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Julius Åkesson

Showing results (1-10 of 6) with videos related to

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Computers in Biology and Medicine|August 3, 2024
Random effects during training: Implications for deep learning-based medical image segmentationJulius Åkesson, Johannes Töger, Einar Heiberg
Clinical Physiology and Functional Imaging|September 3, 2025
Retrospectively synchronized time-resolved ventricular cine images from 2D real-time exercise cardiac magnetic resonance imagingJulius Åkesson, Jonathan Edlund, Katarina Steding-Ehrenborg, et al.
Scientific Reports|January 21, 2023
Deep learning can yield clinically useful right ventricular segmentations faster than fully manual analysisJulius Åkesson, Ellen Ostenfeld, Marcus Carlsson, et al.
Journal of Applied Physiology (Bethesda, Md. : 1985)|January 27, 2026
Atrioventricular Area Difference Assessed by Exercise Cardiovascular Magnetic Resonance Shows Impaired Diastolic Filling in Heart Failure PatientsJonathan Edlund, Björn Östenson, Julius Åkesson, et al.
ESC Heart Failure|April 12, 2022
Ventricular longitudinal function by cardiovascular magnetic resonance predicts cardiovascular morbidity in HFrEF patientsJonathan Berg, Julius Åkesson, Robert Jablonowski, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|February 5, 2024
Diagnostic confidence with quantitative cardiovascular magnetic resonance perfusion mapping increases with increased coverage of the left ventricleHenrik Engblom, Ellen Ostenfeld, Marcus Carlsson, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Computers in Biology and Medicine|August 3, 2024
Random effects during training: Implications for deep learning-based medical image segmentationJulius Åkesson, Johannes Töger, Einar Heiberg
Clinical Physiology and Functional Imaging|September 3, 2025
Retrospectively synchronized time-resolved ventricular cine images from 2D real-time exercise cardiac magnetic resonance imagingJulius Åkesson, Jonathan Edlund, Katarina Steding-Ehrenborg, et al.
Scientific Reports|January 21, 2023
Deep learning can yield clinically useful right ventricular segmentations faster than fully manual analysisJulius Åkesson, Ellen Ostenfeld, Marcus Carlsson, et al.
Journal of Applied Physiology (Bethesda, Md. : 1985)|January 27, 2026
Atrioventricular Area Difference Assessed by Exercise Cardiovascular Magnetic Resonance Shows Impaired Diastolic Filling in Heart Failure PatientsJonathan Edlund, Björn Östenson, Julius Åkesson, et al.
ESC Heart Failure|April 12, 2022
Ventricular longitudinal function by cardiovascular magnetic resonance predicts cardiovascular morbidity in HFrEF patientsJonathan Berg, Julius Åkesson, Robert Jablonowski, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|February 5, 2024
Diagnostic confidence with quantitative cardiovascular magnetic resonance perfusion mapping increases with increased coverage of the left ventricleHenrik Engblom, Ellen Ostenfeld, Marcus Carlsson, et al.
Pageof 1