Detalhe da pesquisa
1.
Fast acquisition of left and right ventricular function parameters applying cardiovascular magnetic resonance in clinical routine - validation of a 2-shot compressed sensing cine sequence.
Scand Cardiovasc J;
56(1): 266-275, 2022 12.
Artigo
em Inglês
| MEDLINE
| ID: mdl-35836407
2.
Post-hoc standardisation of parametric T1 maps in cardiovascular magnetic resonance imaging: a proof-of-concept.
EBioMedicine;
102: 105055, 2024 Apr.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38490103
3.
Multilevel comparison of deep learning models for function quantification in cardiovascular magnetic resonance: On the redundancy of architectural variations.
Front Cardiovasc Med;
10: 1118499, 2023.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37144061
4.
Introduction of a cascaded segmentation pipeline for parametric T1 mapping in cardiovascular magnetic resonance to improve segmentation performance.
Sci Rep;
13(1): 2103, 2023 02 06.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36746989
5.
Lazy Luna: Extendible software for multilevel reader comparison in cardiovascular magnetic resonance imaging.
Comput Methods Programs Biomed;
238: 107615, 2023 Aug.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37257373
6.
Introduction of Lazy Luna an automatic software-driven multilevel comparison of ventricular function quantification in cardiovascular magnetic resonance imaging.
Sci Rep;
12(1): 6629, 2022 04 22.
Artigo
em Inglês
| MEDLINE
| ID: mdl-35459270
7.
An agenda-setting paper on data sharing platforms: euCanSHare workshop.
Open Res Eur;
1: 80, 2021.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37645200