R
Reena Chopra
Researcher at Moorfields Eye Hospital
Publications - 39
Citations - 2604
Reena Chopra is an academic researcher from Moorfields Eye Hospital. The author has contributed to research in topics: Macular degeneration & Deep learning. The author has an hindex of 11, co-authored 37 publications receiving 1618 citations. Previous affiliations of Reena Chopra include Government of the United Kingdom & National Institute for Health Research.
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Journal ArticleDOI
Clinically applicable deep learning for diagnosis and referral in retinal disease
Jeffrey De Fauw,Joseph R. Ledsam,Bernardino Romera-Paredes,Stanislav Nikolov,Nenad Tomasev,Sam Blackwell,Harry Askham,Xavier Glorot,Brendan O'Donoghue,Daniel Visentin,George van den Driessche,Balaji Lakshminarayanan,Clemens Meyer,Faith Mackinder,Simon Bouton,Kareem Ayoub,Reena Chopra,Dominic King,Alan Karthikesalingam,Cian Hughes,Rosalind Raine,Julian Hughes,Dawn A Sim,Catherine A Egan,Adnan Tufail,Hugh Montgomery,Demis Hassabis,Geraint Rees,Trevor Back,Peng T. Khaw,Mustafa Suleyman,Julien Cornebise,Pearse A. Keane,Olaf Ronneberger +33 more
TL;DR: A novel deep learning architecture performs device-independent tissue segmentation of clinical 3D retinal images followed by separate diagnostic classification that meets or exceeds human expert clinical diagnoses of retinal disease.
Journal ArticleDOI
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study
Livia Faes,Siegfried K Wagner,Siegfried K Wagner,Dun Jack Fu,Xiaoxuan Liu,Xiaoxuan Liu,Xiaoxuan Liu,Edward Korot,Joseph R. Ledsam,Trevor Back,Reena Chopra,Reena Chopra,Nikolas Pontikos,Christoph Kern,Christoph Kern,Gabriella Moraes,Martin Schmid,Dawn A Sim,Dawn A Sim,Konstantinos Balaskas,Konstantinos Balaskas,Lucas M. Bachmann,Alastair K Denniston,Pearse A. Keane,Pearse A. Keane +24 more
TL;DR: All models, except the automated deep learning model trained on the multilabel classification task of the NIH CXR14 dataset, showed comparable discriminative performance and diagnostic properties to state-of-the-art performing deep learning algorithms.
Journal ArticleDOI
Predicting conversion to wet age-related macular degeneration using deep learning
Jason Yim,Reena Chopra,Terry Spitz,Jim Winkens,Annette Obika,Christopher Kelly,Harry Askham,Marko Lukic,Josef Huemer,Katrin Fasler,Gabriella Moraes,Clemens Meyer,Marc Wilson,Jonathan Mark Dixon,Cian Hughes,Geraint Rees,Peng T. Khaw,Alan Karthikesalingam,Dominic King,Demis Hassabis,Mustafa Suleyman,Trevor Back,Joseph R. Ledsam,Pearse A. Keane,Jeffrey De Fauw +24 more
TL;DR: In individuals diagnosed with age-related macular degeneration in one eye, a deep learning model can predict progression to the ‘wet’, sight-threatening form of the disease in the second eye within a 6-month time frame, and demonstrates the potential of using AI to predict disease progression.
Journal ArticleDOI
Deep Learning for Predicting Refractive Error From Retinal Fundus Images
Avinash V. Varadarajan,Ryan Poplin,Katy Blumer,Christof Angermueller,Joseph R. Ledsam,Reena Chopra,Pearse A. Keane,Greg S. Corrado,Lily Peng,Dale R. Webster +9 more
TL;DR: In this paper, a deep learning algorithm was used to predict refractive error from retinal fundus images and validated it on 24,007 UK Biobank and 15,750 AREDS images.
Journal ArticleDOI
Balance control in glaucoma.
Aachal Kotecha,Aachal Kotecha,Greg A. Richardson,Reena Chopra,Rachel T. A. Fahy,David F. Garway-Heath,Gary S. Rubin,Gary S. Rubin +7 more
TL;DR: Glaucoma patients display differences in their visual and somatosensory contributions to quiet standing balance compared with control subjects, associated with the degree of binocular visual field loss, which suggests that balance control may be compromised in this patient group.