Showing 1 - 20 results of 36 for search 'Vogt Julia', query time: 0.10s Refine Results
  1. 1
    Delineation of the clinical phenotype associated with non-mosaic type-2 <it>NF1 </it>deletions: two case reports
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  2. 2
    Enhancing the Prediction of Early Readmissions Utilizing Translation Approaches
    by Schaller, Lucien
    Published 2020
    Other Authors: “…Vogt, Julia…”
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  3. 3
    Exploration of the SPUM cohort through a contrastive multimodal application
    by Cardona Pinol, Conrad
    Published 2022
    Other Authors: “…Vogt, Julia…”
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  4. 4
    Clustering of PSA Data for Prostate Cancer Risk Classification and Its Explainability
    by Tschichold, Vanessa
    Published 2022
    Other Authors: “…Vogt, Julia…”
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  5. 5
    Interpretable Prediction of Pulmonary Hypertension in Newborns using Echocardiography
    Other Authors: “…Vogt, Julia…”
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  6. 6
    Multimodal Relational VAE
    by Sutter, Thomas M., Vogt, Julia E.
    Published 2021
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  7. 7
    Unsupervised Phenotype Identification from Clinical Notes for Association Studies in Cancer
    by Stark, Stefan
    Published 2019
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  8. 8
    Generation of Differentially Private Heterogeneous Electronic Health Records
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  9. 9
    Generation of Heterogeneous Synthetic Electronic Health Records using GANs
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    Conference or Workshop Item info:eu-repo/semantics/acceptedVersion
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  10. 10
    Multimodal Generative Learning Utilizing Jensen-Shannon Divergence
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  11. 11
    Enhancing diagnosis of tuberculosis in children with novel Mycobacterium tuberculosis antigens
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  12. 12
    Interpretable Models for Granger Causality Using Self-explaining Neural Networks
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  13. 13
    Generalized Multimodal ELBO
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  14. 14
    ICD Modality Analysis: Analysing hierarchical and co-occurrence embeddings of ICD codes and how to fuse them
    by Gut, Jannik
    Published 2021
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  15. 15
    Amyloid fibril-UiO-66-NH2 aerogels for environmental remediation
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    Article info:eu-repo/semantics/publishedVersion
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  16. 16
    Interpretability and Explainability: A Machine Learning Zoo Mini-tour
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  17. 17
    A Deep Variational Approach to Clustering Survival Data
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  18. 18
    Interpretable Models for Granger Causality Using Self-explaining Neural Networks
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    Conference or Workshop Item Conference or Workshop Item info:eu-repo/semantics/acceptedVersion
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  19. 19
    Pharmacometrics and Machine Learning Partner to Advance Clinical Data Analysis
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  20. 20
    Multimodal Generative Learning Utilizing Jensen-Shannon Divergence
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