Francisco Sahli Costabal

45 papers Journal 37Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Convolutional neural networks for tsunami intensity measure prediction from slip and coseismic deformation data. Eng. Appl. Artif. Intell. Angelica Monserrat Buenrostro, J. G. F. Crempien, Rosita Jünemann, Alejandro Urrutia, Francisco Sahli Costabal, José Delpiano
2026	J	`jnl`	Image velocimetry using direct displacement field estimation with neural networks for fluids. Eng. Comput. Efraín Magaña, Francisco Sahli Costabal, Wernher Brevis
2026	J	`jnl`	PISCO: Self-supervised k-space regularization for improved neural implicit k-space representations of dynamic MRI. Medical Image Anal. Veronika Spieker, Hannah Eichhorn, Wenqi Huang, Jonathan K. Stelter, Tabita Catalán, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Dimitrios C. Karampinos, Claudia Prieto, Julia A. Schnabel
2026	J	`jnl`	WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks. Eng. Comput. Felipe Álvarez-Barrientos, Tomás Banduc, Isabeau Sirven, Francisco Sahli Costabal
2025	—	`conf`	$\varDelta $-PoIssoNN: Learning Atrial Activation Map from the ECG with Physics-Informed Neural Networks. FIMH (2) Efraín Magaña, Elena Zappon, Gernot Plank, Simone Pezzuto, Francisco Sahli Costabal
2025	—	`conf`	A Fast Solver for the Complex Eikonal Equation to Initiate Cardiac Arrhythmias. FIMH (1) Tomás Banduc, Simone Pezzuto, Francisco Sahli Costabal
2025	J	`jnl`	Fully data-driven inverse hyperelasticity with hyper-network neural ODE fields. CoRR Vahidullah Tac, Amirhossein Amiri-Hezaveh, Manuel K. Rausch, Grace N. Bechtel, Francisco Sahli Costabal, Adrian Buganza Tepole
2025	J	`jnl`	Generative hyperelasticity with physics-informed probabilistic diffusion fields. Eng. Comput. Vahidullah Tac, Manuel K. Rausch, Ilias Bilionis, Francisco Sahli Costabal, Adrian Buganza Tepole
2025	J	`jnl`	Image Velocimetry using Direct Displacement Field estimation with Neural Networks for Fluids. CoRR Efraín Magaña, Francisco Sahli Costabal, Wernher Brevis
2025	—	`conf`	Learning the Fiber Orientation of the Right Ventricle from a Single Electroanatomical Map with Physics-Informed Neural Networks. FIMH (2) Maedeh Chatraie, Efraín Magaña, Peyman Shariatpanahi, Bahram Goliaei, Francisco Sahli Costabal
2025	J	`jnl`	Multi-fidelity Bayesian optimization of shear-wall building costs. Eng. Comput. Felipe Concha, Paris Perdikaris, Francisco Sahli Costabal
2025	J	`jnl`	PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI. CoRR Veronika Spieker, Hannah Eichhorn, Wenqi Huang, Jonathan K. Stelter, Tabita Catalán, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Dimitrios C. Karampinos, Claudia Prieto, Julia A. Schnabel
2025	J	`jnl`	Probabilistic learning of the Purkinje network from the electrocardiogram. Medical Image Anal. Felipe Álvarez-Barrientos, Mariana Salinas-Camus, Simone Pezzuto, Francisco Sahli Costabal
2025	J	`jnl`	Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature. Medical Image Anal. Tomás Banduc, Luca Azzolin, Martin Manninger, Daniel Scherr, Gernot Plank, Simone Pezzuto, Francisco Sahli Costabal
2025	J	`jnl`	Unsupervised reconstruction of accelerated cardiac cine MRI using neural fields. Comput. Biol. Medicine Tabita Catalán, Matias Courdurier, Axel Osses, Anastasia Fotaki, René M. Botnar, Francisco Sahli Costabal, Claudia Prieto
2025	J	`jnl`	WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks. CoRR Felipe Álvarez-Barrientos, Tomás Banduc, Isabeau Sirven, Francisco Sahli Costabal
2024	J	`jnl`	An eikonal model with re-excitability for fast simulations in cardiac electrophysiology. CoRR Lia Gander, Rolf Krause, Francisco Sahli Costabal, Simone Pezzuto
2024	J	`jnl`	Ensemble learning of the atrial fiber orientation with physics-informed neural networks. CoRR Efraín Magaña, Simone Pezzuto, Francisco Sahli Costabal
2024	J	`jnl`	Machine learning modeling of lung mechanics: Assessing the variability and propagation of uncertainty in respiratory-system compliance and airway resistance. Comput. Methods Programs Biomed. José Barahona, Francisco Sahli Costabal, Daniel E. Hurtado
2024	J	`jnl`	Physics-informed neural networks for parameter estimation in blood flow models. Comput. Biol. Medicine Jeremias Garay, Jocelyn Dunstan, Sergio Uribe, Francisco Sahli Costabal
2024	J	`jnl`	Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation. CoRR Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter, Wenqi Huang, Rickmer F. Braren, Daniel Rückert, Francisco Sahli Costabal, Kerstin Hammernik, Claudia Prieto, Dimitrios C. Karampinos, Julia A. Schnabel
2024	—	`conf`	Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations. MICCAI (7) Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter, Wenqi Huang, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Claudia Prieto, Dimitrios C. Karampinos, Julia A. Schnabel
2024	—	`conf`	Shape of my heart: Cardiac models through learned signed distance functions. MIDL Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Thomas Pinetz, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland
2024	J	`jnl`	Understanding the dynamics of the frequency bias in neural networks. CoRR Juan Molina, Mircea Petrache, Francisco Sahli Costabal, Matias Courdurier
2024	J	`jnl`	Δ-PINNs: Physics-informed neural networks on complex geometries. Eng. Appl. Artif. Intell. Francisco Sahli Costabal, Simone Pezzuto, Paris Perdikaris
2023	J	`jnl`	Benchmarks for physics-informed data-driven hyperelasticity. CoRR Vahidullah Tac, Kevin Linka, Francisco Sahli Costabal, Ellen Kuhl, Adrian Buganza Tepole
2023	J	`jnl`	Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations. CoRR Vahidullah Tac, Manuel K. Rausch, Francisco Sahli Costabal, Adrian Buganza Tepole
2023	J	`jnl`	Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion Fields. CoRR Vahidullah Tac, Manuel K. Rausch, Ilias Bilionis, Francisco Sahli Costabal, Adrian Buganza Tepole
2023	—	`conf`	On the Accuracy of Eikonal Approximations in Cardiac Electrophysiology in the Presence of Fibrosis. FIMH Lia Gander, Rolf Krause, Martin Weiser, Francisco Sahli Costabal, Simone Pezzuto
2023	J	`jnl`	Physics-informed neural networks for blood flow inverse problems. CoRR Jeremias Garay, Jocelyn Dunstan, Sergio Uribe, Francisco Sahli Costabal
2023	J	`jnl`	Probabilistic learning of the Purkinje network from the electrocardiogram. CoRR Felipe Álvarez-Barrientos, Mariana Salinas-Camus, Simone Pezzuto, Francisco Sahli Costabal
2023	J	`jnl`	Shape of my heart: Cardiac models through learned signed distance functions. CoRR Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland
2023	—	`conf`	The Fibrotic Kernel Signature: Simulation-Free Prediction of Atrial Fibrillation. FIMH Francisco Sahli Costabal, Tomás Banduc, Lia Gander, Simone Pezzuto
2023	J	`jnl`	Unsupervised reconstruction of accelerated cardiac cine MRI using Neural Fields. CoRR Tabita Catalán, Matias Courdurier, Axel Osses, René M. Botnar, Francisco Sahli Costabal, Claudia Prieto
2023	J	`jnl`	WarpPINN: Cine-MR image registration with physics-informed neural networks. Medical Image Anal. Pablo Arratia López, Hernán Mella, Sergio Uribe, Daniel E. Hurtado, Francisco Sahli Costabal
2022	J	`jnl`	Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds. CoRR Simone Pezzuto, Paris Perdikaris, Francisco Sahli Costabal
2022	J	`jnl`	Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. CoRR Carlos Ruiz Herrera, Thomas Grandits, Gernot Plank, Paris Perdikaris, Francisco Sahli Costabal, Simone Pezzuto
2022	J	`jnl`	Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. Eng. Comput. Carlos Ruiz Herrera, Thomas Grandits, Gernot Plank, Paris Perdikaris, Francisco Sahli Costabal, Simone Pezzuto
2022	J	`jnl`	WarpPINN: Cine-MR image registration with physics-informed neural networks. CoRR Pablo Arratia López, Hernán Mella, Sergio Uribe, Daniel E. Hurtado, Francisco Sahli Costabal
2022	J	`jnl`	Δ-PINNs: physics-informed neural networks on complex geometries. CoRR Francisco Sahli Costabal, Simone Pezzuto, Paris Perdikaris
2021	J	`jnl`	Automatically Polyconvex Strain Energy Functions using Neural Ordinary Differential Equations. CoRR Vahidullah Tac, Francisco Sahli Costabal, Adrian Buganza Tepole
2021	J	`jnl`	Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification. CoRR Lia Gander, Simone Pezzuto, Ali Gharaviri, Rolf Krause, Paris Perdikaris, Francisco Sahli Costabal
2021	—	`conf`	Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks. FIMH Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause
2021	J	`jnl`	Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks. CoRR Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause
2019	J	`jnl`	Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models. CoRR Francisco Sahli Costabal, Paris Perdikaris, Ellen Kuhl, Daniel E. Hurtado