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- 2024
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Mark
Evaluation of a deep learning magnetic resonance imaging reconstruction method for synthetic computed tomography generation in prostate radiotherapy
(
- Contribution to journal › Article
- 2023
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Mark
Deep learning-based classification of organs at risk and delineation guideline in pelvic cancer radiation therapy
(
- Contribution to journal › Article
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Mark
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 cancer
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- Contribution to journal › Article
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Mark
MRI-only radiotherapy from an economic perspective : Can new techniques in prostate cancer treatment be cost saving?
(
- Contribution to journal › Article
- 2022
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Mark
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
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- Contribution to journal › Article
- 2021
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Mark
Sarcopenia and dosimetric parameters in relation to treatment-related leukopenia and survival in anal cancer
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- Contribution to journal › Article
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Mark
Deep learning-based classification and structure name standardization for organ at risk and target delineations in prostate cancer radiotherapy
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- Contribution to journal › Article
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Mark
Patterns of pathologic lymph nodes in anal cancer : a PET-CT-based analysis with implications for radiotherapy treatment volumes
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- Contribution to journal › Article
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Mark
A deeply supervised convolutional neural network ensemble for multilabel segmentation of pelvic OARs
2021) European Society Radiation Oncology 2021 In Radiotherapy and Oncology 161(Suppl 1). p.1417-1418(
- Contribution to journal › Published meeting abstract
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Mark
Investigation of the clinical inter-observer bias in prostate fiducial marker image registration between CT and MR images
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- Contribution to journal › Article