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Robbert Struyven
Robbert Struyven
University College London
Artificial intelligence
Machine learning
Computer science
Counterfactual thinking
Wet age-related macular degeneration
3
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2
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Using the What-if Tool to perform nearest counterfactual analysis on an AutoML model that predicts visual acuity outcomes in patients receiving treatment for wet age-related macular degeneration
2021
Investigative Ophthalmology & Visual Science
Abdallah Abbas
Sara Beqiri
Siegfried K Wagner
Edward Korot
Ritvij Singh
Robbert Struyven
Pearse A. Keane
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Investigating the impact of saliency maps on clinician’s confidence in model predictions
2021
Investigative Ophthalmology & Visual Science
Sara Beqiri
Abdallah Abbas
Edward Korot
Siegfried K Wagner
Robbert Struyven
Madeline Kelly
Ritvij Singh
Daniel Ferraz
Mariana Batista Goncalves
Josef Huemer
Hagar Khalid
Laxmi Raja
Pearse A. Keane
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Exploring the What-If-Tool as a solution for machine learning explainability in clinical practice
2021
Investigative Ophthalmology & Visual Science
Ritvij Singh
Abdallah Abbas
Sara Beqiri
Edward Korot
Robbert Struyven
Peter Woodward-Court
Pearse A. Keane
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