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Umeå University
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Mikael Bylund

Contact

E-mail
mikael.bylund@umu.se

Works as

Affiliation
Research student at Department of Diagnostics and Intervention Section: Biomedical engineering and Radiation Physics, Doctoral students
Location
27, Norrlands universitetssjukhus Umeå universitet, 901 85 Umeå
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