Hasil Pencarian - Livia Faes

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  1. 1
    Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?

    Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins? oleh Livia Faes, Livia Faes, Dawn A. Sim, Dawn A. Sim, Dawn A. Sim, Maarten van Smeden, Ulrike Held, Patrick M. Bossuyt, Lucas M. Bachmann

    Diterbitkan 2022-01-01
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  2. 2
    Visual acuity outcome of stable proliferative diabetic retinopathy following initial complete panretinal photocoagulation

    Visual acuity outcome of stable proliferative diabetic retinopathy following initial complete panretinal photocoagulation oleh Sobha Sivaprasad, Pearse A Keane, Livia Faes, Dun Jack Fu, Konstantinos Balaskas, Dawn Sim, Sridevi Thottarath

    Diterbitkan 2022-09-01
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  3. 3
    Correction: Sight threatening diabetic retinopathy in patients with macular telangiectasia type 2

    Correction: Sight threatening diabetic retinopathy in patients with macular telangiectasia type 2 oleh Josef Huemer, Tjebo FC Heeren, Abraham Olvera-Barrios, Livia Faes, Antonio M. B. Casella, Edward Hughes, Adnan Tufail, Catherine Egan

    Diterbitkan 2024-03-01
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  4. 4
    Sight threatening diabetic retinopathy in patients with macular telangiectasia type 2

    Sight threatening diabetic retinopathy in patients with macular telangiectasia type 2 oleh Josef Huemer, Tjebo FC Heeren, Abraham Olvera-Barrios, Livia Faes, Antonio M. B. Casella, Edward Hughes, Adnan Tufail, Catherine Egan

    Diterbitkan 2024-03-01
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  5. 5
    Optical coherence tomography angiography analysis methods: a systematic review and meta-analysis

    Optical coherence tomography angiography analysis methods: a systematic review and meta-analysis oleh Ella Courtie, James Robert Moore Kirkpatrick, Matthew Taylor, Livia Faes, Xiaoxuan Liu, Ann Logan, Tonny Veenith, Alastair K. Denniston, Richard J. Blanch

    Diterbitkan 2024-04-01
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  6. 6
    One- and two-year visual outcomes from the Moorfields age-related macular degeneration database: a retrospective cohort study and an open science resource

    One- and two-year visual outcomes from the Moorfields age-related macular degeneration database: a retrospective cohort study and an open science resource oleh Praveen Patel, Livia Faes, Siegfried Wagner, Dun Jack Fu, Katrin Fasler, Gabriella Moraes, Karsten U Kortuem, Reena Chopra, Gabriella Preston, Nikolas Pontikos

    Diterbitkan 2019-06-01
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  7. 7
    Comparison of Outcomes and Costs of Ranibizumab and Aflibercept Treatment in Real-Life.

    Comparison of Outcomes and Costs of Ranibizumab and Aflibercept Treatment in Real-Life. oleh Martin K Schmid, Oliver Reich, Livia Faes, Sophie C Boehni, Mario Bittner, Jeremy P Howell, Michael A Thiel, Andri Signorell, Lucas M Bachmann

    Diterbitkan 2015-01-01
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  8. 8
    Outcomes and costs of Ranibizumab and Aflibercept treatment in a health-service research context

    Outcomes and costs of Ranibizumab and Aflibercept treatment in a health-service research context oleh Martin K. Schmid, Oliver Reich, Eva Blozik, Livia Faes, Nicolas S. Bodmer, Silvan Locher, Michael A. Thiel, Roland Rapold, Maximilian Kuhn, Lucas M. Bachmann

    Diterbitkan 2018-02-01
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  9. 9
    Predicting sex from retinal fundus photographs using automated deep learning

    Predicting sex from retinal fundus photographs using automated deep learning oleh Edward Korot, Nikolas Pontikos, Xiaoxuan Liu, Siegfried K. Wagner, Livia Faes, Josef Huemer, Konstantinos Balaskas, Alastair K. Denniston, Anthony Khawaja, Pearse A. Keane

    Diterbitkan 2021-05-01
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  10. 10
    Evaluating the Effects of C3 Inhibition on Geographic Atrophy Progression from Deep-Learning OCT Quantification: A Split-Person Study

    Evaluating the Effects of C3 Inhibition on Geographic Atrophy Progression from Deep-Learning OCT Quantification: A Split-Person Study oleh Dun Jack Fu, Veronika Lipkova, Bart Liefers, Sophie Glinton, Livia Faes, Alex McKeown, Lukas Scheibler, Nikolas Pontikos, Praveen J. Patel, Gongyu Zhang, Pearse A. Keane, Konstantinos Balaskas

    Diterbitkan 2023-09-01
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  11. 11
    Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study

    Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study oleh Livia Faes, MD, Siegfried K Wagner, BMBCh, Dun Jack Fu, PhD, Xiaoxuan Liu, MBChB, Edward Korot, MD, Joseph R Ledsam, MBChB, Trevor Back, PhD, Reena Chopra, BSc, Nikolas Pontikos, PhD, Christoph Kern, MD, Gabriella Moraes, MD, Martin K Schmid, ProfMD, Dawn Sim, PhD, Konstantinos Balaskas, MD, Lucas M Bachmann, ProfPhD, Alastair K Denniston, ProfPhD, Pearse A Keane, MD

    Diterbitkan 2019-09-01
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  12. 12
    A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

    A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis oleh Xiaoxuan Liu, MBChB, Livia Faes, MD, Aditya U Kale, MBChB, Siegfried K Wagner, BMBCh, Dun Jack Fu, PhD, Alice Bruynseels, MBChB, Thushika Mahendiran, MBChB, Gabriella Moraes, MD, Mohith Shamdas, MBBS, Christoph Kern, MD, Joseph R Ledsam, MBChB, Martin K Schmid, MD, Konstantinos Balaskas, MD, Eric J Topol, MD, Lucas M Bachmann, ProfPhD, Pearse A Keane, MD, Alastair K Denniston, ProfPhD

    Diterbitkan 2019-10-01
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  13. 13
    Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

    Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension oleh Xiaoxuan Liu, MBChB, Samantha Cruz Rivera, PhD, David Moher, PhD, Melanie J Calvert, ProfPhD, Alastair K Denniston, ProfPhD, Hutan Ashrafian, Andrew L Beam, An-Wen Chan, Gary S Collins, Ara DarziJonathan J Deeks, M Khair ElZarrad, Cyrus Espinoza, Andre Esteva, Livia Faes, Lavinia Ferrante di Ruffano, John Fletcher, Robert Golub, Hugh Harvey, Charlotte Haug, Christopher Holmes, Adrian Jonas, Pearse A Keane, Christopher J Kelly, Aaron Y Lee, Cecilia S Lee, Elaine Manna, James Matcham, Melissa McCradden, Joao Monteiro, Cynthia Mulrow, Luke Oakden-Rayner, Dina Paltoo, Maria Beatrice Panico, Gary Price, Samuel Rowley, Richard Savage, Rupa Sarkar, Sebastian J Vollmer, Christopher Yau

    Diterbitkan 2020-10-01
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  14. 14
    Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

    Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension oleh Samantha Cruz Rivera, PhD, Xiaoxuan Liu, MBChB, An-Wen Chan, MD, Alastair K Denniston, ProfPhD, Melanie J Calvert, ProfPhD, Hutan Ashrafian, Andrew L Beam, Gary S Collins, Ara Darzi, Jonathan J Deeks, M Khair ElZarrad, Cyrus Espinoza, Andre Esteva, Livia Faes, Lavinia Ferrante di Ruffano, John Fletcher, Robert Golub, Hugh Harvey, Charlotte Haug, Christopher Holmes, Adrian Jonas, Pearse A Keane, Christopher J Kelly, Aaron Y Lee, Cecilia S Lee, Elaine Manna, James Matcham, Melissa McCradden, David Moher, Joao Monteiro, Cynthia Mulrow, Luke Oakden-Rayner, Dina Paltoo, Maria Beatrice Panico, Gary Price, Samuel Rowley, Richard Savage, Rupa Sarkar, Sebastian J Vollmer, Christopher Yau

    Diterbitkan 2020-10-01
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