Search Results - "Arvaniti, Eirini"

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  1. 1

    Sensitive detection of rare disease-associated cell subsets via representation learning by Arvaniti, Eirini, Claassen, Manfred

    Published in Nature communications (06-04-2017)
    “…Rare cell populations play a pivotal role in the initiation and progression of diseases such as cancer. However, the identification of such subpopulations…”
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    Journal Article
  2. 2

    Automated Gleason grading of prostate cancer tissue microarrays via deep learning by Arvaniti, Eirini, Fricker, Kim S., Moret, Michael, Rupp, Niels, Hermanns, Thomas, Fankhauser, Christian, Wey, Norbert, Wild, Peter J., Rüschoff, Jan H., Claassen, Manfred

    Published in Scientific reports (13-08-2018)
    “…The Gleason grading system remains the most powerful prognostic predictor for patients with prostate cancer since the 1960s. Its application requires…”
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    Author Correction: Automated Gleason grading of prostate cancer tissue microarrays via deep learning by Arvaniti, Eirini, Fricker, Kim S., Moret, Michael, Rupp, Niels, Hermanns, Thomas, Fankhauser, Christian, Wey, Norbert, Wild, Peter J., Rüschoff, Jan H., Claassen, Manfred

    Published in Scientific reports (16-05-2019)
    “…A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper…”
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    Journal Article
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    Polarizable coarse-grained models for molecular dynamics simulation of liquid cyclohexane by Szklarczyk, Oliwia M., Arvaniti, Eirini, van Gunsteren, Wilfred F.

    Published in Journal of computational chemistry (30-06-2015)
    “…Force field parameters for polarizable coarse‐grained (CG) supra‐atomic models of liquid cyclohexane are proposed. Two different bead sizes were investigated,…”
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  10. 10

    Coupling weak and strong supervision for classification of prostate cancer histopathology images by Arvaniti, Eirini, Claassen, Manfred

    Published 16-11-2018
    “…Automated grading of prostate cancer histopathology images is a challenging task, with one key challenge being the scarcity of annotations down to the level of…”
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    Journal Article
  11. 11

    Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval by Wiatrak, Maciej, Arvaniti, Eirini, Brayne, Angus, Vetterle, Jonas, Sim, Aaron

    Published 30-01-2023
    “…A recent advancement in the domain of biomedical Entity Linking is the development of powerful two-stage algorithms, an initial candidate retrieval stage that…”
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  12. 12

    Markov Network Structure Learning via Ensemble-of-Forests Models by Arvaniti, Eirini, Claassen, Manfred

    Published 17-12-2013
    “…Real world systems typically feature a variety of different dependency types and topologies that complicate model selection for probabilistic graphical models…”
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