Research output per year
Research output per year
Personal profile
Research
My main research focus is on developing deep learning methods for improving and accelerating cardiovascular magnetic resonance (CMR) imaging.
My specific research goals include improving, accelerating, and facilitating new CMR methods, including exercise CMR, through deep learning-based methods for motion detection, segmentation, and reconstruction. My research goals also include the development of new MRI pulse sequences.
Subject classification (UKÄ)
- Medical Imaging
- Computer graphics and computer vision
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Collaborations the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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On Deep Learning in Cardiovascular Magnetic Resonance Imaging
Åkesson, J., 2025 Sept 22, Lund: Department of Biomedical Engineering, Lund university. 171 p.Research output: Thesis › Doctoral Thesis (compilation)
Open AccessFile50 Downloads (Pure) -
Retrospectively synchronized time-resolved ventricular cine images from 2D real-time exercise cardiac magnetic resonance imaging
Åkesson, J., Edlund, J., Steding-Ehrenborg, K. & Heiberg, E., 2025 Sept, In: Clinical Physiology and Functional Imaging. 45, 5, e70027.Research output: Contribution to journal › Article › peer-review
Open Access -
Training deep learning based dynamic MR image reconstruction using open-source natural videos
Jaubert, O., Pascale, M., Montalt-Tordera, J., Akesson, J., Virsinskaite, R., Knight, D., Arridge, S., Steeden, J. & Muthurangu, V., 2024 Dec, In: Scientific Reports. 14, 1, 11774.Research output: Contribution to journal › Article › peer-review
Open Access -
Random effects during training: Implications for deep learning-based medical image segmentation
Åkesson, J., Töger, J. & Heiberg, E., 2024 Sept, In: Computers in Biology and Medicine. 180, 108944.Research output: Contribution to journal › Article › peer-review
Open Access -
Diagnostic confidence with quantitative cardiovascular magnetic resonance perfusion mapping increases with increased coverage of the left ventricle
Engblom, H., Ostenfeld, E., Carlsson, M., Åkesson, J., Aletras, A. H., Xue, H., Kellman, P. & Arheden, H., 2024, In: Journal of Cardiovascular Magnetic Resonance. 26, 1, 101007.Research output: Contribution to journal › Article › peer-review
Open Access
Projects
- 1 Active
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Deep learning methods for automating and accelerating cardiovascular magnetic resonance imaging
Åkesson, J. (Researcher)
2021/10/01 → …
Project: Dissertation