Joakim Jonsson

Kontakt

joakim.jonsson@umu.se

090-785 22 96

Verksam som

Forskare vid Institutionen för diagnostik och intervention Enhet: Medicinsk teknik och Radiofysik

10C, Norrlands universitetssjukhus Umeå universitet, 901 85 Umeå

Publikationer Publikationer

Local staging of de novo prostate cancer using mpMRI, PSMA-PET and PSMA-PET/mpMRI: a comparative study

EJNMMI Research, Springer Nature 2025, Vol. 15, (1)

Grefve, Josefine; Strandberg, Sara; Jonsson, Joakim; et al.

Ultra-hypofractionated radiotherapy with focal boost for high-risk localized prostate cancer (HYPO-RT-PC-boost): in silico evaluation with histological reference

Acta Oncologica, MJS Publishing 2025, Vol. 64 : 1482-1488

Nilsson, Erik; Nilsson, Anneli; Jonsson, Joakim; et al.

Histopathology-validated gross tumor volume delineations of intraprostatic lesions using PSMA-positron emission tomography/multiparametric magnetic resonance imaging

Physics and Imaging in Radiation Oncology, Elsevier 2024, Vol. 31

Grefve, Josefine; Söderkvist, Karin; Gunnlaugsson, Adalsteinn; 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.

Baseline and early response 2-[18F]FDG-PET/MRI for prediction of radiotherapy outcome in uterine cervical squamous cell carcinoma: a prospective single-center observational cohort study

EJNMMI Reports, Springer Nature 2024, Vol. 8, (1)

Strandberg, Sara; Jonsson, Joakim; Zarei, Maryam; et al.

Accuracy of gross tumour volume delineation with [68Ga]-PSMA-PET compared to histopathology for high-risk prostate cancer

Acta Oncologica, MJS Publishing, Medical Journals Sweden 2024, Vol. 63 : 503-510

Zarei, Maryam; Wallstén, Elin; Grefve, Josefine; et al.

Hyaluronic acid spacer in prostate cancer radiotherapy: dosimetric effects, spacer stability and long-term toxicity and PRO in a phase II study

Radiation Oncology, BioMed Central (BMC) 2023, Vol. 18, (1)

Björeland, Ulrika; Notstam, Kristina; Fransson, Per; 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.

The grade of individual prostate cancer lesions predicted by magnetic resonance imaging and positron emission tomography

Communications Medicine, Springer Nature 2023, Vol. 3, (1)

Nilsson, Erik; Sandgren, Kristina; Grefve, Josefine; et al.

Histopathology-validated lesion detection rates of clinically significant prostate cancer with mpMRI, [⁶⁸Ga]PSMA-11-PET and [¹¹C]Acetate-PET

Nuclear medicine communications, Lippincott Williams & Wilkins 2023, Vol. 44, (11) : 997-1004

Sandgren, Kristina; Strandberg, Sara; Jonsson, Joakim; et al.

Reproducibility of the methods in medical imaging with deep learning

Medical imaging with deep learning 2023, ML Research Press 2023 : 95-106

Simkó, Attila; Garpebring, Anders; Jonsson, Joakim; 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.

MRI bias field correction with an implicitly trained CNN

Proceedings of the 5th international conference on medical imaging with deep learning, ML Research Press 2022 : 1125-1138

Simkó, Attila; Löfstedt, Tommy; Garpebring, Anders; et al.

Impact of neoadjuvant androgen deprivation therapy on magnetic resonance imaging features in prostate cancer before radiotherapy

Physics and Imaging in Radiation Oncology, Elsevier 2021, Vol. 17 : 117-123

Björeland, Ulrika; Nyholm, Tufve; Jonsson, Joakim; et al.

Registration of histopathology to magnetic resonance imaging of prostate cancer

Physics and Imaging in Radiation Oncology, Elsevier 2021, Vol. 18 : 19-25

Sandgren, Kristina; Nilsson, Erik; Keeratijarut Lindberg, Angsana; et al.

Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning

Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR, Lübeck University; Hamburg University of Technology 2021 : 713-727

Simkó, Attila; Löfstedt, Tommy; Garpebring, Anders; et al.

Dosimetric effects of adaptive prostate cancer radiotherapy in an MR-linac workflow

Radiation Oncology, BioMed Central 2020, Vol. 15, (1)

Mannerberg, Annika; Persson, Emilia; Jonsson, Joakim; et al.

Improved PET/MRI attenuation correction in the pelvic region using a statistical decomposition method on T2-weighted images

EJNMMI Physics, Springer 2020, Vol. 7, (1)

Wallstén, Elin; Axelsson, Jan; Jonsson, Joakim; 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.

The rationale for MR-only treatment planning for external radiotherapy

Clinical and Translational Radiation Oncology, Elsevier 2019, Vol. 18 : 60-65

Jonsson, Joakim; Nyholm, Tufve; Söderkvist, Karin

Radiation dosimetry of [Ga-68]PSMA-11 in low-risk prostate cancer patients

EJNMMI Physics, Springer 2019, Vol. 6

Sandgren, Kristina; Johansson, Lennart; Axelsson, Jan; et al.

Imaging for the Detection of Locoregional Recurrences in Biochemical Progression After Radical Prostatectomy: A Systematic Review

European Urology Focus, Elsevier 2019, Vol. 5, (4) : 550-560

Sandgren, Kristina; Westerlinck, Philippe; Jonsson, Joakim; et al.

PET/MRI attenuation correction in the pelvic region with a statistical decomposition method

European Journal of Nuclear Medicine and Molecular Imaging, Springer 2019, Vol. 46, (SUPPL 1) : S289-S290

Wallstén, Elin; Axelsson, Jan; Jonsson, Joakim; et al.

Early changes in multiparametric imaging parameters during radiotherapy of squamous carcinoma

Radiotherapy and Oncology, Elsevier 2019, Vol. 132 : 63-63

Zborayova, Katarina; Antti, Henrik; Blomqvist, L.; 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.

Inter-fraction movements of the prostate and pelvic lymph nodes during IGRT

Journal of radiation oncology, Springer 2018, Vol. 7, (4) : 357-366

Björeland, Ulrika; Jonsson, Joakim; Alm, Magnus; et al.

Technical note: adapting a GE SIGNA PET/MR scanner for radiotherapy

Medical physics (Lancaster), Wiley-Blackwell Publishing Inc. 2018, Vol. 45, (8) : 3546-3550

Brynolfsson, Patrik; Axelsson, Jan; Holmberg, August; 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.

Different methods of creating pseudo-CT images

Radiotherapy and Oncology, Elsevier 2018, Vol. 127 : S349-S349

Jonsson, Joakim

MR and CT data with multiobserver delineations of organs in the pelvic area: Part of the Gold Atlas project

Medical physics (Lancaster), John Wiley & Sons 2018, Vol. 45, (3) : 1295-1300

Nyholm, Tufve; Svensson, Stina; Andersson, Sebastian; et al.

Histology correlation of in vivo [68Ga]PSMA-PET/MRI data of the prostate

Radiotherapy and Oncology, Elsevier 2018, Vol. 127 : S541-S541

Sandgren, Kristina; Jonsson, Joakim; Nyholm, Tufve; 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.

MR-OPERA: a multicenter/multivendor validation of magnetic resonance imaging–only prostate treatment planning using synthetic computed tomography images

International Journal of Radiation Oncology, Biology, Physics, Elsevier 2017, Vol. 99, (3) : 692-700

Persson, Emilia; Gustafsson, Christian; Nordström, Fredrik; et al.

Accuracy of inverse treatment planning on substitute CT images derived from MR data for brain lesions

Radiation Oncology, Vol. 10

Jonsson, Joakim H.; Akhtari, Mohammad M.; Karlsson, Magnus G.; et al.

Technical Note: MRI only prostate radiotherapy planning using the statistical decomposition algorithm

Medical physics (Lancaster), Vol. 42, (10) : 6090-6097

Siversson, Carl; Nordström, Fredrik; Nilsson, Terese; et al.

Counterpoint: Opportunities and Challenges of a Magnetic Resonance Imaging-Only Radiotherapy Work Flow

Seminars in radiation oncology, Vol. 24, (3) : 175-180

Nyholm, Tufve; Jonsson, Joakim

Integration of MRI into the radiotherapy workflow

Umeå University medical dissertations, 1573

Jonsson, Joakim

Treatment planning of intracranial targets on MRI derived substitute CT data

Radiotherapy and Oncology, Vol. 108, (1) : 118-122

Jonsson, Joakim; Johansson, Adam; Söderström, Karin; et al.

Variability in prostate and seminal vesicle delineations defined on magnetic resonance images, a multi-observer, -center and -sequence study

Radiation Oncology, BioMed Central 2013, Vol. 8 : 126-

Nyholm, Tufve; Jonsson, Joakim; Söderström, Karin; et al.

Internal fiducial markers and susceptibility effects in MRI: simulation and measurement of spatial accuracy

International Journal of Radiation Oncology, Biology, Physics, Vol. 82, (5) : 1612-1618

Jonsson, Joakim H; Garpebring, Anders; Karlsson, Magnus G; et al.

Registration accuracy for MR images of the prostate using a subvolume based registration protocol

Radiation Oncology, Vol. 6, (1) : 73-

Jonsson, Joakim H; Brynolfsson, Patrik; Garpebring, Anders; et al.

Treatment planning using MRI data: an analysis of the dose calculation accuracy for different treatment regions

Radiation Oncology, Vol. 5 : 62-

Jonsson, Joakim H; Karlsson, Magnus G; Karlsson, Mikael; et al.

Diffusion-weighted MRI and ¹¹C-acetate-PET/CT imaging in high-risk/very high-risk prostate cancer

Björeland, Ulrika; Strandberg, Sara; Söderkvist, Karin; et al.

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