CardioSynergyNet: A Closed-Loop Multi-Task Deep Learning Architecture for Cardiac Segmentation and Biomarkers with Diagnosis from Paired ED-ES Cine-MRI.

Alqahtani S

Open source

DOI
10.3390/tomography12090137
Published
2026 Sep 21
Container
Tomography (Ann Arbor, Mich.)
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.3390/tomography12090137,
  title = {CardioSynergyNet: A Closed-Loop Multi-Task Deep Learning Architecture for Cardiac Segmentation and Biomarkers with Diagnosis from Paired ED-ES Cine-MRI.},
  author = {Alqahtani S},
  year = {2026},
  journal = {Tomography (Ann Arbor, Mich.)},
  doi = {10.3390/tomography12090137},
  url = {https://doi.org/10.3390/tomography12090137}
}

RIS

TY  - JOUR
TI  - CardioSynergyNet: A Closed-Loop Multi-Task Deep Learning Architecture for Cardiac Segmentation and Biomarkers with Diagnosis from Paired ED-ES Cine-MRI.
AU  - Alqahtani S
PY  - 2026
JO  - Tomography (Ann Arbor, Mich.)
DO  - 10.3390/tomography12090137
UR  - https://doi.org/10.3390/tomography12090137
ER  - 

APA

S, A. (2026). CardioSynergyNet: A Closed-Loop Multi-Task Deep Learning Architecture for Cardiac Segmentation and Biomarkers with Diagnosis from Paired ED-ES Cine-MRI.. Tomography (Ann Arbor, Mich.). https://doi.org/10.3390/tomography12090137

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