default search action
Francisco Sahli Costabal
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
- [j6]Tomás Banduc
, Luca Azzolin, Martin Manninger
Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature. Medical Image Anal. 99: 103375 (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
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
Δ-PINNs: Physics-informed neural networks on complex geometries. Eng. Appl. Artif. Intell. 127(Part B): 107324 (2024) - [c4]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 - [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
WarpPINN: Cine-MR image registration with physics-informed neural networks. Medical Image Anal. 89: 102925 (2023) - [c3]Francisco Sahli Costabal
The Fibrotic Kernel Signature: Simulation-Free Prediction of Atrial Fibrillation. FIMH 2023: 87-96 - [c2]Lia Gander, Rolf Krause
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
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
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
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
WarpPINN: Cine-MR image registration with physics-informed neural networks. CoRR abs/2211.12549 (2022) - 2021
- [c1]Thomas Grandits
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 22:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: