Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network | Radiation Oncology | Full Text
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MR-PROTECT: Clinical feasibility of a prostate MRI-only radiotherapy treatment workflow and investigation of acceptance criteria | Radiation Oncology | Full Text
Investigation of the clinical inter-observer bias in prostate fiducial marker image registration between CT and MR images | Radiation Oncology | Full Text
Tensor-valued diffusion magnetic resonance imaging in a radiotherapy setting - ScienceDirect
Frontiers | Prospective Clinical Feasibility Study for MRI-Only Brain Radiotherapy
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Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network | Radiation Oncology | Full Text
Dosimetric effects of adaptive prostate cancer radiotherapy in an MR-linac workflow | Radiation Oncology | Full Text
Frontiers | Prospective Clinical Feasibility Study for MRI-Only Brain Radiotherapy
Clinical validation of a commercially available deep learning software for synthetic CT generation for brain | Radiation Oncology | Full Text
Tensor-valued diffusion magnetic resonance imaging in a radiotherapy setting - ScienceDirect
Ingvar Kamprads långa väg till framgång - IKEA Museum
Tensor-valued diffusion magnetic resonance imaging in a radiotherapy setting
Ansök om medel - Fru Berta Kamprads stiftelse
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Dosimetric effects of adaptive prostate cancer radiotherapy in an MR-linac workflow | Radiation Oncology | Full Text
MRI-only radiotherapy from an economic perspective: Can new techniques in prostate cancer treatment be cost saving? - ScienceDirect
Hem - Fru Berta Kamprads stiftelse
In English - Fru Berta Kamprads stiftelse
Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network | Radiation Oncology | Full Text
PDF) Investigation of the clinical inter-observer bias in prostate fiducial marker image registration between CT and MR images
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