Search Results - Collaboration, AIX-COVNET

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  1. 1
    Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise

    Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise by Driggs, Derek, Selby, Ian, Roberts, Michael, Gkrania-Klotsas, Effrossyni, Rudd, James H F, Yang, Guang, Babar, Judith, Sala, Evis, Schönlieb, Carola-Bibiane

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  2. 2
    The impact of imputation quality on machine learning classifiers for datasets with missing values

    The impact of imputation quality on machine learning classifiers for datasets with missing values by Shadbahr, Tolou, Roberts, Michael, Stanczuk, Jan, Gilbey, Julian, Teare, Philip, Dittmer, Sören, Thorpe, Matthew, Torné, Ramon Viñas, Sala, Evis, Lió, Pietro, Patel, Mishal, Preller, Jacobus, Rudd, James H. F., Mirtti, Tuomas, Rannikko, Antti Sakari, Aston, John A. D., Tang, Jing, Schönlieb, Carola-Bibiane

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  3. 3
    A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data

    A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data by Breger, Anna, Selby, Ian, Roberts, Michael, Babar, Judith, Gkrania-Klotsas, Effrossyni, Preller, Jacobus, Escudero Sánchez, Lorena, Rudd, James H. F., Aston, John A. D., Weir-McCall, Jonathan R., Sala, Evis, Schönlieb, Carola-Bibiane

    Published in Scientific data
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  4. 4
    Navigating the challenges in creating complex data systems: a development philosophy

    Navigating the challenges in creating complex data systems: a development philosophy by Dittmer, Sören, Roberts, Michael, Gilbey, Julian, Ander Biguri, Collaboration, AIX-COVNET, Preller, Jacobus, Rudd, James H F, Aston, John A D, Schönlieb, Carola-Bibiane

    Published in arXiv.org
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  5. 5
    Classification of datasets with imputed missing values: does imputation quality matter?

    Classification of datasets with imputed missing values: does imputation quality matter? by Shadbahr, Tolou, Roberts, Michael, Stanczuk, Jan, Gilbey, Julian, Teare, Philip, Dittmer, Sören, Thorpe, Matthew, Ramon Vinas Torne, Sala, Evis, Lio, Pietro, Patel, Mishal, Collaboration, AIX-COVNET, Rudd, James H F, Mirtti, Tuomas, Rannikko, Antti, Aston, John A D, Tang, Jing, Schönlieb, Carola-Bibiane

    Published in arXiv.org
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  6. 6
    A study of why we need to reassess full reference image quality assessment with medical images

    A study of why we need to reassess full reference image quality assessment with medical images by Breger, Anna, Ander Biguri, Malena Sabaté Landman, Selby, Ian, Amberg, Nicole, Brunner, Elisabeth, Gröhl, Janek, Hatamikia, Sepideh, Karner, Clemens, Ning, Lipeng, Dittmer, Sören, Roberts, Michael, Collaboration, AIX-COVNET, Schönlieb, Carola-Bibiane

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  7. 7
    Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

    Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans by Roberts, Michael, Driggs, Derek, Thorpe, Matthew, Gilbey, Julian, Yeung, Michael, Ursprung, Stephan, Aviles-Rivero, Angelica I, Etmann, Christian, McCague, Cathal, Beer, Lucian, Weir-McCall, Jonathan R, Teng, Zhongzhao, Gkrania-Klotsas, Effrossyni, Rudd, James H F, Sala, Evis, Schönlieb, Carola-Bibiane, on behalf of the AIX-COVNET collaboration

    Published in arXiv.org
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