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Journal of Applied Clinical Medical Physics|May 13, 2023
Deep learning-based classification of organs at risk and delineation guideline in pelvic cancer radiation therapyMichael Lempart, Jonas Scherman, Martin P Nilsson, et al.Frontiers in Oncology|January 27, 2022
Prospective Clinical Feasibility Study for MRI-Only Brain RadiotherapyMinna Lerner, Joakim Medin, Christian Jamtheim Gustafsson, et al.Heliyon|October 14, 2024
Enhanced classification performance using deep learning based segmentation for pulmonary embolism detection in CT angiographyAli Teymur Kahraman, Tomas Fröding, Dimitris Toumpanakis, et al.Journal of Applied Clinical Medical Physics|July 14, 2025
A semi-automated workflow for cohort-wise preparation of radiotherapy data for dose-response modeling, including autosegmentation of organs at riskLouise Mövik, Anna Bäck, Kerstin Gunnarsson, et al.Journal of Applied Clinical Medical Physics|November 14, 2025
Distance-based assessment of spatial artifact extension in the prostate from fiducial markers in diffusion-weighted magnetic resonance imagingMizgin Coskun, Patrik Brynolfsson, Christian Jamtheim Gustafsson, et al.Physics in Medicine and Biology|November 12, 2020
Development and evaluation of a deep learning based artificial intelligence for automatic identification of gold fiducial markers in an MRI-only prostate radiotherapy workflowChristian Jamtheim Gustafsson, Johan Swärd, Stefan Ingi Adalbjörnsson, et al.Physics and Imaging in Radiation Oncology|April 17, 2023
Geometric impact and dose estimation of on-patient placement of a lightweight receiver coil in a clinical magnetic resonance imaging-only radiotherapy workflow for prostate cancerJonas Scherman, Sacha Af Wetterstedt, Emilia Persson, et al.Radiation Oncology (London, England)|April 8, 2021
Clinical validation of a commercially available deep learning software for synthetic CT generation for brainMinna Lerner, Joakim Medin, Christian Jamtheim Gustafsson, et al.Radiation Oncology (London, England)|July 12, 2020
Dosimetric effects of adaptive prostate cancer radiotherapy in an MR-linac workflowAnnika Mannerberg, Emilia Persson, Joakim Jonsson, et al.Physics and Imaging in Radiation Oncology|February 28, 2024
Evaluation of a deep learning magnetic resonance imaging reconstruction method for synthetic computed tomography generation in prostate radiotherapyLars E Olsson, Sacha Af Wetterstedt, Jonas Scherman, et al.Pageof 3