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- 2022
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Mark
Reconstruction of stereoscopic CTA events using deep learning with CTLearn
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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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
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Mark
Does active transport create a win-win situation for environmental and human health? The moderating effect of leisure and tourism activity
(
- Contribution to journal › Article
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Mark
Urban land use and land cover classification with interpretable machine learning – A case study using Sentinel-2 and auxiliary data
(
- Contribution to journal › Article
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Mark
Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians
(
- Contribution to journal › Article
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Mark
Polyp Segmentation of Colonoscopy Images by Exploring the Uncertain Areas
(
- Contribution to journal › Article
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Mark
Data-Efficient Learning of Semantic Segmentation
(
- Thesis › Doctoral thesis (compilation)
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Mark
Analysis of a deep learning-based method for generation of SPECT projections based on a large Monte Carlo simulated dataset
(
- Contribution to journal › Article
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Mark
Computer Vision for Automated Traffic Safety Assessment : A Machine Learning Approach
2022)(
- Thesis › Doctoral thesis (compilation)
-
Mark
Accurately Identifying Coronary Atherosclerotic Heart Disease through Merged Beats of Electrocardiogram
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding