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Pajaziti, Endrit
19
results:
Search for persons
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Format
Online (19)
Mediatypes
Articles (Online) (8)
OpenAccess-fulltext (11)
Sorted by: Year
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1
Vhearts: Moving from 3D Print Models to Virtual Reality for..:
Capelli, Claudio
;
Cook, Andrew
;
Pajaziti, Endrit
.
Journal of Cardiovascular Magnetic Resonance. 26 (2024) - p. 100135 , 2024
Link:
https://doi.org/10.1016/..
?
2
Image2Flow: A proof-of-concept hybrid image and graph convo..:
Yao, Tina
;
Pajaziti, Endrit
;
Quail, Michael
...
PLOS Computational Biology. 20 (2024) 6 - p. e1012231 , 2024
Link:
https://doi.org/10.1371/..
?
3
image2flow: Fast Calculation of Pulmonary Artery Flow Field..:
Yao, Tina
;
Pajaziti, Endrit
;
Quail, Michael
..
Journal of Cardiovascular Magnetic Resonance. 26 (2024) - p. 100986 , 2024
Link:
https://doi.org/10.1016/..
?
4
Shape-driven deep neural networks for fast acquisition of a..:
Pajaziti, Endrit
;
Montalt-Tordera, Javier
;
Capelli, Claudio
...
PLOS Computational Biology. 19 (2023) 4 - p. e1011055 , 2023
Link:
https://doi.org/10.1371/..
?
5
Shape-driven deep neural networks for fast acquisition of a..:
Endrit Pajaziti
;
Javier Montalt-Tordera
;
Claudio Capelli
...
https://doi.org/10.1371/journal.pcbi.1011055. , 2023
Link:
https://doi.org/10.1371/..
?
6
Shape-driven deep neural networks for fast acquisition of a..:
Pajaziti, Endrit
;
Montalt-Tordera, Javier
;
Capelli, Claudio
...
https://discovery.ucl.ac.uk/id/eprint/10168990/1/journal.pcbi.1011055.pdf. , 2023
Link:
https://discovery.ucl.ac..
?
7
Translating computational modelling tools for clinical prac..:
Pajaziti, Endrit
https://discovery.ucl.ac.uk/id/eprint/10172893/2/PhD_Thesis_EP.pdf. , 2023
Link:
https://discovery.ucl.ac..
?
8
Automatic segmentation of the great arteries for computatio..:
Montalt-Tordera, Javier
;
Pajaziti, Endrit
;
Jones, Rod
...
Journal of Cardiovascular Magnetic Resonance. 24 (2022) 1 - p. 57 , 2022
Link:
https://doi.org/10.1186/..
?
9
Investigating the Feasibility of Virtual Reality for Teachi..:
Pajaziti, Endrit
;
Milano, Elena Giulia
;
Schievano, Silvia
..
European Journal of Vascular and Endovascular Surgery. 63 (2022) 2 - p. e42 , 2022
Link:
https://doi.org/10.1016/..
?
10
Automatic segmentation of the great arteries for computatio..:
Javier Montalt-Tordera
;
Endrit Pajaziti
;
Rod Jones
...
https://doi.org/10.1186/s12968-022-00891-z. , 2022
Link:
https://doi.org/10.1186/..
?
11
Deep neural networks for fast acquisition of aortic 3D pres..:
Pajaziti, Endrit
;
Montalt-Tordera, Javier
;
Capelli, Claudio
...
http://arxiv.org/abs/2208.12156. , 2022
Link:
http://arxiv.org/abs/220..
?
12
Automatic segmentation of the great arteries for computatio..:
Montalt-Tordera, Javier
;
Pajaziti, Endrit
;
Jones, Rod
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639271/. , 2022
Link:
http://www.ncbi.nlm.nih...
?
13
Automatic segmentation of the great arteries for computatio..:
Montalt-Tordera, Javier
;
Pajaziti, Endrit
;
Jones, Rod
...
https://discovery.ucl.ac.uk/id/eprint/10158866/1/s12968-022-00891-z.pdf. , 2022
Link:
https://discovery.ucl.ac..
?
14
Automatic Segmentation of the Great Arteries for Computatio..:
Montalt-Tordera, Javier
;
Pajaziti, Endrit
;
Jones, Rod
...
http://arxiv.org/abs/2209.06117. , 2022
Link:
http://arxiv.org/abs/220..
?
15
Enhanced 3D visualization for planning biventricular repair..:
Milano, Elena Giulia
;
Kostolny, Martin
;
Pajaziti, Endrit
...
European Heart Journal - Digital Health. 2 (2021) 4 - p. 667-675 , 2021
Link:
https://doi.org/10.1093/..
1-15