Research interests

Artificial intelligence in imaging / cardiovascular:
Research is focused on development of AI methods for analysis of medical images to enable automatic patient risk profiling, diagnosis and prognosis, mainly applied to cardiovascular disease.

specialisation

Medical Image Analysis

Research output

  1. Automatic segmentation of MR brain images of preterm infants using supervised classification

    Research output: Contribution to journalArticleAcademicpeer-review

  2. Generative adversarial networks for noise reduction in low-dose CT

    Research output: Contribution to journalArticleAcademicpeer-review

  3. A deep learning framework for unsupervised affine and deformable image registration

    Research output: Contribution to journalArticleAcademicpeer-review

  4. Iterative fully convolutional neural networks for automatic vertebra segmentation and identification

    Research output: Contribution to journalArticleAcademicpeer-review

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