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ORCIDFrancisco Sahli Costabal
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2020 – today
- 2025
[j9]Tabita Catalán, Matias Courdurier
, Axel Osses, Anastasia Fotaki, René M. Botnar, Francisco Sahli Costabal, Claudia Prieto:
Unsupervised reconstruction of accelerated cardiac cine MRI using neural fields. Comput. Biol. Medicine 185: 109467 (2025)- [j8]Vahidullah Tac, Manuel K. Rausch, Ilias Bilionis, Francisco Sahli Costabal, Adrian Buganza Tepole:
Generative hyperelasticity with physics-informed probabilistic diffusion fields. Eng. Comput. 41(1): 51-69 (2025) - [j7]Tomás Banduc, Luca Azzolin, Martin Manninger, Daniel Scherr, Gernot Plank, Simone Pezzuto, Francisco Sahli Costabal:
Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature. Medical Image Anal. 99: 103375 (2025) - [j6]Felipe Álvarez-Barrientos, Mariana Salinas-Camus, Simone Pezzuto, Francisco Sahli Costabal:
Probabilistic learning of the Purkinje network from the electrocardiogram. Medical Image Anal. 101: 103460 (2025) - [i21]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:
PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI. CoRR abs/2501.09403 (2025) - [i20]Efraín Magaña, Francisco Sahli Costabal, Wernher Brevis:
Image Velocimetry using Direct Displacement Field estimation with Neural Networks for Fluids. CoRR abs/2501.18641 (2025) - 2024
- [j5]Jeremias Garay, Jocelyn Dunstan, Sergio Uribe, Francisco Sahli Costabal:
Physics-informed neural networks for parameter estimation in blood flow models. Comput. Biol. Medicine 178: 108706 (2024) - [j4]José Barahona, Francisco Sahli Costabal, Daniel E. Hurtado:
Machine learning modeling of lung mechanics: Assessing the variability and propagation of uncertainty in respiratory-system compliance and airway resistance. Comput. Methods Programs Biomed. 243: 107888 (2024) - [j3]Francisco Sahli Costabal, Simone Pezzuto, Paris Perdikaris:
Δ-PINNs: Physics-informed neural networks on complex geometries. Eng. Appl. Artif. Intell. 127(Part B): 107324 (2024) - [c5]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:
Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations. MICCAI (7) 2024: 614-624 - [c4]Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Thomas Pinetz, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland:
Shape of my heart: Cardiac models through learned signed distance functions. MIDL 2024: 1584-1605 - [i19]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:
Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation. CoRR abs/2404.08350 (2024) - [i18]Juan Molina, Mircea Petrache, Francisco Sahli Costabal, Matias Courdurier:
Understanding the dynamics of the frequency bias in neural networks. CoRR abs/2405.14957 (2024) - [i17]Lia Gander, Rolf Krause, Francisco Sahli Costabal, Simone Pezzuto:
An eikonal model with re-excitability for fast simulations in cardiac electrophysiology. CoRR abs/2410.22583 (2024) - [i16]Efraín Magaña, Simone Pezzuto, Francisco Sahli Costabal:
Ensemble learning of the atrial fiber orientation with physics-informed neural networks. CoRR abs/2410.23388 (2024) - 2023
- [j2]Pablo Arratia López, Hernán Mella, Sergio Uribe, Daniel E. Hurtado, Francisco Sahli Costabal:
WarpPINN: Cine-MR image registration with physics-informed neural networks. Medical Image Anal. 89: 102925 (2023) - [c3]Francisco Sahli Costabal, Tomás Banduc, Lia Gander, Simone Pezzuto:
The Fibrotic Kernel Signature: Simulation-Free Prediction of Atrial Fibrillation. FIMH 2023: 87-96 - [c2]Lia Gander, Rolf Krause, Martin Weiser, Francisco Sahli Costabal, Simone Pezzuto:
On the Accuracy of Eikonal Approximations in Cardiac Electrophysiology in the Presence of Fibrosis. FIMH 2023: 137-146 - [i15]Vahidullah Tac, Kevin Linka, Francisco Sahli Costabal, Ellen Kuhl, Adrian Buganza Tepole:
Benchmarks for physics-informed data-driven hyperelasticity. CoRR abs/2301.10714 (2023) - [i14]Vahidullah Tac, Manuel K. Rausch, Francisco Sahli Costabal, Adrian Buganza Tepole:
Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations. CoRR abs/2302.03598 (2023) - [i13]Tabita Catalán, Matias Courdurier, Axel Osses, René M. Botnar, Francisco Sahli Costabal, Claudia Prieto:
Unsupervised reconstruction of accelerated cardiac cine MRI using Neural Fields. CoRR abs/2307.14363 (2023) - [i12]Jeremias Garay, Jocelyn Dunstan, Sergio Uribe, Francisco Sahli Costabal:
Physics-informed neural networks for blood flow inverse problems. CoRR abs/2308.00927 (2023) - [i11]Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland:
Shape of my heart: Cardiac models through learned signed distance functions. CoRR abs/2308.16568 (2023) - [i10]Vahidullah Tac, Manuel K. Rausch, Ilias Bilionis, Francisco Sahli Costabal, Adrian Buganza Tepole:
Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion Fields. CoRR abs/2310.03745 (2023) - [i9]Felipe Álvarez-Barrientos, Mariana Salinas-Camus, Simone Pezzuto, Francisco Sahli Costabal:
Probabilistic learning of the Purkinje network from the electrocardiogram. CoRR abs/2312.09887 (2023) - 2022
- [j1]Carlos Ruiz Herrera, Thomas Grandits, Gernot Plank, Paris Perdikaris, Francisco Sahli Costabal, Simone Pezzuto:
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. Eng. Comput. 38(5): 3957-3973 (2022) - [i8]Carlos Ruiz Herrera, Thomas Grandits, Gernot Plank, Paris Perdikaris, Francisco Sahli Costabal, Simone Pezzuto:
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. CoRR abs/2201.12362 (2022) - [i7]Simone Pezzuto, Paris Perdikaris, Francisco Sahli Costabal:
Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds. CoRR abs/2203.06222 (2022) - [i6]Francisco Sahli Costabal, Simone Pezzuto, Paris Perdikaris:
Δ-PINNs: physics-informed neural networks on complex geometries. CoRR abs/2209.03984 (2022) - [i5]Pablo Arratia López, Hernán Mella, Sergio Uribe, Daniel E. Hurtado, Francisco Sahli Costabal:
WarpPINN: Cine-MR image registration with physics-informed neural networks. CoRR abs/2211.12549 (2022) - 2021
- [c1]Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause:
Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks. FIMH 2021: 650-658 - [i4]Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause:
Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks. CoRR abs/2102.10863 (2021) - [i3]Vahidullah Tac, Francisco Sahli Costabal, Adrian Buganza Tepole:
Automatically Polyconvex Strain Energy Functions using Neural Ordinary Differential Equations. CoRR abs/2110.03774 (2021) - [i2]Lia Gander, Simone Pezzuto, Ali Gharaviri, Rolf Krause, Paris Perdikaris, Francisco Sahli Costabal:
Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification. CoRR abs/2112.08075 (2021)
2010 – 2019
- 2019
- [i1]Francisco Sahli Costabal, Paris Perdikaris, Ellen Kuhl, Daniel E. Hurtado:
Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models. CoRR abs/1905.03406 (2019)
Coauthor Index
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