Our latest publication

• Long-term effect of fluid volumes during the maintenance phase in neovascular age-related macular degeneration in the real world: results from Fight Retinal Blindness!

  Can J Ophthalmol . 2023 Nov 18:S0008-4182(23)00335-6. doi: 10.1016/j.jcjo.2023.10.017.

  Authors:
  Gregor S Reiter, Virginia Mares, Oliver Leingang, Philipp Fuchs, Hrvoje Bogunovic, Daniel Barthelmes, Ursula Schmidt-Erfurth
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GA

• Monitoring der Progression von geografischer Atrophie in der optischen Kohärenztomographie

  Ophthalmologie. 2023 Sep;120(9):965-969. doi: 10.1007/s00347-023-01891-9. Epub 2023 Jul 7.

  Authors:
  Schmidt-Erfurth U, Mai J, Reiter GS, Riedl S, Lachinov D, Vogl WD, Bogunovic H
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• Progression Dynamics of Early versus Later Stage Atrophic Lesions in Nonneovascular Age-Related Macular Degeneration Using Quantitative OCT Biomarker Segmentation

  Ophthalmol Retina. 2023 Sep;7(9):762-770. doi: 10.1016/j.oret.2023.05.004. Epub 2023 May 9.PMID: 37169078

  Authors:
  Coulibaly LM, Reiter GS, Fuchs P, Lachinov D, Leingang O, Vogl WD, Bogunovic H, Schmidt-Erfurth U.
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• Clinical validation for automated geographic atrophy monitoring on OCT under complement inhibitory treatment

  Sci Rep. 2023 Apr 29;13(1):7028.

  Authors:
  Mai J, Lachinov D, Riedl S, Reiter GS, Vogl WD, Bogunovic H, Schmidt-Erfurth U.
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• OCT-based applications of artificial intelligence in the management of neovascular and atrophic age-related macular degeneration

  White paper

  Authors:
  Sophie Riedl, Ursula Schmidt-Erfurth
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• Developing and validating a multivariable prediction model which predicts progression of intermediate to late age-related macular degeneration—the PINNACLE trial protocol

  Eye (Lond). 2023 Apr; 37(6):1275-1283

  Authors:
  Janice Sutton, Martin J. Menten, Sophie Riedl, Hrvoje Bogunović, Oliver Leingang, Philipp Anders, Ahmed M. Hagag, Sebastian Waldstein, Amber Wilson, Angela J. Cree, Ghislaine Traber, Lars G. Fritsche, Hendrik Scholl, Daniel Rueckert, Ursula Schmidt-Erfurth, Sobha Sivaprasad, Toby Prevost and Andrew Lotery
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• Predicting Topographic Disease Progression and Treatment Response of Pegcetacoplan in Geographic Atrophy Quantified by Deep Learning

  Ophthalmology Retina 2023; 7:4-13

  Authors:
  Wolf-Dieter Vogl, PhD, Sophie Riedl, MD, Julia Mai, MD, Gregor S. Reiter, MD, PhD, Dmitrii Lachinov, MSc, Hrvoje Bogunovi
  c, PhD, Ursula Schmidt-Erfurth, MD
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• The Effect of Pegcetacoplan Treatment on Photoreceptor Maintenance in Geographic Atrophy Monitored by Artificial Intelligence – Based OCT Analysis

  Ophthalmology Retina 2022;6:1009-1018

  Authors:
  Sophie Riedl, MD, Wolf-Dieter Vogl, PhD, Julia Mai, MD, Gregor S. Reiter, MD, PhD, Dmitrii Lachinov, MSc, Christoph Grechenig, MD, Alex McKeown, PhD, Lukas Scheibler, PhD, Hrvoje Bogunovic, PhD, Ursula Schmidt-Erfurth, MD 1
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• Fundus autofluorescence and optical coherence tomography biomarkers associated with the progression of geographic atrophy secondary to age-related macular degeneration

  Eye (2022) 36: 2013–2019

  Authors:
  Patricia T. A. Bui, Gregor S. Reiter, Maria Fabianska, Sebastian M. Waldstein, Christoph Grechenig, Hrvoje Bogunovic, Mustafa Arikan and Ursula Schmidt-Erfurth
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• Role of Deep Learning–Quantified Hyperreflective Foci for the Prediction of Geographic Atrophy Progression

  Am J Ophthalmol. 2020 Aug; 216:257-270

  Authors:
  URSULA SCHMIDT-ERFURTH, HRVOJE BOGUNOVIC, CHRISTOPH GRECHENIG, PATRICIA BUI, MARIA FABIANSKA, SEBASTIAN WALDSTEIN, AND GREGOR S. REITER
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• Subretinal Drusenoid Deposits and Photoreceptor LossDetecting Global and Local Progression of GeographicAtrophy by SD-OCT Imaging

  Invest Ophthalmol Vis Sci. 2020;61(6):11

  Authors:
  Gregor S. Reiter, Reinhard Told, Markus Schranz, Lukas Baumann, Georgios Mylonas, Stefan Sacu, Andreas Pollreisz, Ursula Schmidt-Erfurth
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nAMD

• Long-term effect of fluid volumes during the maintenance phase in neovascular age-related macular degeneration in the real world: results from Fight Retinal Blindness!

  Can J Ophthalmol . 2023 Nov 18:S0008-4182(23)00335-6. doi: 10.1016/j.jcjo.2023.10.017.

  Authors:
  Gregor S Reiter, Virginia Mares, Oliver Leingang, Philipp Fuchs, Hrvoje Bogunovic, Daniel Barthelmes, Ursula Schmidt-Erfurth
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• Therapeutic response in the HAWK and HARRIER trials using deep learning in retinal fluid volume and compartment analysis

  Eye (Lond). 2023 Apr;37(6):1160-1169. doi: 10.1038/s41433-022-02077-4. Epub 2022 May 6.PMID: 35523860

  Authors:
  Schmidt-Erfurth U, Mulyukov Z, Gerendas BS, Reiter GS, Lorand D, Weissgerber G, Bogunović H.
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• Personalized treatment supported by automated quantitative fluid analysis in active neovascular age-related macular degeneration (nAMD)-a phase III, prospective, multicentre, randomized study: design and methods

  Eye (Lond). 2023 May;37(7):1464-1469. doi: 10.1038/s41433-022-02154-8. Epub 2022 Jul 5.PMID: 35790835

  Authors:
  Coulibaly LM, Sacu S, Fuchs P, Bogunovic H, Faustmann G, Unterrainer C, Reiter GS, Schmidt-Erfurth U.
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• Correlation of vascular and fluid-related parameters in neovascular age-related macular degeneration using deep learning

  Acta Ophthalmol. 2023 Feb;101(1):e95-e105. doi: 10.1111/aos.15219. Epub 2022 Aug 1.PMID: 35912717

  Authors:
  Schranz M, Told R, Hacker V, Reiter GS, Reumueller A, Vogl WD, Bogunovic H, Sacu S, Schmidt-Erfurth U, Roberts PK.
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• Predicting treat-and-extend outcomes and treatment intervals in neovascular age-related macular degeneration from retinal optical coherence tomography using artificial intelligence

  Front Med (Lausanne). 2022 Aug 9;9:958469. doi: 10.3389/fmed.2022.958469. eCollection 2022.PMID: 36017006

  Authors:
  Bogunović H, Mares V, Reiter GS, Schmidt-Erfurth U.
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• Performance of retinal fluid monitoring in OCT imaging by automated deep learning versus human expert grading in neovascular AMD

  Eye (Lond). 2023 Jun 13. doi: 10.1038/s41433-023-02615-8. PMID: 37311835

  Authors:
  Pawloff M, Gerendas BS, Deak G, Bogunovic H, Gruber A, Schmidt-Erfurth U.
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• Deep survival modeling of longitudinal retinal OCT volumes for predicting the onset of atrophy in patients with intermediate AMD

  Biomed Opt Express. 2023 May 2;14(6):2449-2464. doi: 10.1364/BOE.487206. eCollection 2023 Jun 1.PMID: 37342683

  Authors:
  Rivail A, Vogl WD, Riedl S, Grechenig C, Coulibaly LM, Reiter GS, Guymer RH, Wu Z, Schmidt-Erfurth U, Bogunović H.
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• Performance of retinal fluid monitoring in OCT imaging by automated deep learning versus human expert grading in neovascular AMD

  Eye (2023). https://doi.org/10.1038/s41433-023-02615-8

  Authors:
  Maximilian Pawloff, Bianca S. Gerendas, Gabor Deak, Hrvoje Bogunovic, Anastasiia Gruber and Ursula Schmidt-Erfurth
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• OCT-based applications of artificial intelligence in the management of neovascular and atrophic age-related macular degeneration

  White paper

  Authors:
  Sophie Riedl, Ursula Schmidt-Erfurth
  Download PDF
• Developing and validating a multivariable prediction model which predicts progression of intermediate to late age-related macular degeneration—the PINNACLE trial protocol

  Eye (Lond). 2023 Apr; 37(6):1275-1283

  Authors:
  Janice Sutton, Martin J. Menten, Sophie Riedl, Hrvoje Bogunović, Oliver Leingang, Philipp Anders, Ahmed M. Hagag, Sebastian Waldstein, Amber Wilson, Angela J. Cree, Ghislaine Traber, Lars G. Fritsche, Hendrik Scholl, Daniel Rueckert, Ursula Schmidt-Erfurth, Sobha Sivaprasad, Toby Prevost and Andrew Lotery
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• Validation of an automated fluid algorithm on real-world data of neovascular age-related macular degeneration over five years

  Retina: September 2022 – Volume 42 – Issue 9 – p 1673-1682

  Authors:
  Gerendas BS, Sadeghipour A, Michl M, Goldbach F, Mylonas G, Gruber A, Alten T, Leingang O, Sacu S, Bogunovic H, Schmidt-Erfurth U
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• Baseline predictors for subretinal fibrosis in neovascular age-related macular degeneration.

  Sci Rep. 2022 Jan 7;12(1):88

  Authors:
  Roberts PK, Schranz M, Motschi A, Desissaire S, Hacker V, Pircher M, Sacu S, Buehl W, Hitzenberger CK, Schmidt-Erfurth UM.
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• Analysis of Fluid Volume and its Impact on Visual Acuity in the FLUID Study as Quantified with Deep Learning.

  [Retina. 2020 Nov 18. Online ahead of print]

  Authors:
  Reiter GS, Grechenig C, Vogl WD, Guymer RH, Arnold JJ, Bogunovic H, Schmidt-Erfurth U.
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• Topographic Analysis of Photoreceptor Loss Correlated with Disease Morphology in Neovascular Age-Related Macular Degeneration.

  [Retina. 2020;40(11):2148-2157]

  Authors:
  Riedl S, Cooney L, Grechenig C, Sadeghipour A, Pablik E, Seaman JW 3rd, Waldstein SM, Schmidt-Erfurth U.
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• Application of Automated Quantification of Fluid Volumes to Anti-VEGF Therapy of Neovascular Age-Related Macular Degeneration.

  [Ophthalmology. 2020; 127(9):1211-1219]

  Authors:
  Schmidt-Erfurth U, Vogl WD, Jampol LM, Bogunović H.
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• Machine Learning to Analyze the Prognostic Value of Current Imaging Biomarkers in Neovascular Age-Related Macular Degeneration.

  [Ophthalmol Retina. 2018, 2(1):24-30]

  Authors:
  Schmidt-Erfurth U, Bogunovic H, Sadeghipour A, Schlegl T, Langs G, Gerendas BS, Osborne A, Waldstein SM.
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• A paradigm shift in imaging biomarkers in neovascular age-related macular degeneration.

  [Prog Retin Eye Res. 2016; 50: 1-24]

  Authors:
  Schmidt-Erfurth U, Waldstein SM.
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DR and DME

• Comparison of early diabetic retinopathy staging in asymptomatic patients between autonomous AI-based screening and human-graded ultra-widefield colour fundus images.

  Eye (Lond). 2022 Feb 7

  Authors:
  Sedova A, Hajdu D, Datlinger F, Steiner I, Neschi M, Aschauer J, Gerendas BS, Schmidt-Erfurth U, Pollreisz A.
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• Quantification of Fluid Resolution and Visual Acuity Gain in Patients With Diabetic Macular Edema Using Deep Learning: A Post Hoc Analysis of a Randomized Clinical Trial.

  [JAMA Ophthalmol. 2020; 138(9):945-953]

  Authors:
  Roberts PK, Vogl WD, Gerendas BS, Glassman AR, Bogunovic H, Jampol LM, Schmidt-Erfurth UM.
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• Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning.

  [Sci Rep. 2020; 10(1): 5619]

  Authors:
  Orlando JI, Gerendas BS, Riedl S, Grechenig C, Breger A, Ehler M, Waldstein SM, Bogunović H, Schmidt-Erfurth U.
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• Computational image analysis for prognosis determination in DME.

  [Vision Res. 2017; 139: 204-210]

  Authors:
  Gerendas BS, Bogunovic H, Sadeghipour A, Schlegl T, Langs G, Waldstein SM, Schmidt-Erfurth U.
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Exudative macular disease

• A systematic correlation of central subfield thickness (CSFT) with retinal fluid volumes quantified by deep learning in the major exudative macular diseases.

  Retina. 2021 Dec 17

  Authors:
  Pawloff M, Bogunovic H, Gruber A, Michl M, Riedl S, Schmidt-Erfurth U.
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• AI-based monitoring of retinal fluid in disease activity and under therapy.

  Prog Retin Eye Res. 2021; Article in press

  Authors:
  Schmidt-Erfurth U, Reiter Gregor, Riedl S, Seeböck P, Vogl WD, Blodi B, Domalpally A, Fawzi A, Jia Y, Sarraf D, Bogunović H.
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• Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning

  [Ophthalmology. 2018;125(4):549-558]

  Authors:
  Schlegl T, Waldstein SM, Bogunovic H, Endstrasser F, Sadeghipour A, Philip AM, Podkowinski D, Gerendas BS, Langs G, Schmidt-Erfurth U
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AMD progression

• Deep survival modeling of longitudinal retinal OCT volumes for predicting the onset of atrophy in patients with intermediate AMD

  Biomed Opt Express. 2023 May 2;14(6):2449-2464. doi: 10.1364/BOE.487206. eCollection 2023 Jun 1.PMID: 37342683

  Authors:
  Rivail A, Vogl WD, Riedl S, Grechenig C, Coulibaly LM, Reiter GS, Guymer RH, Wu Z, Schmidt-Erfurth U, Bogunović H.
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• Characterization of Drusen and Hyperreflective Foci as Biomarkers for Disease Progression in Age-Related Macular Degeneration Using Artificial Intelligence in Optical Coherence Tomography

  [JAMA Ophthalmol. 2020;138(7):740-747]

  Authors:
  Waldstein SM, Vogl WD, Bogunovic H, Sadeghipour A, Riedl S, Schmidt-Erfurth U.
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• Prediction of Individual Disease Conversion in Early AMD Using Artificial Intelligence.

  [Invest Ophthalmol Vis Sci. 2018;59(8):3199-3208]

  Authors:
  Schmidt-Erfurth U, Waldstein SM, Klimscha S, Sadeghipour A, Hu X, Gerendas BS, Osborne A, Bogunovic H.
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AI development

• Linking Function and Structure with ReSenseNet: Predicting Retinal Sensitivity from Optical Coherence Tomography using Deep Learning.

  Ophthalmol Retina. 2022 Feb 5:S2468-6530(22)00043-4

  Authors:
  Seeböck P, Vogl WD, Waldstein SM, Orlando JI, Baratsits M, Alten T, Arikan M, Mylonas G, Bogunović H, Schmidt-Erfurth U.
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• Unbiased identification of novel subclinical imaging biomarkers using unsupervised deep learning.

  [Sci Rep. 2020; 10(1):12954]

  Authors:
  Waldstein SM, Seeböck P, Donner R, Sadeghipour A, Bogunović H, Osborne A, Schmidt-Erfurth U.
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• Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.

  [IEEE Trans Med Imaging. 2020;39(1):87-98. Erratum in: IEEE Trans Med Imaging. 2020;39(4):1291]

  Authors:
  Seebock P, Orlando JI, Schlegl T, Waldstein SM, Bogunovic H, Klimscha S, Langs G, Schmidt-Erfurth U.
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• RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge.

  [IEEE Trans Med Imaging. 2019;38(8):1858-1874]

  Authors:
  Bogunovic H, Venhuizen F, Klimscha S, Apostolopoulos S, Bab-Hadiashar A, Bagci U, Beg MF, Bekalo L, Chen Q, Ciller C, Gopinath K, Gostar AK, Jeon K, Ji Z, Kang SH, Koozekanani DD, Lu D, Morley D, Parhi KK, Park HS, Rashno A, Sarunic M, Shaikh S, Sivaswamy J, Tennakoon R, Yadav S, De Zanet S, Waldstein SM, Gerendas BS, Klaver C, Sanchez CI, Schmidt-Erfurth U.
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• f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.

  [Med Image Anal. 2019;54:30-44]

  Authors:
  Schlegl T, Seeböck P, Waldstein SM, Langs G, Schmidt-Erfurth U.
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• Artificial intelligence in retina.

  [Prog Retin Eye Res. 2018; 67:1-29]

  Authors:
  Schmidt-Erfurth U, Sadeghipour A, Gerendas BS, Waldstein SM, Bogunović H.
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• Deliberations of an International Panel of Experts on OCTA Nomenclature of nAMD.

  [Ophthalmology. 2020: S0161-6420(20)31198-2]

  Authors:
  Mendonça LSM, Perrott-Reynolds R, Schwartz R, Madi HA, Cronbach N, Gendelman I, Muldrew A, Bannon F, Balaskas K, Gemmy Cheung CM, Fawzi A, Ferrara D, Freund KB, Fujimoto J, Munk MR, Querques G, Ribeiro R, Rosenfeld PJ, Sadda SR, Sahni J, Sarraf D, Spaide RF, Schmidt-Erfurth U, Souied E, Staurenghi G, Tadayoni R, Wang RK, Chakravarthy U, Waheed NK.
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• Consensus Nomenclature for Reporting Neovascular Age-Related Macular Degeneration Data: Consensus on Neovascular Age-Related Macular Degeneration Nomenclature Study Group.

  [Ophthalmology. 2020;127(5):616-636. Erratum in: Ophthalmology. 2020;127(10):1434-1435]

  Authors:
  Spaide RF, Jaffe GJ, Sarraf D, Freund KB, Sadda SR, Staurenghi G, Waheed NK, Chakravarthy U, Rosenfeld PJ, Holz FG, Souied EH, Cohen SY, Querques G, Ohno-Matsui K, Boyer D, Gaudric A, Blodi B, Baumal CR, Li X, Coscas GJ, Brucker A, Singerman L, Luthert P, Schmitz-Valckenberg S, Schmidt-Erfurth U, Grossniklaus HE, Wilson DJ, Guymer R, Yannuzzi LA, Chew EY, Csaky K, Monés JM, Pauleikhoff D, Tadayoni R, Fujimoto J.
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• Guidelines for the Management of Retinal Vein Occlusion by the European Society of Retina Specialists (EURETINA).

  [Ophthalmologica. 2019;242(3):123-162]

  Authors:
  Schmidt-Erfurth U, Garcia-Arumi J, Gerendas BS, Midena E, Sivaprasad S, Tadayoni R, Wolf S, Loewenstein A.
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• Guidelines for the Management of Diabetic Macular Edema by the European Society of Retina Specialists (EURETINA).

  [Ophthalmologica. 2017;237(4):185-2229]

  Authors:
  Schmidt-Erfurth U, Garcia-Arumi J, Bandello F, Berg K, Chakravarthy U, Gerendas BS, Jonas J, Larsen M, Tadayoni R, Loewenstein A.
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• Guidelines for the management of neovascular age-related macular degeneration by the European Society of Retina Specialists (EURETINA).

  [Br J Ophthalmol. 2014;98(9):1144-67]

  Authors:
  Schmidt-Erfurth U, Chong V, Loewenstein A, Larsen M, Souied E, Schlingemann R, Eldem B, Monés J, Richard G, Bandello F.
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