Treffer 1 - 20 von 22 für Suche 'Tsaftaris, Sotirios', Suchdauer: 0,27s Treffer weiter einschränken
  1. 1
    How Should We Create Algorithms to Do More with Less?
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  2. 2
    Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data
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  3. 3
    Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training
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  4. 4
    Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning
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  5. 5
    Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation
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  6. 6
    Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic
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  7. 7
    Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling
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  8. 8
    INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs
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  9. 9
    Disentangled Representations for Domain-Generalized Cardiac Segmentation
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  10. 10
    HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information
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  11. 11
    What is Healthy? Generative Counterfactual Diffusion for Lesion Localization
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  12. 12
    Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement
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  13. 13
    Simulation and synthesis in medical imaging : first international workshop, SASHIMI 2016, held in conjunction with MICCAI 2016, Athens, Greece, October 21, 2016 : proceedings
    Veröffentlicht 2016
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  14. 14
    Simulation and synthesis in medical imaging : second International Workshop, SASHIMI 2017, held in conjunction with MICCAI 2017 : Québec City, QC, Canada, September 10, 2017 : proceedings
    Veröffentlicht 2017
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  15. 15
    Applying disentanglement in the medical domain : an introduction for the MAD workshop
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  16. 16
    Cohort Brias Adaptation in Aggregated Datasets for Lesion Segmentation
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  17. 17
    Privacy Distillation: Reducing Re-identification Risk of Diffusion Models
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  18. 18
    Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers
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  19. 19
    Multimodal Cardiac Segmentation Using Disentangled Representation Learning
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  20. 20
    Semi-supervised Pathology Segmentation with Disentangled Representations
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