Mikael Bylund

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Works as

Research student at Department of Diagnostics and Intervention Section: Biomedical engineering and Radiation Physics, Doctoral students

27, Norrlands universitetssjukhus Umeå universitet, 901 85 Umeå

Publications Publications

Quantitative assessment of flow between cerebrospinal and interstitial fluid compartments in humans

Proceedings of the National Academy of Sciences of the United States of America, Proceedings of the National Academy of Sciences (PNAS) 2026, Vol. 123, (18)

Wåhlin, Anders; Behndig, Sofia; Eriksson De Ryst, Johan; et al.

Towards MR contrast independent synthetic CT generation

Zeitschrift für Medizinische Physik, Elsevier 2024, Vol. 34, (2) : 270-277

Simkó, Attila; Bylund, Mikael; Jönsson, Gustav; et al.

Region of interest focused MRI to synthetic CT translation using regression and segmentation multi-task network

Physics in Medicine and Biology, Institute of Physics (IOP) 2023, Vol. 68, (19)

Kaushik, Sandeep S.; Bylund, Mikael; Cozzini, Cristina; et al.

Improving MR image quality with a multi-task model, using convolutional losses

BMC Medical Imaging, BioMed Central (BMC) 2023, Vol. 23, (1)

Simkó, Attila; Ruiter, Simone; Löfstedt, Tommy; et al.

Latent space manipulation for high-resolution medical image synthesis via the StyleGAN

Zeitschrift für Medizinische Physik, Elsevier 2020, Vol. 30, (4) : 305-314

Fetty, Lukas; Bylund, Mikael; Kuess, Peter; et al.

Bayesian non-linear regression with spatial priors for noise reduction and error estimation in quantitative MRI with an application in T1 estimation

Physics in Medicine and Biology, Institute of Physics (IOP) 2020, Vol. 65, (22)

Löfstedt, Tommy; Hellström, Max; Bylund, Mikael; et al.

Dosimetric Impact of MRI Distortions: A Study on Head and Neck Cancers

International Journal of Radiation Oncology, Biology, Physics, Elsevier 2019, Vol. 103, (4) : 994-1003

Adjeiwaah, Mary; Bylund, Mikael; Lundman, Josef A.; et al.

Quantifying the Effect of 3T Magnetic Resonance Imaging Residual System Distortions and Patient-Induced Susceptibility Distortions on Radiation Therapy Treatment Planning for Prostate Cancer

International Journal of Radiation Oncology, Biology, Physics, Elsevier 2018, Vol. 100, (2) : 317-324

Adjeiwaah, Mary; Bylund, Mikael; Lundman, Josef A.; et al.

Using deep learning to generate synthetic CTs for radiotherapy treatment planning

Radiotherapy and Oncology, Elsevier 2018, Vol. 127 : S283-S283

Bylund, Mikael; Jonsson, Joakim; Lundman, Josef; et al.

Zero TE-based pseudo-CT image conversion in the head and its application in PET/MR attenuation correction and MR-guided radiation therapy planning

Magnetic Resonance in Medicine, Wiley-Blackwell 2018, Vol. 80, (4) : 1440-1451

Wiesinger, Florian; Bylund, Mikael; Yang, Jaewon; et al.

Patient-induced susceptibility effects simulation in magnetic resonance imaging

Physics and Imaging in Radiation Oncology, Elsevier 2017, Vol. 1 : 41-45

Lundman, Josef Axel; Bylund, Mikael; Garpebring, Anders; et al.

Technical Note: Comparison between simulated and measured B₀ field maps of head and neck MRI

Adjeiwaah, Mary; Lundman, Josef A.; Garpebring, Anders; et al.

A concept for quality checks of synthetic CT and attenuation maps through B0-maps

Wallstén, Elin; Lundman, Josef; Bylund, Mikael; et al.

View publications in DiVA