Výsledky vyhledávání - Libor Pastika

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  1. 1
    Siamese neural network-enhanced electrocardiography can re-identify anonymised healthcare data

    Siamese neural network-enhanced electrocardiography can re-identify anonymised healthcare data Autor Krzysztof Macierzanka, Arunashis Sau, Konstantinos Patlatzoglou, Libor Pastika, Ewa Sieliwończyk, Mehak Gurnani, Nicholas S. Peters, Jonathan W. Waks, Daniel B. Kramer, Fu Siong Ng

    Vydáno 2025
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  2. 2
    A comparison of artificial intelligence-enhanced electrocardiography approaches for prediction of time-to-mortality using electrocardiogram images

    A comparison of artificial intelligence-enhanced electrocardiography approaches for prediction of time-to-mortality using electrocardiogram images Autor Arunashis Sau, Boroumand Zeidaabadi, Konstantinos Patlatzoglou, Libor Pastika, Antônio H. Ribeiro, Éster Cerdeira Sabino, Nicholas S. Peters, Antônio Luiz Pinho Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng

    Vydáno 2024
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  3. 3
    Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study

    Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study Autor Arunashis Sau, Ewa Sieliwończyk, Konstantinos Patlatzoglou, Libor Pastika, Kathryn A. McGurk, Antônio H. Ribeiro, Antônio Luiz Pinho Ribeiro, Jennifer E. Ho, Nicholas S. Peters, James S. Ware, Upasana Tayal, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng

    Vydáno 2025
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  4. 4
    206 Artificial intelligence–enabled electrocardiography for hypertension diagnosis

    206 Artificial intelligence–enabled electrocardiography for hypertension diagnosis Autor Joseph Barker, Arunashis Sau, Libor Pastika, Ewa Sieliwończyk, Konstantinos Patlatzoglou, Kathryn A. McGurk, Antônio H. Ribeiro, Antônio Luiz Pinho Ribeiro, Nicholas S. Peters, Declan P. O’Regan, James S. Ware, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng

    Vydáno 2024
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  5. 5
    Neural network-derived electrocardiographic features have prognostic significance and important phenotypic and genotypic associations

    Neural network-derived electrocardiographic features have prognostic significance and important phenotypic and genotypic associations Autor Arunashis Sau, A H Ribeiro, Kathryn A. McGurk, Libor Pastika, Jiani Chen, Maddalena Ardissino, Éster Cerdeira Sabino, Luana Giatti, Sandhi Maria Barreto, Danilo P. Mandic, Nils Peters, Marek Malík, James S. Ware, Antônio Luiz Pinho Ribeiro, Fu Siong Ng

    Vydáno 2023
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  6. 6
    Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease

    Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease Autor Libor Pastika, Arunashis Sau, Konstantinos Patlatzoglou, Ewa Sieliwończyk, Antônio H. Ribeiro, Kathryn A. McGurk, Sadia Khan, Danilo P. Mandic, William R. Scott, James S. Ware, Nicholas S. Peters, Antônio Luiz Pinho Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng

    Vydáno 2024
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  7. 7
    Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease

    Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease Autor Libor Pastika, Arunashis Sau, Konstantinos Patlatzoglou, Ewa Sieliwończyk, A H Ribeiro, Kathryn A. McGurk, Sadia Khan, Danilo P. Mandic, William R. Scott, J S Ware, Nils Peters, Antônio Luiz Pinho Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng

    Vydáno 2024
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  8. 8
    Artificial intelligence enabled electrocardiogram for mortality and cardiovascular risk estimation: An actionable, explainable and biologically plausible platform

    Artificial intelligence enabled electrocardiogram for mortality and cardiovascular risk estimation: An actionable, explainable and biologically plausible platform Autor Arunashis Sau, Libor Pastika, Ewa Sieliwończyk, Konstantinos Patlatzoglou, Antônio H. Ribeiro, Kathryn A. McGurk, Boroumand Zeidaabadi, Henry Zhang, Krzysztof Macierzanka, Danilo P. Mandic, Éster Cerdeira Sabino, Luana Giatti, Sandhi Maria Barreto, Lidyane do Valle Camelo, Ioanna Tzoulaki, Declan P. O’Regan, Nicholas S. Peters, James S. Ware, Antônio Luiz Pinho Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng

    Vydáno 2024
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  9. 9
    Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study

    Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study Autor Arunashis Sau, Libor Pastika, Ewa Sieliwończyk, Konstantinos Patlatzoglou, A H Ribeiro, Kathryn A. McGurk, Boroumand Zeidaabadi, Henry Zhang, Krzysztof Macierzanka, Danilo P. Mandic, Éster Cerdeira Sabino, Luana Giatti, Sandhi Maria Barreto, Lidyane do Valle Camelo, Ioanna Tzoulaki, Declan P. O’Regan, Nicholas S. Peters, James S. Ware, Antonio Luiz P Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng

    Vydáno 2024
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  10. 10
    Neural network-derived electrocardiographic features have prognostic significance and important phenotypic and genotypic associations

    Neural network-derived electrocardiographic features have prognostic significance and important phenotypic and genotypic associations Autor Arunashis Sau, Antônio H. Ribeiro, Kathryn A. McGurk, Libor Pastika, Nikesh Bajaj, Maddalena Ardissino, Jun Yu Chen, Huiyi Wu, Xili Shi, Katerina Hnatkova, Sean L. Zheng, Annie Britton, Martin J. Shipley, Irena Andršová, Tomáš Novotný, Éster Cerdeira Sabino, Luana Giatti, Sandhi Maria Barreto, Jonathan W. Waks, Daniel B. Kramer, Danilo P. Mandic, Nicholas S. Peters, Declan P. O’Regan, Marek Malík, James S. Ware, Antônio Luiz Pinho Ribeiro, Fu Siong Ng

    Vydáno 2023
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  11. 11
    E Exploring the prognostic significance and important phenotypic and genotypic associations of neural network-derived electrocardiographic features

    E Exploring the prognostic significance and important phenotypic and genotypic associations of neural network-derived electrocardiographic features Autor Arunashis Sau, Antônio H. Ribeiro, Kathryn A. McGurk, Libor Pastika, Nikesh Bajaj, Maddalena Ardissino, Jun Yu Chen, Huiyi Wu, Xili Shi, Katerina Hnatkova, Sean L. Zheng, Annie Britton, Martin J. Shipley, Irena Andršová, Tomáš Novotný, Éster Cerdeira Sabino, Luana Giatti, Sandhi Maria Barreto, Jonathan W. Waks, Daniel B. Kramer, Danilo P. Mandic, Nicholas S. Peters, Declan P. O’Regan, Marek Malík, James S. Ware, Antônio Luiz Pinho Ribeiro, Fu Siong Ng

    Vydáno 2023
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