Uncertainty, robustness and safety in artificial intelligence, with applications in healthcare
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| Award date | 27-09-2022 |
| Number of pages | 83 |
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| Abstract | My thesis includes 4 independent chapters, and their topics are novel uncertainty quantification methods for medical image segmentation and reconstruction, a robust deep model for survival analysis, and a novel gray box adversarial defense. The thesis has a mix of theoretical and empirical results, and contains two applications in healthcare, which are medical image analysis and survival analysis. |
| Document type | PhD thesis |
| Language | English |
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