Westmead Institute for Medical Research

output

20152022

most citedA deep learning model for segmentation of geographic atrophy to study its long-term natural history

67 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

A. Arnott1 · h 21
Adam J. Svahn1 · h 7
A. Lubotzky1 · h 52
Bertrand R'emy1 · h 2
B. Ginneken1 · h 58
B. Liefers1 · h 12
Caroline C. W. Klaver1
C. González-Gonzalo1 · h 6
C. Hoyng1 · h 92
C. I. Sánchez1 · h 42
C. Klaver1 · h 86
Clara I. Sá‎nchez1

collaborating institutions

The University of SydneyAU2 papers
Westmead InstituteAU2 papers
Centre de Mathématiques Laurent SchwartzFR1 paper
Curtin UniversityAU1 paper
Donders Institute for Brain, Cognition and BehaviourNL1 paper
Duke-NUS Medical SchoolSG1 paper
Erasmus MCNL1 paper
Erasmus University RotterdamNL1 paper
Institute of Molecular and Clinical Ophthalmology BaselCH1 paper
National University of SingaporeSG1 paper
New South Wales Department of HealthAU1 paper
Radboud University Medical CenterNL1 paper

Showing eess.IVShow all

1 paper · 1 filter

eess.IV2019★ 67 cited

A deep learning model for segmentation of geographic atrophy to study its long-term natural history

Bart Liefers, Johanna M. Colijn, Cristina González-Gonzalo +6

Purpose: To develop and validate a deep learning model for automatic segmentation of geographic atrophy (GA) in color fundus images (CFIs) and its application to study growth rate…