🎉 We’ve wrapped up our first Data Challenge of the year!
Congratulations to the winners for their fantastic presentation and teamwork! Amazing job to everyone who participated—you’ve set the bar high for the year ahead! 🚀
#DataChallenge#Congrats
🎉 Big congrats to @ThaliaSeale4 for winning the Bill & Gary Sanders Poster Award at #CinC2024 in Karlsruhe! 🌍 We are so proud of Thalia’s achievements and excited to see how her work will shape the future of cardiology! ✨https://t.co/Hz29ZYaGXj
Curious about pursuing a DPhil in Healthcare Data Science at Oxford? Join us for the EPSRC CDT in Healthcare Data Science Open Day!
📅 When: 24 October 2024, 2:00 pm – 4:00 pm
🖥️ Mode: Online
🔗 Register today to secure your spot!
https://t.co/wjkqubLz8J
HDS CDT is now open to applications for autumn 2025 entry. We're offering opportunities for doctoral study and research in data science within the context of ethically-responsible health research.
Apply here ➡️https://t.co/QrfrKQ3gsc…
Deadline: 3rd December 2024
HDS CDT is now open to applications for autumn 2025 entry. We're offering opportunities for doctoral study and research in data science within the context of ethically-responsible health research.
Apply here ➡️https://t.co/QrfrKQ3gsc…
Deadline: 3rd December 2024
📢 New Paper Alert! 📝
“TextCAVs: Debugging vision models using text” @imimicworkshop#MICCAI 2024
📄 https://t.co/WrTobvQTGE
💻 https://t.co/DzXFptrW2T
Can we explain vision models using text embeddings? We show TextCAVs can debug models without any labelled data. 🧵(1/7)
Zhiyan will be presenting her work on "Deep Learning Models to Automate the Scoring of Hand Radiographs for Rheumatoid Arthritis" coming from our collaboration with @ndorms (Laura C. Coates)
Read more:
https://t.co/Zib5pNQHVw
@bdi_oxford@Oxford_NDPH@UniofOxford
📢 New publication to be presented at #MICCAI2024!
💪 A semi-supervised causal generative model for learning from a range of partially annotated data settings.
👀 Check out our research: https://t.co/OpoO5mNKO7
#causalml#medicalimaging
(1/4)
💥 Happening in 10 days! 📷
@Francesco_dgv and @KKapusniak1 will talk about their recent paper on Metric Flow Matching (MFM), a novel generative approach using data-induced Riemannian metrics for more accurate interpolations.
Hosted by
@mmbronstein and @befcorreia
📅 Fri, Jul 05, 2024; 11am ET / 5pm CET / 8am PST
Sign-up link in comments.
Interested in learning more about wearables in large-scale biomedical studies?
We're running a residential short course from 22 - 26 September at Oxford
Includes: inspirational speakers, great tutors, and hands-on data analysis.
https://t.co/5tB4QKfHvo
⭐️Ethox x Reuben College - AI Ethics: Industry Perspectives on Responsible Innovation🤖 Join this panel discussion on Tuesday, 18 June 2024, 14.00 to 15:30 in person
@bdi_oxford
or Online Details & registration📷 ⬇️
https://t.co/Bm1X6k9BSD
Exciting work from @HDSCDT Cohort 5 student @KKapusniak1 - all coming from his first research rotation in year 1 of the programme. Congratulations Kacper! 🥳
Our lab is seeking enthusiastic intern to contribute to a project on "Learning anatomy of the spine using Foundation Models"
Read more:
https://t.co/yqjK02pcx8
How to apply:
https://t.co/bEqDRJkk2M
@bdi_oxford@Oxford_NDPH@UniofOxford
Applications are now open for the Oxford BDI @bdi_oxford Summer Internship Programme! This is a great opportunity for undergraduates to get experience with one of 4 projects utilizing large-scale biomedical data.
https://t.co/wMfPvbtSw2
📢 New paper from @HDSCDT Cohort 2 student Angus Nicolson. Congrats Angus! 🥳
"Explaining Explainability: Understanding Concept Activation Vectors"
Check it out here 👉 https://t.co/fQZOun1XNU
📢 New Paper Alert! 📝 "Explaining Explainability: Understanding Concept Activation Vectors" 📄https://t.co/jRbeY9Zahg
What does it mean to represent a concept as a vector?
We explore three key properties of concept vectors and how they can affect model interpretations. 🧵(1/5)
📢 NEWS: Speakers & panellists announced for the International Pandemic Sciences Conference 2024.
We're thrilled to be joined by so many global experts from academia, policy & industry this July 🌍
Meet our speakers 👇
https://t.co/DhrV6ZmVlH
Register👇
https://t.co/xGbzKBuCC3
Claudia Vanea (@HDSCDT Cohort 1 student) has had her work published in @NatureComms
Congratulations @claudiavanea 🎉
Check it out here: https://t.co/wmY8i7T0Mz
Very happy that HAPPY is published at @NatureComms!
https://t.co/2XyXJdtWj0
HAPPY is an AI pipeline for cell and micro-anatomical tissue analysis in placenta histology. The placenta has seen relatively little attention in AI for digital pathology and it’s time we change that 🧵
Interested in medical AI and digital health? Register for the inaugural Digital Health Horizons conference, co-organised by @HDSCDT Cohort 5 student Emma Walker, on 16th May at Jesus College, Oxford.
Abstract submission deadline: 15th April
https://t.co/NlcJPvHeVK
The Digital Health Horizons Summit (May 16th, Digital Hub) invites abstract submissions for lightning talks and/or poster presentations which showcase tech and healthcare, and which offer insights into the future of medicine and patient care.
Details 👇
https://t.co/PcYbqi7qJq
📢⭐️ Excellent work by Ellie in our group @ockee99 - near meta-analysis of 192 ultrasound studies on hepatic schistosomiasis over 40 years. Identification of use cases, protocol applications, validation, & technology updates. WHO protocol updates needed! https://t.co/jlEw2q0Oab