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Characterization of a dielectric microdroplet thermal interface material with dispersed nanoparticles

Published in Journal of Nanoparticle Research, 2012

Recommended citation: A Hamdan and F Sahli and R Richards and C Richards. (2012). "Characterization of a dielectric microdroplet thermal interface material with dispersed nanoparticles." Journal of Nanoparticle Research.
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Seeing double: a comparison of microstructure, biomechanical function, and adjacent disc health between double-and single-layer vertebral endplates

Published in Spine, 2012

Recommended citation: Aaron J Fields and Francisco Sahli and Azucena G Rodriguez and Jeffrey C Lotz. (2012). "Seeing double: a comparison of microstructure, biomechanical function, and adjacent disc health between double-and single-layer vertebral endplates." Spine.
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Bottom of a container that optimizes the use of material

Published in Working Paper, 2015

Recommended citation: Pedro Chinni Vergottini and Francisco SAHLI COSTABAL. (2015). "Bottom of a container that optimizes the use of material." Working Paper.
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Structural parameters determining the strength of the porcine vertebral body affected by tumours

Published in Computer Methods in Biomechanics and Biomedical Engineering, 2015

Recommended citation: Francisco Sahli and Jorge Cuellar and Alfonso Pérez and Aaron J Fields and Mauricio Campos and Jorge Ramos-Grez. (2015). "Structural parameters determining the strength of the porcine vertebral body affected by tumours." Computer Methods in Biomechanics and Biomedical Engineering.
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Generating Purkinje networks in the human heart

Published in Journal of biomechanics, 2016

Recommended citation: Francisco Sahli Costabal and Daniel E Hurtado and Ellen Kuhl. (2016). "Generating Purkinje networks in the human heart." Journal of biomechanics.
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Terminating atrial fibrillation by cooling the heart

Published in Heart Rhythm, 2016

Recommended citation: Sanjiv M Narayan and Tina Baykaner and Francisco Sahli Costabal and Ellen Kuhl. (2016). "Terminating atrial fibrillation by cooling the heart." Heart Rhythm.
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The importance of mechano-electrical feedback and inertia in cardiac electromechanics

Published in Computer methods in applied mechanics and engineering, 2017

Recommended citation: Francisco Sahli Costabal and Felipe A Concha and Daniel E Hurtado and Ellen Kuhl. (2017). "The importance of mechano-electrical feedback and inertia in cardiac electromechanics." Computer methods in applied mechanics and engineering.
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Interpreting activation mapping of atrial fibrillation: a hybrid computational/physiological study

Published in Annals of biomedical engineering, 2018

Recommended citation: Francisco Sahli Costabal and Junaid AB Zaman and Ellen Kuhl and Sanjiv M Narayan. (2018). "Interpreting activation mapping of atrial fibrillation: a hybrid computational/physiological study." Annals of biomedical engineering.
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Multi-Scale Modeling of Cardiac Arrhythmias

Published in Working Paper, 2018

Recommended citation: Francisco Sahli Costabal. (2018). "Multi-Scale Modeling of Cardiac Arrhythmias." Working Paper.
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Predicting drug‐induced arrhythmias by multiscale modeling

Published in International journal for numerical methods in biomedical engineering, 2018

Recommended citation: Francisco Sahli Costabal and Jiang Yao and Ellen Kuhl. (2018). "Predicting drug‐induced arrhythmias by multiscale modeling." International journal for numerical methods in biomedical engineering.
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Predicting the cardiac toxicity of drugs using a novel multiscale exposure–response simulator

Published in Computer methods in biomechanics and biomedical engineering, 2018

Recommended citation: Francisco Sahli Costabal and Jiang Yao and Ellen Kuhl. (2018). "Predicting the cardiac toxicity of drugs using a novel multiscale exposure–response simulator." Computer methods in biomechanics and biomedical engineering.
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Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty …

Published in Computer Methods in Applied Mechanics and Engineering, 2019

Recommended citation: Francisco Sahli Costabal and Kristen Matsuno and Jiang Yao and Paris Perdikaris and Ellen Kuhl. (2019). "Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty …." Computer Methods in Applied Mechanics and Engineering.
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Multidimensional estimation of cardiac arrhythmia potential across space and time

Published in bioRxiv, 2019

Recommended citation: Francisco Sahli Costabal and Kinya Seo and Euan Ashley and Ellen Kuhl. (2019). "Multidimensional estimation of cardiac arrhythmia potential across space and time." bioRxiv.
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Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models

Published in Computer Methods in Applied Mechanics and Engineering, 2019

Recommended citation: Francisco Sahli Costabal and Paris Perdikaris and Ellen Kuhl and Daniel E Hurtado. (2019). "Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models." Computer Methods in Applied Mechanics and Engineering.
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Multiscale characterization of heart failure

Published in Acta biomaterialia, 2019

Recommended citation: F Sahli Costabal and JS Choy and Kevin L Sack and Julius M Guccione and GS Kassab and Ellen Kuhl. (2019). "Multiscale characterization of heart failure." Acta biomaterialia.
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Predicting critical drug concentrations and torsadogenic risk using a multiscale exposure-response simulator

Published in Working Paper, 2019

Recommended citation: Francisco Sahli Costabal and Jiang Yao and Anna Sher and Ellen Kuhl. (2019). "Predicting critical drug concentrations and torsadogenic risk using a multiscale exposure-response simulator." Working Paper.
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Using machine learning to characterize heart failure across the scales

Published in Biomechanics and modeling in mechanobiology, 2019

Recommended citation: Mathias Peirlinck and F Sahli Costabal and KL Sack and JS Choy and GS Kassab and JM Guccione and M De Beule and Patrick Segers and E Kuhl. (2019). "Using machine learning to characterize heart failure across the scales." Biomechanics and modeling in mechanobiology.
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Classifying drugs by their arrhythmogenic risk using machine learning

Published in Biophysical journal, 2020

Recommended citation: Francisco Sahli-Costabal and Kinya Seo and Euan Ashley and Ellen Kuhl. (2020). "Classifying drugs by their arrhythmogenic risk using machine learning." Biophysical journal.
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Outbreak dynamics of COVID-19 in China and the United States

Published in Biomechanics and modeling in mechanobiology, 2020

Recommended citation: Mathias Peirlinck and Kevin Linka and Francisco Sahli Costabal and Ellen Kuhl. (2020). "Outbreak dynamics of COVID-19 in China and the United States." Biomechanics and modeling in mechanobiology.
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Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions

Published in Computer methods in biomechanics and biomedical engineering, 2020

Recommended citation: Kevin Linka and Mathias Peirlinck and Francisco Sahli Costabal and Ellen Kuhl. (2020). "Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions." Computer methods in biomechanics and biomedical engineering.
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Physics-informed neural networks for cardiac activation mapping

Published in Frontiers in Physics, 2020

Recommended citation: Francisco Sahli Costabal and Yibo Yang and Paris Perdikaris and Daniel E Hurtado and Ellen Kuhl. (2020). "Physics-informed neural networks for cardiac activation mapping." Frontiers in Physics.
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Visualizing the invisible: The effect of asymptomatic transmission on the outbreak dynamics of COVID-19

Published in Computer Methods in Applied Mechanics and Engineering, 2020

Recommended citation: Mathias Peirlinck and Kevin Linka and Francisco Sahli Costabal and Jay Bhattacharya and Eran Bendavid and John PA Ioannidis and Ellen Kuhl. (2020). "Visualizing the invisible: The effect of asymptomatic transmission on the outbreak dynamics of COVID-19." Computer Methods in Applied Mechanics and Engineering.
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COVID-19 dynamics across the US: A deep learning study of human mobility and social behavior

Published in Computer Methods in Applied Mechanics and Engineering, 2021

Recommended citation: Mohamed Aziz Bhouri and Francisco Sahli Costabal and Hanwen Wang and Kevin Linka and Mathias Peirlinck and Ellen Kuhl and Paris Perdikaris. (2021). "COVID-19 dynamics across the US: A deep learning study of human mobility and social behavior." Computer Methods in Applied Mechanics and Engineering.
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Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks

Published in Working Paper, 2021

Recommended citation: Thomas Grandits and Simone Pezzuto and Francisco Sahli Costabal and Paris Perdikaris and Thomas Pock and Gernot Plank and Rolf Krause. (2021). "Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks." Working Paper.
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Precision medicine in human heart modeling: Perspectives, challenges, and opportunities

Published in Working Paper, 2021

Recommended citation: M Peirlinck and F Sahli Costabal and J Yao and JM Guccione and S Tripathy and Y Wang and D Ozturk and P Segars and TM Morrison and S Levine and E Kuhl. (2021). "Precision medicine in human heart modeling: Perspectives, challenges, and opportunities." Working Paper.
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Sex differences in drug-induced arrhythmogenesis

Published in Frontiers in Physiology, 2021

Recommended citation: Mathias Peirlinck and Francisco Sahli Costabal and Ellen Kuhl. (2021). "Sex differences in drug-induced arrhythmogenesis." Frontiers in Physiology.
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Dassault systèmes’ living heart project

Published in Working Paper, 2022

Recommended citation: Steven Levine and Tom Battisti and Björn Butz and Karl D’Souza and Francisco Sahli Costabal and Mathias Peirlinck. (2022). "Dassault systèmes’ living heart project." Working Paper.
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Data-driven tissue mechanics with polyconvex neural ordinary differential equations

Published in Computer Methods in Applied Mechanics and Engineering, 2022

Recommended citation: Vahidullah Tac and Francisco Sahli Costabal and Adrian B Tepole. (2022). "Data-driven tissue mechanics with polyconvex neural ordinary differential equations." Computer Methods in Applied Mechanics and Engineering.
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Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification

Published in Frontiers in physiology, 2022

Recommended citation: Lia Gander and Simone Pezzuto and Ali Gharaviri and Rolf Krause and Paris Perdikaris and Francisco Sahli Costabal. (2022). "Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification." Frontiers in physiology.
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How drugs modulate the performance of the human heart

Published in Computational Mechanics, 2022

Recommended citation: Mathias Peirlinck and Jiang Yao and F Sahli Costabal and Ellen Kuhl. (2022). "How drugs modulate the performance of the human heart." Computational Mechanics.
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How viscous is the beating heart? Insights from a computational study

Published in Computational mechanics, 2022

Recommended citation: Oğuz Ziya Tikenoğulları and Francisco Sahli Costabal and Jiang Yao and Alison Marsden and Ellen Kuhl. (2022). "How viscous is the beating heart? Insights from a computational study." Computational mechanics.
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Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds

Published in IFAC-PapersOnLine, 2022

Recommended citation: Simone Pezzuto and Paris Perdikaris and Francisco Sahli Costabal. (2022). "Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds." IFAC-PapersOnLine.
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Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps

Published in Engineering with Computers, 2022

Recommended citation: Carlos Ruiz Herrera and Thomas Grandits and Gernot Plank and Paris Perdikaris and Francisco Sahli Costabal and Simone Pezzuto. (2022). "Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps." Engineering with Computers.
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Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations

Published in Computer methods in applied mechanics and engineering, 2023

Recommended citation: Vahidullah Taç and Manuel K Rausch and Francisco Sahli Costabal and Adrian Buganza Tepole. (2023). "Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations." Computer methods in applied mechanics and engineering.
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Data-Driven Anisotropic Finite Viscoelasticity with Neural ODEs

Published in Working Paper, 2023

Recommended citation: Vahidullah Tac and Manuel K Rausch Francisco Sahli Costabal and Adrian Buganza Tepole. (2023). "Data-Driven Anisotropic Finite Viscoelasticity with Neural ODEs." Working Paper.
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On the accuracy of eikonal approximations in cardiac electrophysiology in the presence of fibrosis

Published in Working Paper, 2023

Recommended citation: Lia Gander and Rolf Krause and Martin Weiser and Francisco Sahli Costabal and Simone Pezzuto. (2023). "On the accuracy of eikonal approximations in cardiac electrophysiology in the presence of fibrosis." Working Paper.
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Shape of my heart: Cardiac models through learned signed distance functions

Published in arXiv preprint arXiv:2308.16568, 2023

Recommended citation: Jan Verhülsdonk and Thomas Grandits and Francisco Sahli Costabal and Thomas Pinetz and Rolf Krause and Angelo Auricchio and Gundolf Haase and Simone Pezzuto and Alexander Effland. (2023). "Shape of my heart: Cardiac models through learned signed distance functions." arXiv preprint arXiv:2308.16568.
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The fibrotic kernel signature: simulation-free prediction of atrial fibrillation

Published in Working Paper, 2023

Recommended citation: Francisco Sahli Costabal and Tomás Banduc and Lia Gander and Simone Pezzuto. (2023). "The fibrotic kernel signature: simulation-free prediction of atrial fibrillation." Working Paper.
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WarpPINN: Cine-MR image registration with physics-informed neural networks

Published in Medical Image Analysis, 2023

Recommended citation: Pablo Arratia López and Hernán Mella and Sergio Uribe and Daniel E Hurtado and Francisco Sahli Costabal. (2023). "WarpPINN: Cine-MR image registration with physics-informed neural networks." Medical Image Analysis.
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An eikonal model with re-excitability for fast simulations in cardiac electrophysiology

Published in arXiv preprint arXiv:2410.22583, 2024

Recommended citation: Lia Gander and Rolf Krause and Francisco Sahli Costabal and Simone Pezzuto. (2024). "An eikonal model with re-excitability for fast simulations in cardiac electrophysiology." arXiv preprint arXiv:2410.22583.
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Assessing Language Lateralization through Gray Matter Volume: Implications for Preoperative Planning in Brain Tumor Surgery

Published in Brain Sciences, 2024

Recommended citation: Daniel Solomons and Maria Rodriguez-Fernandez and Francisco Mery-Muñoz and Leonardo Arraño-Carrasco and Francisco Sahli Costabal and Carolina Mendez-Orellana. (2024). "Assessing Language Lateralization through Gray Matter Volume: Implications for Preoperative Planning in Brain Tumor Surgery." Brain Sciences.
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Benchmarking physics-informed frameworks for data-driven hyperelasticity

Published in Computational mechanics, 2024

Recommended citation: Vahidullah Taç and Kevin Linka and Francisco Sahli-Costabal and Ellen Kuhl and Adrian Buganza Tepole. (2024). "Benchmarking physics-informed frameworks for data-driven hyperelasticity." Computational mechanics.
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Machine learning modeling of lung mechanics: assessing the variability and propagation of uncertainty in respiratory-system compliance and airway resistance

Published in Computer Methods and Programs in Biomedicine, 2024

Recommended citation: José Barahona and Francisco Sahli Costabal and Daniel E Hurtado. (2024). "Machine learning modeling of lung mechanics: assessing the variability and propagation of uncertainty in respiratory-system compliance and airway resistance." Computer Methods and Programs in Biomedicine.
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One-heartbeat cine MRI with implicit neural representations reconstruction

Published in Proceedings of the 32nd Annual Meeting of the ISMRM. Singapore, 2024

Recommended citation: T Catalán and Matias Courdurier and Axel Osses and René Botnar and Francisco Sahli-Costabal and Claudia Prieto. (2024). "One-heartbeat cine MRI with implicit neural representations reconstruction." Proceedings of the 32nd Annual Meeting of the ISMRM. Singapore.
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Physics-informed neural networks for parameter estimation in blood flow models

Published in Computers in Biology and Medicine, 2024

Recommended citation: Jeremías Garay and Jocelyn Dunstan and Sergio Uribe and Francisco Sahli Costabal. (2024). "Physics-informed neural networks for parameter estimation in blood flow models." Computers in Biology and Medicine.
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Δ-PINNs: Physics-informed neural networks on complex geometries

Published in Engineering Applications of Artificial Intelligence, 2024

Recommended citation: Francisco Sahli Costabal and Simone Pezzuto and Paris Perdikaris. (2024). "Δ-PINNs: Physics-informed neural networks on complex geometries." Engineering Applications of Artificial Intelligence.
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Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations

Published in Working Paper, 2024

Recommended citation: Veronika Spieker and Hannah Eichhorn and Jonathan K Stelter and Wenqi Huang and Rickmer F Braren and Daniel Rueckert and Francisco Sahli Costabal and Kerstin Hammernik and Claudia Prieto and Dimitrios C Karampinos and Julia A Schnabel. (2024). "Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations." Working Paper.
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Understanding the dynamics of the frequency bias in neural networks

Published in arXiv preprint arXiv:2405.14957, 2024

Recommended citation: Juan Molina and Mircea Petrache and Francisco Sahli Costabal and Matías Courdurier. (2024). "Understanding the dynamics of the frequency bias in neural networks." arXiv preprint arXiv:2405.14957.
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A Fast Solver for the Complex Eikonal Equation to Initiate Cardiac Arrhythmias

Published in Working Paper, 2025

Recommended citation: Tomás Banduc and Simone Pezzuto and Francisco Sahli Costabal. (2025). "A Fast Solver for the Complex Eikonal Equation to Initiate Cardiac Arrhythmias." Working Paper.
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Ensemble learning of the atrial fibre orientation with physics‐informed neural networks

Published in The Journal of Physiology, 2025

Recommended citation: Efraín Magaña and Simone Pezzuto and Francisco Sahli Costabal. (2025). "Ensemble learning of the atrial fibre orientation with physics‐informed neural networks." The Journal of Physiology.
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Fully data-driven inverse hyperelasticity with hyper-network neural ODE fields

Published in arXiv e-prints, 2025

Recommended citation: Vahidullah Taç and Amirhossein Amiri-Hezaveh and Manuel K Rausch and Grace N Bechtel and Francisco Sahli Costabal and Adrian Buganza Tepole. (2025). "Fully data-driven inverse hyperelasticity with hyper-network neural ODE fields." arXiv e-prints.
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Generative hyperelasticity with physics-informed probabilistic diffusion fields

Published in Engineering with Computers, 2025

Recommended citation: Vahidullah Taç and Manuel K Rausch and Ilias Bilionis and Francisco Sahli Costabal and Adrian Buganza Tepole. (2025). "Generative hyperelasticity with physics-informed probabilistic diffusion fields." Engineering with Computers.
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Learning the Fiber Orientation of the Right Ventricle from a Single Electroanatomical Map with Physics-Informed Neural Networks

Published in Working Paper, 2025

Recommended citation: Maedeh Chatraie and Efraín Magaña and Peyman Shariatpanahi and Bahram Goliaei and Francisco Sahli Costabal. (2025). "Learning the Fiber Orientation of the Right Ventricle from a Single Electroanatomical Map with Physics-Informed Neural Networks." Working Paper.
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Multi-fidelity Bayesian optimization of shear-wall building costs

Published in Engineering with Computers, 2025

Recommended citation: Felipe Concha and Paris Perdikaris and Francisco Sahli Costabal. (2025). "Multi-fidelity Bayesian optimization of shear-wall building costs." Engineering with Computers.
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PISCO: Self-supervised k-space regularization for improved neural implicit k-space representations of dynamic MRI

Published in arXiv preprint arXiv:2501.09403, 2025

Recommended citation: Veronika Spieker and Hannah Eichhorn and Wenqi Huang and Jonathan K Stelter and Tabita Catalan and Rickmer F Braren and Daniel Rueckert and Francisco Sahli Costabal and Kerstin Hammernik and Dimitrios C Karampinos and Claudia Prieto and Julia A Schnabel. (2025). "PISCO: Self-supervised k-space regularization for improved neural implicit k-space representations of dynamic MRI." arXiv preprint arXiv:2501.09403.
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-PoIssoNN: Learning Atrial Activation Map from the ECG with Physics-Informed Neural Networks

Published in Working Paper, 2025

Recommended citation: Efraín Magaña and Elena Zappon and Gernot Plank and Simone Pezzuto and Francisco Sahli Costabal. (2025). "-PoIssoNN: Learning Atrial Activation Map from the ECG with Physics-Informed Neural Networks." Working Paper.
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Probabilistic learning of the Purkinje network from the electrocardiogram

Published in Medical Image Analysis, 2025

Recommended citation: Felipe Álvarez-Barrientos and Mariana Salinas-Camus and Simone Pezzuto and Francisco Sahli Costabal. (2025). "Probabilistic learning of the Purkinje network from the electrocardiogram." Medical Image Analysis.
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Right hemisphere engagement in language abilities in older adults: indication of compensation rather than decline

Published in Frontiers in Aging, 2025

Recommended citation: Daniel Solomons and Maria Rodriguez-Fernandez and Francisco Mery-Muñoz and Leonardo Arraño-Carrasco and David Toloza-Ramirez and Francisco Sahli-Costabal and Carolina Mendez-Orellana. (2025). "Right hemisphere engagement in language abilities in older adults: indication of compensation rather than decline." Frontiers in Aging.
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Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature

Published in Medical Image Analysis, 2025

Recommended citation: Tomás Banduc and Luca Azzolin and Martin Manninger and Daniel Scherr and Gernot Plank and Simone Pezzuto and Francisco Sahli Costabal. (2025). "Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature." Medical Image Analysis.
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Unsupervised reconstruction of accelerated cardiac cine MRI using neural fields

Published in Computers in Biology and Medicine, 2025

Recommended citation: Tabita Catalán and Matías Courdurier and Axel Osses and Anastasia Fotaki and René Botnar and Francisco Sahli-Costabal and Claudia Prieto. (2025). "Unsupervised reconstruction of accelerated cardiac cine MRI using neural fields." Computers in Biology and Medicine.
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WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks

Published in arXiv preprint arXiv:2509.08872, 2025

Recommended citation: Felipe Álvarez Barrientos and Tomás Banduc and Isabeau Sirven and Francisco Sahli Costabal. (2025). "WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks." arXiv preprint arXiv:2509.08872.
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Convolutional neural networks for tsunami intensity measure prediction from slip and coseismic deformation data

Published in Engineering Applications of Artificial Intelligence, 2026

Recommended citation: AM Buenrostro and JGF Crempien and R Jünemann and A Urrutia and F Sahli Costabal and J Delpiano. (2026). "Convolutional neural networks for tsunami intensity measure prediction from slip and coseismic deformation data." Engineering Applications of Artificial Intelligence.
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Fully data-driven inverse characterization of heterogeneous materials with hyper-network neural ODEs

Published in npj Computational Materials, 2026

Recommended citation: Vahidullah Taç and Amirhossein Amiri-Hezaveh and Grace N Bechtel and Titus Loftin and Manuel K Rausch and Francisco Sahli Costabal and Adrian Buganza Tepole. (2026). "Fully data-driven inverse characterization of heterogeneous materials with hyper-network neural ODEs." npj Computational Materials.
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Image velocimetry using direct displacement field estimation with neural networks for fluids

Published in Engineering with Computers, 2026

Recommended citation: Efraín Magaña and Francisco Sahli Costabal and Wernher Brevis. (2026). "Image velocimetry using direct displacement field estimation with neural networks for fluids." Engineering with Computers.
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Optimizing the dynamics of the frequency bias in Fourier features neural networks

Published in Neurocomputing, 2026

Recommended citation: Juan Molina and Mircea Petrache and Francisco Sahli Costabal and Matías Courdurier. (2026). "Optimizing the dynamics of the frequency bias in Fourier features neural networks." Neurocomputing.
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Probabilistic Calibration of a Closed-loop Cardiac Electromechanical Model with Application to Cardiac Resynchronization Therapy

Published in Working Paper, 2026

Recommended citation: Ester Bergantin and Federica Caforio and Francisco Sahli Costabal and Christoph M Augustin and Simone Pezzuto. (2026). "Probabilistic Calibration of a Closed-loop Cardiac Electromechanical Model with Application to Cardiac Resynchronization Therapy." Working Paper.
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Time-dependent Deep Image Prior for TR-resolved cine MRI at 0.55 T

Published in Journal of Cardiovascular Magnetic Resonance, 2026

Recommended citation: Tabita Catalán and Claudia Prieto and Rene Botnar and Francisco Sahli Costabal. (2026). "Time-dependent Deep Image Prior for TR-resolved cine MRI at 0.55 T." Journal of Cardiovascular Magnetic Resonance.
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Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods

Published in arXiv preprint arXiv:2605.07987, 2026

Recommended citation: Jan Verhülsdonk and Thomas Grandits and Francisco Sahli Costabal and Thomas Beiert and Simone Pezzuto and Alexander Effland. (2026). "Uncertainty Quantification for Cardiac Shape Reconstruction with Deep Signed Distance Functions via MCMC methods." arXiv preprint arXiv:2605.07987.
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WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks

Published in Engineering with Computers, 2026

Recommended citation: Felipe Álvarez-Barrientos and Tomás Banduc and Isabeau Sirven and Francisco Sahli Costabal. (2026). "WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks." Engineering with Computers.
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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