Browsing NIHR Advanced Imaging by Author "Oktay, O"

Now showing items 1-3 of 3

    • Automated cardiovascular magnetic resonance image analysis with fully convolutional networks. 

      Bai, W; Sinclair, M; Tarroni, G; Oktay, O; Rajchl, M; Vaillant, G; Lee, AM; Aung, N; Lukaschuk, E; Sanghvi, MM (2018-09-14)
      BACKGROUND: Cardiovascular resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber ...

    • Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study 

      PETERSEN, SE; Robinson, R; Valindria, V; Bai, W; Oktay, O; Kainz, B; Suzuki, H; Sanghvi, M; Aung, N; Paiva, J (BioMed Central, 2019-03-14)
      Background: The trend towards large-scale studies including population imaging poses new challenges in terms of quality control (QC). This is a particular issue when automatic processing tools such as image segmentation methods ...

    • Real-Time Prediction of Segmentation Quality 

      Robinson, R; Oktay, O; Bai, W; Valindria, VV; Sanghvi, MM; Aung, N; Paiva, JM; Zemrak, F; Fung, K; Lukaschuk, E (2018-01-01)
      © 2018, Springer Nature Switzerland AG. Recent advances in deep learning based image segmentation methods have enabled real-time performance with human-level accuracy. However, occasionally even the best method fails due ...