Machine learning for retinal image analysis | Post-doc at UCL Institute of Ophthalmology
Joined September 2020
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Justin Engelmann retweeted
New in the Math Issue bit.ly/45cPGtf, Justin Engelmann et al. @JustEngelmann @EdinUniUsher report on Applicability of Oculomics for Individual Risk Prediction: Repeatability and Robustness of Retinal Fractal Dimension Using DART and AutoMorph, iovs.arvojournals.org/articl….
Justin Engelmann retweeted
Excellent work by @JustEngelmann, Jamie Burke, et al. helps unlock information in the retinal choroid.
Choroidalyzer: An Open-Source, End-to-End Pipeline for Choroidal Analysis in Optical Coherence Tomography iovs.arvojournals.org/articl… @EdinUniImaging @EdinUniUsher
Justin Engelmann retweeted
New in the Mathematical and Computational Ophthalmology Issue bit.ly/45cPGtf, Justin Engelmann and Jamie Burke et al. @JustEngelmann @EdinUniMaths report on their Choroidalyzer: An Open-Source, End-to-End Pipeline for Choroidal Analysis in OCT, iovs.arvojournals.org/articl….
Justin Engelmann retweeted
Discover how patient eye data from @Moorfields and @uhbtrust is empowering research through INSIGHT on our new web page.
- Follow the patient data journey
- Understand patient choices
- Find recent research breakthroughs
- Get involved
#datasavessight
🔗bit.ly/datasavessight
Justin Engelmann retweeted
We are thrilled to share that our new retinal foundation model, "RETFound" published today in @Nature! To our knowledge, RETFound is the first #opensource foundation model for retinal images and one of the earliest across all medical imaging fields.
nature.com/articles/s41586-0…
Just published @Nature
1st major large language model in medicine
Self-supervised #AI of 2 million retina images to predict many diseases beyond the eye, such as heart attack, stroke, heart failure, Parkinson's disease
nature.com/articles/s41586-0… led by @pearsekeane @Yukunzhou19
Justin Engelmann retweeted
🌟Very proud to see part of my PhD work published now in @CommsBio, where we show that retinal vascular complexity (aka fractal dimension) has a potential predictive value for myocardial infarction in @uk_biobank, supported by shared 🧬processes🌟
(🧵in the making)
A #GWAS from @anavillave, @erolaPC, & @mobernabeu finds an inverse relationship between the progression of coronary artery disease & retinal vasculature complexity measured as fractal dimension
nature.com/articles/s42003-0…
Justin Engelmann retweeted
Great work by @JustEngelmann
Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning | Nature Machine Intelligence nature.com/articles/s42256-0…
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