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- 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
- 2022
-
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