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- 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
(
- Contribution to journal › Article
- 2021
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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
- 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
- 2017
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Mark
Registration free automatic identification of gold fiducial markers in MRI target delineation images for prostate radiotherapy
(
- Contribution to journal › Article
- 2002
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Mark
Echo-planar MR imaging of dissolved hyperpolarized 129Xe : Potential for MR angiography
(
- Contribution to journal › Article
- 2000
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Mark
Image analysis methods for assessing levels of image plane nonuniformity and stochastic noise in a magnetic resonance image of a homogeneous phantom
(
- Contribution to journal › Article