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Mikael Bylund
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mikael.bylund@umu.se
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Verksam vid
Anknytning
Anknuten som doktorand till
Institutionen för diagnostik och intervention
Enhet: Medicinsk teknik och Radiofysik, Doktorander
Plats
27, Norrlands universitetssjukhus
Umeå universitet, 901 85 Umeå
Publikationer
Publikationer
Forskning
Forskning
2024
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.
2023
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.
2023
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.
2020
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.
2020
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.
2019
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.
2018
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.
2018
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.
2018
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.
2017
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 B
0
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.
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