| A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis X Liu, L Faes, AU Kale, SK Wagner, DJ Fu, A Bruynseels, T Mahendiran, ... The lancet digital health 1 (6), e271-e297, 2019 | 237 | 2019 |
| Efficacy and adverse events of aflibercept, ranibizumab and bevacizumab in age-related macular degeneration: a trade-off analysis MK Schmid, LM Bachmann, L Fäs, AG Kessels, OM Job, MA Thiel British Journal of Ophthalmology 99 (2), 141-146, 2015 | 89 | 2015 |
| Diagnostic accuracy of the Amsler grid and the preferential hyperacuity perimetry in the screening of patients with age-related macular degeneration: systematic review and meta … L Fäs, NS Bodmer, LM Bachmann, MA Thiel, MK Schmid Eye 28 (7), 788-796, 2014 | 61 | 2014 |
| Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study L Faes, SK Wagner, DJ Fu, X Liu, E Korot, JR Ledsam, T Back, R Chopra, ... The Lancet Digital Health 1 (5), e232-e242, 2019 | 47 | 2019 |
| Evidence assessing the diagnostic performance of medical smartphone apps: a systematic review and exploratory meta-analysis KRL Rahel Buechi, Livia Faes, Lucas M Bachmann, Michael A Thiel, Nicolas S ... BMJ Open, 2017 | 30 | 2017 |
| A clinician's guide to artificial intelligence: how to critically appraise machine learning studies L Faes, X Liu, SK Wagner, DJ Fu, K Balaskas, DA Sim, LM Bachmann, ... Translational vision science & technology 9 (2), 7-7, 2020 | 21 | 2020 |
| Causes of low neonatal T-cell receptor excision circles: a systematic review AA Mauracher, F Pagliarulo, L Faes, S Vavassori, T Güngör, ... The Journal of Allergy and Clinical Immunology: In Practice 5 (5), 1457-1460 …, 2017 | 17 | 2017 |
| Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed X Liu, SC Rivera, L Faes, LF Di Ruffano, C Yau, PA Keane10, ... Nat. Med 25, 1467-1468, 2019 | 16 | 2019 |
| Comparison of Eylea® with Lucentis® as first-line therapy in patients with treatment-naïve neovascular age-related macular degeneration in real-life clinical practice … SC Böhni, M Bittner, JP Howell, LM Bachmann, L Faes, MK Schmid BMC ophthalmology 15 (1), 1-6, 2015 | 15 | 2015 |
| Phototherapeutic keratectomy (PTK) for treatment of recurrent corneal erosion: correlation between etiology and prognosis–prospective longitudinal study W Dedes, L Faes, I Schipper, LM Bachmann, MA Thiel Graefe's Archive for Clinical and Experimental Ophthalmology 253 (10), 1745-1749, 2015 | 14 | 2015 |
| Comparison of outcomes and costs of ranibizumab and aflibercept treatment in real-life MK Schmid, O Reich, L Faes, SC Boehni, M Bittner, JP Howell, MA Thiel, ... PLoS One 10 (8), e0135050, 2015 | 14 | 2015 |
| Insights into systemic disease through retinal imaging-based oculomics SK Wagner, DJ Fu, L Faes, X Liu, J Huemer, H Khalid, D Ferraz, E Korot, ... Translational vision science & technology 9 (2), 6-6, 2020 | 13 | 2020 |
| Extension of the CONSORT and SPIRIT statements X Liu, L Faes, MJ Calvert, AK Denniston The Lancet 394 (10205), 1225, 2019 | 13 | 2019 |
| Anti-VEGF treatment patterns and associated health care costs in Switzerland: findings using real-world claims data O Reich, LM Bachmann, L Faes, SC Böhni, M Bittner, JP Howell, MA Thiel, ... Risk management and healthcare policy 8, 55, 2015 | 13 | 2015 |
| Reliability and diagnostic performance of a novel mobile app for hyperacuity self-monitoring in patients with age-related macular degeneration MK Schmid, MA Thiel, K Lienhard, RO Schlingemann, L Faes, ... Eye 33 (10), 1584-1589, 2019 | 12 | 2019 |
| One-and two-year visual outcomes from the Moorfields age-related macular degeneration database: a retrospective cohort study and an open science resource K Fasler, G Moraes, S Wagner, KU Kortuem, R Chopra, L Faes, G Preston, ... BMJ open 9 (6), e027441, 2019 | 11 | 2019 |
| Variability of tear osmolarity measurements with a point-of-care system in healthy subjects—systematic review PB Baenninger, S Voegeli, LM Bachmann, L Faes, K Iselin, C Kaufmann, ... Cornea 37 (7), 938-945, 2018 | 11 | 2018 |
| A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. Lancet Digit … X Liu, L Faes, AU Kale, SK Wagner, DJ Fu, A Bruynseels, T Mahendiran, ... Artificial Intelligence in Lung Cancer Pathology Images, 0 | 10 | |
| CONSORT/SPIRIT-AI Extension Group. Extension of the CONSORT and SPIRIT statements X Liu, L Faes, MJ Calvert, AK Denniston Lancet 394 (1225), 31819-7, 2019 | 9 | 2019 |
| Moorfields AMD database report 2: fellow eye involvement with neovascular age-related macular degeneration K Fasler, DJ Fu, G Moraes, S Wagner, E Gokhale, K Kortuem, R Chopra, ... British Journal of Ophthalmology 104 (5), 684-690, 2020 | 8 | 2020 |
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