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- 2022
-
Mark
Tensor-valued diffusion magnetic resonance imaging in a radiotherapy setting
(
- Contribution to journal › Article
-
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
(
- Contribution to journal › Article
- 2021
-
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
-
Mark
Volumetric modulated arc therapy dose prediction and deliverable treatment plan generation for prostate cancer patients using a densely connected deep learning model
(
- Contribution to journal › Article
- 2020
-
Mark
Development and evaluation of a deep learning based artificial intelligence for automatic identification of gold fiducial markers in an MRI-only prostate radiotherapy workflow
(
- Contribution to journal › Article
-
Mark
Dosimetric effects of adaptive prostate cancer radiotherapy in an MR-linac workflow
(
- Contribution to journal › Article
-
Mark
MRI-only based treatment with a commercial deep-learning generation method for synthetic CT of brain
(
- Contribution to conference › Abstract
- 2019
-
Mark
Target definition in radiotherapy of prostate cancer using magnetic resonance imaging only workflow
(
- Contribution to journal › Article
-
Mark
MRI-Only Radiotherapy of Prostate Cancer. Development and Evaluation of Methods to Assess Fiducial Marker Detection, Geometric Accuracy and Dosimetric Integrity.
(
- Thesis › Doctoral thesis (compilation)
- 2017
-
Mark
MR-OPERA : A Multicenter/Multivendor Validation of Magnetic Resonance Imaging-Only Prostate Treatment Planning Using Synthetic Computed Tomography Images
(
- Contribution to journal › Article
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