Hakutulokset - Siegfried K Wagner

  • Näytetään 1 - 9 yhteensä 9 tuloksesta
Tarkenna hakua
  1. 1
    Diagnostic accuracy of code-free deep learning for detection and evaluation of posterior capsule opacification

    Diagnostic accuracy of code-free deep learning for detection and evaluation of posterior capsule opacification Tekijä Pearse A Keane, Josef Huemer, Oliver Findl, Dawn Sim, Siegfried K Wagner, Martin Kronschläger, Manuel Ruiss

    Julkaistu 2022-10-01
    Hae kokoteksti
    Artikkeli
    Lisää suosikkeihin
    Tallennettuna:
  2. 2
    Oculomics: A Crusade Against the Four Horsemen of Chronic Disease

    Oculomics: A Crusade Against the Four Horsemen of Chronic Disease Tekijä Emily J. Patterson, Alistair D. Bounds, Siegfried K. Wagner, Richard Kadri-Langford, Robin Taylor, Dan Daly

    Julkaistu 2024-04-01
    Hae kokoteksti
    Artikkeli
    Lisää suosikkeihin
    Tallennettuna:
  3. 3
    Predicting sex from retinal fundus photographs using automated deep learning

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

    Julkaistu 2021-05-01
    Hae kokoteksti
    Artikkeli
    Lisää suosikkeihin
    Tallennettuna:
  4. 4
    Quantifying Changes on OCT in Eyes Receiving Treatment for Neovascular Age-Related Macular Degeneration

    Quantifying Changes on OCT in Eyes Receiving Treatment for Neovascular Age-Related Macular Degeneration Tekijä Gabriella Moraes, MD, MSc, Robbert Struyven, MD, Siegfried K. Wagner, BMBCh, FRCOphth, Timing Liu, BA, David Chong, MBBChir, Abdallah Abbas, iBSc, MBBS, Reena Chopra, BSc, Praveen J. Patel, MD, FRCOphth, Konstantinos Balaskas, MD, Tiarnan D.L. Keenan, BM BCh, PhD, Pearse A. Keane, MD, FRCOphth

    Julkaistu 2024-11-01
    Hae kokoteksti
    Artikkeli
    Lisää suosikkeihin
    Tallennettuna:
  5. 5
    Artificial intelligence extension of the OSCAR‐IB criteria

    Artificial intelligence extension of the OSCAR‐IB criteria Tekijä Axel Petzold, Philipp Albrecht, Laura Balcer, Erik Bekkers, Alexander U. Brandt, Peter A. Calabresi, Orla Galvin Deborah, Jennifer S. Graves, Ari Green, Pearse A Keane, Jenny A. Nij Bijvank, Josemir W. Sander, Friedemann Paul, Shiv Saidha, Pablo Villoslada, Siegfried K Wagner, E. Ann Yeh, the IMSVISUAL, ERN‐EYE Consortium

    Julkaistu 2021-07-01
    Hae kokoteksti
    Artikkeli
    Lisää suosikkeihin
    Tallennettuna:
  6. 6
    Cross-modality Labeling Enables Noninvasive Capillary Quantification as a Sensitive Biomarker for Assessing Cardiovascular Risk

    Cross-modality Labeling Enables Noninvasive Capillary Quantification as a Sensitive Biomarker for Assessing Cardiovascular Risk Tekijä Danli Shi, MD, PhD, Yukun Zhou, ME, Shuang He, MD, Siegfried K. Wagner, MD, PhD, Yu Huang, MD, PhD, Pearse A. Keane, MD, PhD, Daniel S.W. Ting, MD, PhD, Lei Zhang, PhD, Yingfeng Zheng, PhD, Mingguang He, MD, PhD

    Julkaistu 2024-05-01
    Hae kokoteksti
    Artikkeli
    Lisää suosikkeihin
    Tallennettuna:
  7. 7
    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 Tekijä 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

    Julkaistu 2019-09-01
    Hae kokoteksti
    Artikkeli
    Lisää suosikkeihin
    Tallennettuna:
  8. 8
    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 Tekijä 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

    Julkaistu 2019-10-01
    Hae kokoteksti
    Artikkeli
    Lisää suosikkeihin
    Tallennettuna:
  9. 9
    SynthEye: Investigating the Impact of Synthetic Data on Artificial Intelligence-assisted Gene Diagnosis of Inherited Retinal Disease

    SynthEye: Investigating the Impact of Synthetic Data on Artificial Intelligence-assisted Gene Diagnosis of Inherited Retinal Disease Tekijä Yoga Advaith Veturi, MSc, William Woof, PhD, Teddy Lazebnik, PhD, Ismail Moghul, PhD, Peter Woodward-Court, PhD, MBBS, Siegfried K. Wagner, BMBCh, Thales Antonio Cabral de Guimarães, PhD, MD, Malena Daich Varela, PhD, MD, Bart Liefers, PhD, Praveen J. Patel, MBBChir MD(Res), Stephan Beck, PhD, Andrew R. Webster, FRCOphth, Omar Mahroo, PhD, MBBChir, Pearse A. Keane, MD, MB BCH BAO, Michel Michaelides, MD, Konstantinos Balaskas, MD, Nikolas Pontikos, PhD

    Julkaistu 2023-06-01
    Hae kokoteksti
    Artikkeli
    Lisää suosikkeihin
    Tallennettuna:

Työkalut: