><item><title>Non-Invasive Pressure Estimation in Patients with Pulmonary Arterial Hypertension: Data-driven or Model-based?</title><link>https://www.rhu-talent.fr/resultats/publications/2019-non-invasive-pressure-estimation-in-patients-with-pulmonary-arterial-hypertension-data-driven-or-mod/</link><pubDate>Sun, 13 Oct 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-non-invasive-pressure-estimation-in-patients-with-pulmonary-arterial-hypertension-data-driven-or-mod/</guid></item><item><title>Style Data Augmentation for Robust Segmentation of Multi-Modality Cardiac MRI</title><link>https://www.rhu-talent.fr/resultats/publications/2019-style-data-augmentation-for-robust-segmentation-of-multi-modality-cardiac-mri/</link><pubDate>Sun, 13 Oct 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-style-data-augmentation-for-robust-segmentation-of-multi-modality-cardiac-mri/</guid></item><item><title>Towards Hyper-Reduction of Cardiac Models using Poly-Affine Deformation</title><link>https://www.rhu-talent.fr/resultats/publications/2019-towards-hyper-reduction-of-cardiac-models-using-poly-affine-deformation/</link><pubDate>Sun, 13 Oct 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-towards-hyper-reduction-of-cardiac-models-using-poly-affine-deformation/</guid></item><item><title>Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms</title><link>https://www.rhu-talent.fr/resultats/publications/2019-symmetric-algorithmic-components-for-shape-analysis-with-diffeomorphisms/</link><pubDate>Tue, 27 Aug 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-symmetric-algorithmic-components-for-shape-analysis-with-diffeomorphisms/</guid></item><item><title>Improving Cardiac Arrhythmia Therapy with Medical Imaging</title><link>https://www.rhu-talent.fr/resultats/publications/2019-improving-cardiac-arrhythmia-therapy-with-medical-imaging/</link><pubDate>Wed, 17 Jul 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-improving-cardiac-arrhythmia-therapy-with-medical-imaging/</guid></item><item><title>Deep Learning Formulation of ECGI for Data-driven Integration of Spatiotemporal Correlations and Imaging Information</title><link>https://www.rhu-talent.fr/resultats/publications/2019-deep-learning-formulation-of-ecgi-for-data-driven-integration-of-spatiotemporal-correlations-and-ima/</link><pubDate>Thu, 06 Jun 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-deep-learning-formulation-of-ecgi-for-data-driven-integration-of-spatiotemporal-correlations-and-ima/</guid></item><item><title>EP-Net: Learning Cardiac Electrophysiology Models for Physiology-based Constraints in Data-Driven Predictions</title><link>https://www.rhu-talent.fr/resultats/publications/2019-ep-net-learning-cardiac-electrophysiology-models-for-physiology-based-constraints-in-data-driven-pre/</link><pubDate>Thu, 06 Jun 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-ep-net-learning-cardiac-electrophysiology-models-for-physiology-based-constraints-in-data-driven-pre/</guid></item><item><title>Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging</title><link>https://www.rhu-talent.fr/resultats/publications/2019-fully-automated-electrophysiological-model-personalisation-framework-from-ct-imaging/</link><pubDate>Thu, 06 Jun 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-fully-automated-electrophysiological-model-personalisation-framework-from-ct-imaging/</guid></item><item><title>6-month echocardiographic changes in pulmonary hypertension patients - Prognostic value of 3D area strain</title><link>https://www.rhu-talent.fr/resultats/publications/2019-6-month-echocardiographic-changes-in-pulmonary-hypertension-patients-prognostic-value-of-3d-area-str/</link><pubDate>Sat, 01 Jun 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-6-month-echocardiographic-changes-in-pulmonary-hypertension-patients-prognostic-value-of-3d-area-str/</guid></item><item><title>Are wall thickness channels defined by computed tomography predictive of isthmuses of postinfarction ventricular tachycardia?</title><link>https://www.rhu-talent.fr/resultats/publications/2019-are-wall-thickness-channels-defined-by-computed-tomography-predictive-of-isthmuses-of-postinfarction/</link><pubDate>Sat, 01 Jun 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-are-wall-thickness-channels-defined-by-computed-tomography-predictive-of-isthmuses-of-postinfarction/</guid></item><item><title>Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions</title><link>https://www.rhu-talent.fr/resultats/publications/2019-large-scale-cardiovascular-model-personalisation-for-mechanistic-analysis-of-heart-and-brain-interac/</link><pubDate>Thu, 30 May 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-large-scale-cardiovascular-model-personalisation-for-mechanistic-analysis-of-heart-and-brain-interac/</guid></item><item><title>A rule‐based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts</title><link>https://www.rhu-talent.fr/resultats/publications/2019-a-rule-based-method-to-model-myocardial-fiber-orientation-in-cardiac-biventricular-geometries-with-o/</link><pubDate>Thu, 07 Mar 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-a-rule-based-method-to-model-myocardial-fiber-orientation-in-cardiac-biventricular-geometries-with-o/</guid></item><item><title>Automatic non-invasive substrate analysis from CT images in post-infarction VT</title><link>https://www.rhu-talent.fr/resultats/publications/2019-automatic-non-invasive-substrate-analysis-from-ct-images-in-post-infarction-vt/</link><pubDate>Fri, 01 Mar 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-automatic-non-invasive-substrate-analysis-from-ct-images-in-post-infarction-vt/</guid></item><item><title>Population-based priors in cardiac model personalisation for consistent parameter estimation in heterogeneous databases</title><link>https://www.rhu-talent.fr/resultats/publications/2019-population-based-priors-in-cardiac-model-personalisation-for-consistent-parameter-estimation-in-hete/</link><pubDate>Wed, 13 Feb 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-population-based-priors-in-cardiac-model-personalisation-for-consistent-parameter-estimation-in-hete/</guid></item><item><title>3D right ventricular strain and shape in volume overload: comparative analysis of Tetralogy of Fallot and atrial septal defect patients</title><link>https://www.rhu-talent.fr/resultats/publications/2019-3d-right-ventricular-strain-and-shape-in-volume-overload-comparative-analysis-of-tetralogy-of-fallot/</link><pubDate>Wed, 16 Jan 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-3d-right-ventricular-strain-and-shape-in-volume-overload-comparative-analysis-of-tetralogy-of-fallot/</guid></item><item><title>Incremental prognostic value of changes in 3D right ventricular function in pulmonary hypertension</title><link>https://www.rhu-talent.fr/resultats/publications/2019-incremental-prognostic-value-of-changes-in-3d-right-ventricular-function-in-pulmonary-hypertension-1/</link><pubDate>Wed, 16 Jan 2019 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2019-incremental-prognostic-value-of-changes-in-3d-right-ventricular-function-in-pulmonary-hypertension-1/</guid></item><item><title>Algorithms for left atrial wall segmentation and thickness – Evaluation on an open-source CT and MRI image database</title><link>https://www.rhu-talent.fr/resultats/publications/2018-algorithms-for-left-atrial-wall-segmentation-and-thickness-evaluation-on-an-open-source-ct-and-mri-i/</link><pubDate>Sat, 01 Dec 2018 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2018-algorithms-for-left-atrial-wall-segmentation-and-thickness-evaluation-on-an-open-source-ct-and-mri-i/</guid></item><item><title>Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning</title><link>https://www.rhu-talent.fr/resultats/publications/2018-fast-personalized-electrophysiological-models-from-ct-images-for-ventricular-tachycardia-ablation-pl/</link><pubDate>Fri, 23 Nov 2018 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2018-fast-personalized-electrophysiological-models-from-ct-images-for-ventricular-tachycardia-ablation-pl/</guid></item><item><title>Right Ventricular Function Evolution With Pregnancy in Repaired Tetralogy of Fallot</title><link>https://www.rhu-talent.fr/resultats/publications/2018-right-ventricular-function-evolution-with-pregnancy-in-repaired-tetralogy-of-fallot/</link><pubDate>Mon, 01 Oct 2018 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2018-right-ventricular-function-evolution-with-pregnancy-in-repaired-tetralogy-of-fallot/</guid></item><item><title>Parallel Transport of Surface Deformations from Pole Ladder to Symmetrical Extension</title><link>https://www.rhu-talent.fr/resultats/publications/2018-parallel-transport-of-surface-deformations-from-pole-ladder-to-symmetrical-extension/</link><pubDate>Thu, 20 Sep 2018 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2018-parallel-transport-of-surface-deformations-from-pole-ladder-to-symmetrical-extension/</guid></item><item><title>Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss</title><link>https://www.rhu-talent.fr/resultats/publications/2018-automatically-segmenting-the-left-atrium-from-cardiac-images-using-successive-3d-u-nets-and-a-contou/</link><pubDate>Sun, 16 Sep 2018 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2018-automatically-segmenting-the-left-atrium-from-cardiac-images-using-successive-3d-u-nets-and-a-contou/</guid></item><item><title>Low-Dimensional Representation of Cardiac Motion Using Barycentric Subspaces: a New Group-Wise Paradigm for Estimation, Analysis, and Reconstruction</title><link>https://www.rhu-talent.fr/resultats/publications/2018-low-dimensional-representation-of-cardiac-motion-using-barycentric-subspaces-a-new-group-wise-paradi/</link><pubDate>Sun, 01 Apr 2018 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2018-low-dimensional-representation-of-cardiac-motion-using-barycentric-subspaces-a-new-group-wise-paradi/</guid></item><item><title>Model-based Feature Augmentation for Cardiac Ablation Target Learning from Images</title><link>https://www.rhu-talent.fr/resultats/publications/2018-model-based-feature-augmentation-for-cardiac-ablation-target-learning-from-images/</link><pubDate>Sat, 24 Mar 2018 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2018-model-based-feature-augmentation-for-cardiac-ablation-target-learning-from-images/</guid></item><item><title>Realistic Vendor-Specific Synthetic Ultrasound Data for Quality Assurance of 2-D Speckle Tracking Echocardiography: Simulation Pipeline and Open Access Database</title><link>https://www.rhu-talent.fr/resultats/publications/2018-realistic-vendor-specific-synthetic-ultrasound-data-for-quality-assurance-of-2-d-speckle-tracking-ec/</link><pubDate>Thu, 01 Mar 2018 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2018-realistic-vendor-specific-synthetic-ultrasound-data-for-quality-assurance-of-2-d-speckle-tracking-ec/</guid></item><item><title>Statistical shape modeling of the left ventricle: myocardial infarct classification challenge</title><link>https://www.rhu-talent.fr/resultats/publications/2018-statistical-shape-modeling-of-the-left-ventricle-myocardial-infarct-classification-challenge/</link><pubDate>Thu, 01 Mar 2018 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2018-statistical-shape-modeling-of-the-left-ventricle-myocardial-infarct-classification-challenge/</guid></item><item><title>A Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences from the same Virtual Patients</title><link>https://www.rhu-talent.fr/resultats/publications/2018-a-framework-for-the-generation-of-realistic-synthetic-cardiac-ultrasound-and-magnetic-resonance-imag/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2018-a-framework-for-the-generation-of-realistic-synthetic-cardiac-ultrasound-and-magnetic-resonance-imag/</guid></item><item><title>Model-based generation of large databases of cardiac images: synthesis of pathological cine MR sequences from real healthy cases</title><link>https://www.rhu-talent.fr/resultats/publications/2018-model-based-generation-of-large-databases-of-cardiac-images-synthesis-of-pathological-cine-mr-sequen/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2018-model-based-generation-of-large-databases-of-cardiac-images-synthesis-of-pathological-cine-mr-sequen/</guid></item><item><title>Three-dimensional right-ventricular regional deformation and survival in pulmonary hypertension</title><link>https://www.rhu-talent.fr/resultats/publications/2018-three-dimensional-right-ventricular-regional-deformation-and-survival-in-pulmonary-hypertension/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2018-three-dimensional-right-ventricular-regional-deformation-and-survival-in-pulmonary-hypertension/</guid></item><item><title>Transfer Learning from Simulations on a Reference Anatomy for ECGI in Personalised Cardiac Resynchronization Therapy</title><link>https://www.rhu-talent.fr/resultats/publications/2018-transfer-learning-from-simulations-on-a-reference-anatomy-for-ecgi-in-personalised-cardiac-resynchro/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2018-transfer-learning-from-simulations-on-a-reference-anatomy-for-ecgi-in-personalised-cardiac-resynchro/</guid></item><item><title>Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models</title><link>https://www.rhu-talent.fr/resultats/publications/2017-multifidelity-cma-a-multifidelity-approach-for-efficient-personalisation-of-3d-cardiac-electromechan/</link><pubDate>Mon, 11 Sep 2017 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2017-multifidelity-cma-a-multifidelity-approach-for-efficient-personalisation-of-3d-cardiac-electromechan/</guid></item><item><title>Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net</title><link>https://www.rhu-talent.fr/resultats/publications/2017-automatic-multi-atlas-segmentation-of-myocardium-with-svf-net/</link><pubDate>Sun, 10 Sep 2017 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2017-automatic-multi-atlas-segmentation-of-myocardium-with-svf-net/</guid></item><item><title>Non-Invasive Personalisation of a Cardiac Electrophysiology Model from Body Surface Potential Mapping</title><link>https://www.rhu-talent.fr/resultats/publications/2017-non-invasive-personalisation-of-a-cardiac-electrophysiology-model-from-body-surface-potential-mappin/</link><pubDate>Fri, 01 Sep 2017 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2017-non-invasive-personalisation-of-a-cardiac-electrophysiology-model-from-body-surface-potential-mappin/</guid></item><item><title>ECG imaging of ventricular tachycardia: evaluation against simultaneous non-contact mapping and CMR-derived grey zone</title><link>https://www.rhu-talent.fr/resultats/publications/2017-ecg-imaging-of-ventricular-tachycardia-evaluation-against-simultaneous-non-contact-mapping-and-cmr-d/</link><pubDate>Thu, 01 Jun 2017 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2017-ecg-imaging-of-ventricular-tachycardia-evaluation-against-simultaneous-non-contact-mapping-and-cmr-d/</guid></item><item><title>Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression</title><link>https://www.rhu-talent.fr/resultats/publications/2017-prediction-of-post-ablation-outcome-in-atrial-fibrillation-using-shape-parameterization-and-partial/</link><pubDate>Thu, 01 Jun 2017 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2017-prediction-of-post-ablation-outcome-in-atrial-fibrillation-using-shape-parameterization-and-partial/</guid></item><item><title>Méthode de segmentation d’une image tridimensionnelle pour la génération d’un modèle de paroi du myocarde pour la détection d’au moins une zone de circulation électrique singulière</title><link>https://www.rhu-talent.fr/resultats/publications/2017-methode-de-segmentation-d-une-image-tridimensionnelle-pour-la-generation-d-un-modele-de-paroi-du-myo/</link><pubDate>Wed, 10 May 2017 00:00:00 +0000</pubDate><guid>https://www.rhu-talent.fr/resultats/publications/2017-methode-de-segmentation-d-une-image-tridimensionnelle-pour-la-generation-d-un-modele-de-paroi-du-myo/</guid></item></channel></rss>