
Yukun Zhou
@yukunzhou19
PhD student at @CmicUcl and @MoorfieldsBRC. I have been working on retinal vessel analysis and model generalisability to large-scale clinical data.
ID: 1223393686777729024
https://rmaphoh.github.io/ 31-01-2020 23:52:48
148 Tweet
243 Followers
201 Following

We are delighted to share that Yukun Zhou has won the Robert Speller Prize for best PhD paper. Yukun led development of the first-ever #AI foundation model for eye health with Daniel Alexander & Pearse Keane UCL Institute of Ophthalmology UCL Medical Physics & Biomedical Engineering UCL CMIC Moorfields Eye Hospital NHS Foundation Trust ⬇️ wix.to/bLy7Ixk

Catch up on advances in AI for #ophthalmology in this seminar given for Broad Institute's #MachineLearning for Health initiative ML4H With INSIGHT director Pearse Keane and Yukun Zhou of Moorfields Eye Hospital NHS Foundation Trust UCL Institute of Ophthalmology UCL CMIC UCL Medical Physics & Biomedical Engineering #oculomics bit.ly/48Ij3pl

New paper alert! rdcu.be/dvstu Our review paper on Data-Driven Disease Progression Modelling (D3PM) was published in Nature Rev Neurosci yesterday, co-led by myself, Alex Young, & Daniel Alexander at UCL Computer Science and UCL CMIC

Congratulations to professors Dan Stoyanov and Daniel Alexander Daniel Alexander on recently being honoured as IEEE fellows. Read about their fellowship: ucl.ac.uk/computer-scien… UCL Engineering WEISS UCL CMIC

I ironically missed this fantastic talk by Eric Topol on "Can #AI catch what doctors miss?", until it was flagged for me. Discusses the impact of #AI on medical imaging. Cites a lot of impressive work including by Pearse Keane Yukun Zhou. TED Talks: ted.com/talks/eric_top…



🌍Global Perspectives Digital Health🌏 A thoughtful new series on #AI in #LMIC settings, hosted by Shubs Upadhyay - thanks for having me on to chat about #healthdatapoverty and STANDING Together! youtube.com/watch?v=m3Lo9B…

INSIGHT director Pearse Keane shares the medical #AI advances of Moorfields Eye Hospital NHS Foundation Trust UCL Institute of Ophthalmology University Hospitals Birmingham at Mass Eye and Ear as part of the #ophthalmology Grand Rounds series. For more on our data and AI capabilities: 🔗 insight.hdrhub.org

How do you train a Large Language Model in #ophthalmology, and what potential do they hold in clinical settings? Join Fares Antaki of @UCLEye Moorfields Eye Hospital NHS Foundation Trust for a deep dive this Tuesday 11:30 BST. Hosted by Yong Loo Lin School of Medicine with Yih Chung Tham 🔗Register here: bit.ly/4bCjGCr


Meet the Rising Stars! ⭐ Each month we will be interviewing one of the 10 inaugural rising stars featured in The Ophthalmologist. Our next interview is with Siegfried Wagner on June 25 📅 Watch it live at 4pm EU/London time by registering below! bit.ly/42kdUlp


Check out our open access review on Foundation models in ophthalmology in Ophthalmology at BMJ. A roadmap for clinicians seeking to better understand foundation models, including large language models. bjo.bmj.com/content/early/… Work by Mark Chia (+ Yukun Zhou, Angus Turner, Aaron Lee,

📣 Announcing Dr. Yukun Zhou Yukun Zhou as a speaker for #ML4H! Creator of RETFound and AutoMorph, his groundbreaking work on AI for ophthalmology is transforming retinal imaging and medical diagnostics. 👁️🤖 #ML4H2024


Editorial by Mark Chia, PhD, Yukun Zhou, PhD, and Pearse Keane, MD: A New Foundation Model for Multimodal Ophthalmic Images: Advancing Disease Detection and Prediction nejm.ai/49hFZgy #AIinMedicine




Writing for NEJM AI, our colleagues and co-creators of the world's first #AI foundation model in #ophthalmology assess progress in the field. Mark Chia Yukun Zhou Pearse Keane of UCL Institute of Ophthalmology Moorfields Eye Hospital NHS Foundation Trust with NIHR Moorfields BRC Moorfields Eye Charity #RETFound bit.ly/49Qs5T6

A new foundation model for ophthalmic images demonstrates important progress, particularly through its flexible approach to multimodal training and its application to image segmentation tasks. Editorial by Mark Chia, Yukun Zhou, and Pearse Keane: nejm.ai/49hFZgy


Excited to announce the publication of our paper in Nature Communications showing a solution for arriving at the Retinal Pigment Score and finding biomarkers to use instead of race: ethnicity is not biology. Congrats to Anand Rajesh! nature.com/articles/s4146…


As noted by Eric Topol, researchers from the UK, China, US and Singapore have developed a deep-learning system using retinal fundus images to detect #Lupus - a serious autoimmune disorder predominantly affecting women.