Determinants of ascending aortic morphology: cross-sectional deep learning-based analysis on 25 073 non-contrast-enhanced NAKO MRI studies.

Fay L, Hepp T, Winkelmann MT, Peters A, Heier M, Niendorf T, Pischon T, Endemann B, Schulz-Menger J, Krist L, Schulze MB, Mikolajczyk R, Wienke A, Obi N, Silenou BC, Lange B, Kauczor HU, Lieb W, Baurecht H, Leitzmann M, Trares K, Brenner H, Michels KB, Jaskulski S, Völzke H, Nikolaou K, Schlett CL, Bamberg F, Lescan M, Yang B, Küstner T, Gatidis S

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DOI: 10.1093/ehjci/jeaf081
Published: 2025 Apr 30
Container: European heart journal. Cardiovascular Imaging
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/ehjci/jeaf081,
  title = {Determinants of ascending aortic morphology: cross-sectional deep learning-based analysis on 25 073 non-contrast-enhanced NAKO MRI studies.},
  author = {Fay L and Hepp T and Winkelmann MT and Peters A and Heier M and Niendorf T and Pischon T and Endemann B and Schulz-Menger J and Krist L and Schulze MB and Mikolajczyk R and Wienke A and Obi N and Silenou BC and Lange B and Kauczor HU and Lieb W and Baurecht H and Leitzmann M and Trares K and Brenner H and Michels KB and Jaskulski S and Völzke H and Nikolaou K and Schlett CL and Bamberg F and Lescan M and Yang B and Küstner T and Gatidis S},
  year = {2025},
  journal = {European heart journal. Cardiovascular Imaging},
  doi = {10.1093/ehjci/jeaf081},
  url = {https://doi.org/10.1093/ehjci/jeaf081}
}

RIS

TY  - JOUR
TI  - Determinants of ascending aortic morphology: cross-sectional deep learning-based analysis on 25 073 non-contrast-enhanced NAKO MRI studies.
AU  - Fay L
AU  - Hepp T
AU  - Winkelmann MT
AU  - Peters A
AU  - Heier M
AU  - Niendorf T
AU  - Pischon T
AU  - Endemann B
AU  - Schulz-Menger J
AU  - Krist L
AU  - Schulze MB
AU  - Mikolajczyk R
AU  - Wienke A
AU  - Obi N
AU  - Silenou BC
AU  - Lange B
AU  - Kauczor HU
AU  - Lieb W
AU  - Baurecht H
AU  - Leitzmann M
AU  - Trares K
AU  - Brenner H
AU  - Michels KB
AU  - Jaskulski S
AU  - Völzke H
AU  - Nikolaou K
AU  - Schlett CL
AU  - Bamberg F
AU  - Lescan M
AU  - Yang B
AU  - Küstner T
AU  - Gatidis S
PY  - 2025
JO  - European heart journal. Cardiovascular Imaging
DO  - 10.1093/ehjci/jeaf081
UR  - https://doi.org/10.1093/ehjci/jeaf081
ER  -

APA

L, F., T, H., MT, W., A, P., M, H., T, N., T, P., B, E., J, S., L, K., MB, S., R, M., A, W., N, O., BC, S., B, L., HU, K., W, L., H, B., M, L., K, T., H, B., KB, M., S, J., H, V., K, N., CL, S., F, B., M, L., B, Y., T, K., & S, G. (2025). Determinants of ascending aortic morphology: cross-sectional deep learning-based analysis on 25 073 non-contrast-enhanced NAKO MRI studies.. European heart journal. Cardiovascular Imaging. https://doi.org/10.1093/ehjci/jeaf081

Source records

pubmed · retrieved 2026-09-26T14:12:42.595Z