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Corral Acero, J
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1

Comprehensive characterization of cardiac contraction for i..:

Corral Acero, Jorge ; Lamata, Pablo ; Eitel, Ingo...
Scientific Reports.  14 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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2

A Multi-view Crossover Attention U-Net Cascade with Fourier..:

, In: Lecture Notes in Computer Science; Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge,
Beetz, Marcel ; Corral Acero, Jorge ; Grau, Vicente - p. 323-334 , 2022
Link: https://doi.org/10.1007/..
 
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3

Understanding and Improving Risk Assessment After Myocardia..:

Corral Acero, Jorge ; Schuster, Andreas ; Zacur, Ernesto...
JACC: Cardiovascular Imaging.  15 (2022)  9 - p. 1563-1574 , 2022
Link: https://doi.org/10.1016/..
 
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4

Interpretable cardiac anatomy modeling using variational me..:

Beetz, Marcel ; Corral Acero, Jorge ; Banerjee, Abhirup...
Frontiers in Cardiovascular Medicine.  9 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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5

A 2-Step Deep Learning Method with Domain Adaptation for Mu..:

, In: Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges; Lecture Notes in Computer Science,
Corral Acero, Jorge ; Sundaresan, Vaanathi ; Dinsdale, Nicola.. - p. 196-207 , 2021
Link: https://doi.org/10.1007/..
 
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6

Left Ventricle Quantification with Cardiac MRI: Deep Learni..:

, In: Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges; Lecture Notes in Computer Science,
Corral Acero, Jorge ; Xu, Hao ; Zacur, Ernesto... - p. 384-394 , 2020
Link: https://doi.org/10.1007/..
 
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7

SMOD - Data Augmentation Based on Statistical Models of Def..:

, In: Functional Imaging and Modeling of the Heart; Lecture Notes in Computer Science,
Corral Acero, Jorge ; Zacur, Ernesto ; Xu, Hao... - p. 361-369 , 2019
Link: https://doi.org/10.1007/..
 
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8

Interpretable cardiac anatomy modeling using variational me..:

Beetz, M ; Corral Acero, J ; Banerjee, A...
doi:10.3389/fcvm.2022.983868.  , 2023
Link: https://doi.org/10.3389/..
 
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9

Understanding and improving risk assessment after myocardia..:

Corral Acero, J ; Schuster, A ; Zacur, E...
doi:10.1016/j.jcmg.2021.11.027.  , 2022
Link: https://doi.org/10.1016/..
 
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10

Cardiovascular disease under the lens of automated 3D analy..:

Corral Acero, J
https://ora.ox.ac.uk/objects/uuid:a29845d4-a3e2-40d0-a855-fa4738b7fc88.  , 2022
Link: https://ora.ox.ac.uk/obj..
 
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11

A 2-step deep learning method with domain adaptation for mu..:

Corral Acero, J ; Sundaresan, V ; Dinsdale, N..
doi:10.1007/978-3-030-68107-4_20.  , 2021
Link: https://doi.org/10.1007/..
 
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12

The 'Digital Twin' to enable the vision of precision cardio..:

Corral-Acero, Jorge ; Margara, Francesca ; Marciniak, Maciej...
European Heart Journal.  41 (2020)  48 - p. 4556-4564 , 2020
Link: https://doi.org/10.1093/..
 
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13

SMOD - data augmentation based on statistical models of def..:

Corral Acero, J ; Zacur, E ; Xu, H...
doi:10.1007/978-3-030-21949-9_39.  , 2019
Link: https://doi.org/10.1007/..
 
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14

Left ventricle quantification with cardiac MRI: deep learni..:

Corral Acero, J ; Xu, H ; Zacur, E...
doi:10.1007/978-3-030-39074-7_40.  , 2019
Link: https://doi.org/10.1007/..
 
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15

Mesh U-Nets for 3D Cardiac Deformation Modeling:

, In: Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers; Lecture Notes in Computer Science,
Beetz, Marcel ; Acero, Jorge Corral ; Banerjee, Abhirup... - p. 245-257 , 2022
Link: https://doi.org/10.1007/..
 
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