3 Works

Quantitative analysis of optical coherence tomography for neovascular age-related macular degeneration using deep learning

Gabriella Moraes, Dun Jack Fu, Marc Wilson, Hagar Khalid, Siegfried K. Wagner, Edward Korot, Daniel Ferraz, Livia Faes, Christopher J. Kelly, Terry Spitz, Praveen J. Patel, Konstantinos Balaskas, Tiarnan D. L. Keenan, Pearse A. Keane & Reena Chopra
Purpose: To apply a deep learning algorithm for automated, objective, and comprehensive quantification of optical coherence tomography (OCT) scans to a large real-world dataset of eyes with neovascular age-related macular degeneration (AMD), and make the raw segmentation output data openly available for further research. Design: Retrospective analysis of OCT images from the Moorfields Eye Hospital AMD Database. Participants: 2473 first-treated eyes and another 493 second-treated eyes that commenced therapy for neovascular AMD between June 2012...

Data from: Attention-related modulation of caudate neurons depends on superior colliculus activity

James Herman, Fabrice Arcizet & Richard Krauzlis
Recent work has implicated the basal ganglia in visual perception and attention, in addition to their traditional role in motor control. The basal ganglia, especially the caudate nucleus “head” (CDh) of the striatum, receive indirect anatomical connections from the superior colliculus (SC), a midbrain structure that is known to play a crucial role in the control of visual attention. To test the possible functional relationship between these subcortical structures, we recorded CDh neuronal activity before...

Data from: Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes

Andrew Skol, Segun Jung, Ana Marija Sokovic, Siquan Chen, Sarah Fazal, Olukayode Sosina, Poulami Borkar, Amy Lin, Maria Sverdlov, Dingcai Cao, Anand Swaroop, Ionut Bebu, Barbara Stranger & Michael Grassi
We determined differential gene expression in response to high glucose in lymphoblastoid cell lines derived from matched individuals with type 1 diabetes with and without retinopathy. Those genes exhibiting the largest difference in glucose response were assessed for association to diabetic retinopathy in a genome-wide association study meta-analysis. Expression Quantitative Trait Loci (eQTLs) of the glucose response genes were tested for association with diabetic retinopathy. We detected an enrichment of the eQTLs from the glucose...

Registration Year

  • 2020
    3

Resource Types

  • Dataset
    3

Affiliations

  • National Eye Institute
    3
  • Northwestern University
    1
  • Institut de la Vision
    1
  • George Washington University
    1
  • Johns Hopkins University
    1
  • University of Chicago
    1
  • University of Illinois at Chicago
    1
  • Lurie Children's Hospital
    1
  • Moorfields Eye Hospital
    1
  • Moorfields Eye Hospital NHS Foundation Trust
    1