E-LIB Suche - Ergebnisse für: Ferez, Xabier Morales

1

Feasibility of 4D Flow Cardiac Magnetic Resonance Imaging f..:

Ferez, Xabier Morales ; Cepas-Guillén, Pedro ; Casademunt, Paula...
JACC: Cardiovascular Interventions. , 2024

Link: https://doi.org/10.1016/..

2

Domain Adaptation for Automatic Aorta Segmentation of 4D Fl..:

, In: Functional Imaging and Modeling of the Heart; Lecture Notes in Computer Science,

Aviles, Jordina ; Talou, Gonzalo D. Maso ; Camara, Oscar... - p. 112-121 , 2021

Link: https://doi.org/10.1007/..

3

Geometrical Deep Learning for the Estimation of Residence T..:

, In: Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers; Lecture Notes in Computer Science,

Cañadas Gómez, Daniel ; Morales Ferez, Xabier ; Camara Rey, Oscar - p. 211-220 , 2022

Link: https://doi.org/10.1007/..

4

Machine learning for the automatic assessment of aortic rot..:

Garrido-Oliver, Juan ; Aviles, Jordina ; Córdova, Marcos Mejía...
European Radiology. 32 (2022) 10 - p. 7117-7127 , 2022

Link: https://doi.org/10.1007/..

5

Deep Learning Framework for Real-Time Estimation of in-sili..:

Morales Ferez, Xabier ; Mill, Jordi ; Juhl, Kristine Aavild...
Frontiers in Physiology. 12 (2021) - p. , 2021

Link: https://doi.org/10.3389/..

6

Deep Learning Framework for Real-Time Estimation of in-sili..:

Xabier Morales Ferez ; Jordi Mill ; Kristine Aavild Juhl...
https://www.frontiersin.org/articles/10.3389/fphys.2021.694945/full. , 2021

Link: https://doi.org/10.3389/..

7

Deep Learning Framework for Real-Time Estimation of in-sili..:

Morales Ferez, Xabier ; Mill, Jordi ; Juhl, Kristine Aavild...
https://orbit.dtu.dk/en/publications/eb2e1287-230a-4ebc-ab1b-6f54b77d9e87. , 2021

Link: https://orbit.dtu.dk/en/..

8

Data_Sheet_1_Deep Learning Framework for Real-Time Estimati..:

Xabier Morales Ferez ; Jordi Mill ; Kristine Aavild Juhl...
doi:10.3389/fphys.2021.694945.s001. , 2021

Link: https://doi.org/10.3389/..

9

Deep Learning Framework for Real-Time Estimation of in-sili..:

Morales Ferez, Xabier ; Mill, Jordi ; Juhl, Kristine Aavild...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8274486/. , 2021

Link: http://www.ncbi.nlm.nih...

10

Sensitivity analysis of in silico fluid simulations to pred..:

Mill, Jordi ; Agudelo, Victor ; Olivares Miyares, Andy Luis...
Mathematics. 2021;9:2304.. ,

Link: http://hdl.handle.net/10..

11

Deep learning surrogate of computational fluid dynamics for..:

Morales Ferez, Xabier
http://hdl.handle.net/10230/42968. ,

Link: http://hdl.handle.net/10..

12

Deep learning framework for real-time estimation of in-sili..:

Morales Ferez, Xabier ; Mill, Jordi ; Juhl, Kristine Aavild...
Frontiers in physiology. 2021;12:694945.. ,

Link: http://hdl.handle.net/10..

13

Data_Sheet_1_Deep Learning Framework for Real-Time Estimati..:

Xabier Morales Ferez (11036517) ; Jordi Mill (6498464) ; Kristine Aavild Juhl (11036520)...
https://figshare.com/articles/dataset/Data_Sheet_1_Deep_Learning_Framework_for_Real-Time_Estimation_of_in-silico_Thrombotic_Risk_Indices_in_the_Left_Atrial_Appendage_PDF/14866266. , 2021

Link: https://doi.org/10.3389/..

14

Left atrial haemodynamic evaluation using 4D flow cardiac m..:

Morales Ferez, X ; Elsayed, A ; Zhao, D...
European Heart Journal. 44 (2023) Supplement_2 - p. , 2023

Link: https://doi.org/10.1093/..

15

4D flow magnetic resonance imaging to assess left atrial ha..:

Morales Ferez, X ; Mill, J ; Delso, G...
European Heart Journal - Cardiovascular Imaging. 22 (2021) Supplement_1 - p. , 2021

Link: https://doi.org/10.1093/..