Machine learning for retinal image analysis | Post-doc at UCL Institute of Ophthalmology
Joined September 2020
- Tweets 74
- Following 967
- Followers 200
- Likes 499
13 Photos and videos
Justin Engelmann retweeted
6 Jun 2024
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….
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Justin Engelmann retweeted
4 Jun 2024
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
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Justin Engelmann retweeted
4 Jun 2024
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….
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Justin Engelmann retweeted
11 Mar 2024
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
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Justin Engelmann retweeted
13 Sep 2023
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…
13 Sep 2023
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
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13 Sep 2023
Very cool work by @Yukunzhou19 @markachia @pearsekeane & Co developing a foundation model for retinal imaging AND making it open source (🤯). Can't wait to use it in my research!
13 Sep 2023
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🚨🚨 New paper alert 🚨🚨
Introducing RETFound, a foundation model for ophthalmology
We’re super excited about this and hope it will act as a #Cornerstone for global efforts to prevent blindness through #AI
@UCLeye @Moorfields
#OpenAccess @Nature
nature.com/articles/s41586-0…
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Justin Engelmann retweeted
16 May 2023
🌟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)
16 May 2023
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…
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15 Dec 2022
Our paper on DL-based disease detection in ultra-widefield retinal images is now out in @NatMachIntell (I'm incredibly excited, a PhD milestone🥳)
We present a promising model, and investigate whether the increased field of view is useful (Spoiler: results are surprising! 🤯) 1/n
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15 Dec 2022
Huge thanks to my supervisors @mobernabeu @AmosStorkey, co-authors Alice McTrusty @MaccormickIan Emma Pead; Prof. Hitoshi Tabuchi & colleagues at Tsukazaki for pioneering research and dataset. I'm at @EdinUniUsher @InfAtEd, support from @BioMedAI_CDT @UKRI_News @SCONeResearch 9/n
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15 Dec 2022
Check out the paper for more details and additional results!
Paper: nature.com/articles/s42256-0…
Free access: rdcu.be/c1f5v
Code/Model: github.com/justinengelmann/U…
Questions/comments/feedback are very welcome and appreciated. Cheers! #retina #AI #Ophthalmology
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Justin Engelmann retweeted
8 Dec 2022
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…
@EdinUniUsher
@InfAtEd
@EcatTrack
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21 Sep 2022
Finally attending the first conference of my PhD: #MICCAI2022 in Singapore. I've met so many amazing people already, looking forward to the final day tomorrow! PS: Come find me at the OMIA workshop tomorrow for my poster 😁 @MICCAI_Society @BioMedAI_CDT
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