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Creators/Authors contains: "Samaras, Dimitris"

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  1. ; ; ( , 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
    Free, publicly-accessible full text available June 1, 2024
  2. ; ; ; ; ( , 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
    Free, publicly-accessible full text available June 1, 2024
  3. ; ; ; ; ; ( , 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
    Free, publicly-accessible full text available June 1, 2024
  4. ; ; ; ; ; ( , IEEE Conference on Computer Vision and Pattern Recognition)
    In digital pathology, the spatial context of cells is important for cell classification, cancer diagnosis and prognosis. To model such complex cell context, however, is challenging. Cells form different mixtures, lineages, clusters and holes. To model such structural patterns in a learnable fashion, we introduce several mathematical tools from spatial statistics and topological data analysis. We incorporate such structural descriptors into a deep generative model as both conditional inputs and a differentiable loss. This way, we are able to generate high quality multi-class cell layouts for the first time. We show that the topology-rich cell layouts can be used for data augmentation and improve the performance of downstream tasks such as cell classification. 
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    Free, publicly-accessible full text available June 1, 2024
  5. ; ; ( , 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV))
    Accepted Manuscript Full Text Available
  6. ; ; ( , IEEE Winter Conference on Applications of Computer Vision)
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  7. ; ; ; ; ; ( , IEEE Conference on Computer Vision and Pattern Recognition)
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  8. ; ; ; ; ; ( , Computer Vision and Pattern Recognition)
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  9. ; ; ; ; ; ; ( , Information processing in medical imaging)
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  10. ; ; ; ; ; ( , European Conference on Computer Vision)