Julius Åkesson

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2024
Mark Diagnostic confidence with quantitative cardiovascular magnetic resonance perfusion mapping increases with increased coverage of the left ventricle
Engblom, Henrik ^LU ; Ostenfeld, Ellen ^LU ; Carlsson, Marcus ^LU ; Åkesson, Julius ^LU ; Aletras, Anthony H. ^LU ; Xue, Hui ; Kellman, Peter ^LU and Arheden, Håkan ^LU (2024) In Journal of Cardiovascular Magnetic Resonance 26(1).
- Contribution to journal › Article
Mark Random effects during training : Implications for deep learning-based medical image segmentation
Åkesson, Julius ^LU ; Töger, Johannes ^LU and Heiberg, Einar ^LU (2024) In Computers in Biology and Medicine 180.
- Contribution to journal › Article
Mark Training deep learning based dynamic MR image reconstruction using open-source natural videos
Jaubert, Olivier ; Pascale, Michele ; Montalt-Tordera, Javier ; Akesson, Julius ^LU ; Virsinskaite, Ruta ; Knight, Daniel ; Arridge, Simon ; Steeden, Jennifer and Muthurangu, Vivek (2024) In Scientific Reports 14(1).
- Contribution to journal › Article
2023
Mark Deep learning can yield clinically useful right ventricular segmentations faster than fully manual analysis
Åkesson, Julius ^LU ; Ostenfeld, Ellen ^LU ; Carlsson, Marcus ^LU ; Arheden, Håkan ^LU and Heiberg, Einar ^LU (2023) In Scientific Reports 13(1).
- Contribution to journal › Article
2022
Mark Ventricular longitudinal function by cardiovascular magnetic resonance predicts cardiovascular morbidity in HFrEF patients
Berg, Jonathan ^LU ; Åkesson, Julius ^LU ; Jablonowski, Robert ^LU ; Solem, Kristian ^LU ; Heiberg, Einar ^LU ; Borgquist, Rasmus ^LU ; Arheden, Håkan ^LU and Carlsson, Marcus ^LU (2022) In ESC Heart Failure 9(4). p.2313-2324
- Contribution to journal › Article