Associate Professor at @UniBarcelona | Researcher in #AI for #health at @BCN_AIM | Previously at @ViCOROB & @cvssp_research | Fundador de @cienciacarbonik
🫂Today we've had the great experience of a joint lab meeting between our group and @BCN_AIM, with @KarimLekadir & @ooliverdiaz.
👩💻🧑🔬A morning full of scientific exchange, feedback and brainstorming that we hope is just the first step towards amazing collaborations and projects.
‼️METRICS E3 is now published in @InsightsImaging
💡A comprehensive open-access online tool including Explanation and Elaboration with Examples for METRICS
🔗https://t.co/KAm9lmR5KY
🔑METRICS-E3 will support stakeholders in evaluating the methodology of radiomics studies.
📢 Check out this new open-access review just published! "Evaluation metrics in medical imaging AI: fundamentals, pitfalls, misapplications, and recommendations" https://t.co/CjMTyLmbQW
Tienes muchas dudas sobre la Inteligencia artificial? Daremos un curso divulgativo sobre IA (https://t.co/GreHMTVAXq) en Julio en la Universidad de Barcelona. Comentaremos qué está detrás de los algoritmos de IA, Deep learning, La Inteligenica generativa (Deepfakes) e IA ética.
🎙️ LIVE now! 👀
Prof. @ooliverdiaz is presenting on the FUTURE-AI guidelines 🩺
With a spotlight on breast cancer imaging, diving deep into explainability, traceability, and the future of ethical AI in clinical practice 🧬
#HorizonEU#EUfunded#Webinar
⏳Just a few days left until our webinar! 😍
Join RadioVal, co-organised by @EIBIR_biomed & @myESR, for insights on trustworthy AI in breast cancer imaging 🧬
🎙️ Prof. @ooliverdiaz on FUTURE-AI guidelines
✅ Register: https://t.co/fwR2q8VepY
#HorizonEU#EUfunded#ExplainableAI
FID has many limitations for medical images (e.g., downstream task misalignment). Introducing the Fréchet Radiomic Distance (FRD): a metric designed from the ground up for better characterizing medical images, led by me and @1richardobinna! Code/paper: https://t.co/O7GC3jKvxZ
Great to wrap up another successful Consortium Meeting as we look ahead with momentum 🚀
Huge thanks to all our partners for bringing so much dedication and energy!
We made solid progress, tackled some big topics, and laid the groundwork for what’s coming next! ✨
#HorizonEU
⏳ Less than a month to go! Join RadioVal’s free webinar on June 25 at 10:00 CEST 🎯
Prof. @ooliverdiaz explores the FUTURE-AI guideline & its role in explainable, trustworthy #AI for breast cancer imaging 💡
ℹ️ Register: https://t.co/vaK2mXa2bR
#HorizonEU#EUfunded#FUTUREAI
📢 Join our Upcoming Webinar! ✨
Join @RadioVal_AI FREE webinar on June 25, 10:00 CEST!
🎙️ Prof. @ooliverdiaz explores the #FUTUREAI guideline & explainable AI in breast cancer imaging.
🔗 Register: https://t.co/fwR2q8VepY
#HorizonEU#EUfunded#FUTUREAI
NOTABLE ARTICLE, March 2025 #MedicalPhysics: "Breast radiotherapy planning: A decision‐making framework using deep learning." #MPJ#MarchNotableArticle
Please join us in congratulating Jaime Perez-Alija and their team whose article was selected.
https://t.co/aptCnYQlbN
The questionnaire is targeted at all colleagues working in Medical Physics, in clinical, academic, government/regulator, and industry roles, regardless of their level of experience or knowledge of Al. @EFOMP_org
https://t.co/Uww32YueR3
Hot of the press: "Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks" https://t.co/0oO94zj8eX #mdpijimaging@ProCAncer_I
This paper describes the FUTURE-AI framework, which provides guidance for the development and deployment of trustworthy AI tools in healthcare, @KarimLekadir and colleagues
https://t.co/VMOdLpa88g
🔥 Registration for the EuCanImage workshop at ECR 2025 is open 🔥
📅 26 February 2025
🕐 13:00 – 17:00
🏙️ hashtag#ECR2025, Vienna, Austria
👉 Registration: https://t.co/4bSOnniGnD
Workshop participants have a chance to become co-authors of a scientific paper���️