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Mikael Bylund
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mikael.bylund@umu.se
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Anknytning
Anknuten som doktorand till
Institutionen för diagnostik och intervention
Enhet: Medicinsk teknik och Radiofysik
Plats
27, Norrlands universitetssjukhus
Umeå universitet, 901 85 Umeå
Publikationer
Publikationer
Forskning
Forskning
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
Towards MR contrast independent synthetic CT generation
Zeitschrift für Medizinische Physik
Simkó, Attila; Bylund, Mikael; Jönsson, Gustav; 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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