Oliver Diaz

Associate Professor at @UniBarcelona | Researcher in #AI for #health at @BCN_AIM | Previously at @ViCOROB & @cvssp_research | Fundador de @cienciacarbonik

[Radiomics Group @radiomicsVHIO]

🫂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.

[Insights into Imaging @InsightsImaging]

The new METRICS-E3 resource, developed by EuSoMII Radiomics Auditing Group, provides:
✅ Detailed guidance for METRICS use
✅ >200 real + hypothetical examples
✅ Recommendations to improve rigor & reproducibility
(Burak Kocak et al.)

#InsightsintoImaging

https://t.co/n3iBZddsZy

@AAmmirabileMD @Dr_Shackleton @cannella_rob @gennadanna @ooliverdiaz @SC_Fanni @Klonmich @A_PonsiglioneMD @StanzioneMD @DrF_Vernuccio @renatocuocolo

[Roberto Cannella @cannella_rob]

‼️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.

[Oliver Diaz @ooliverdiaz]

It covers classification, regression, segmentation, foundation models & more
With practical guidance to avoid common mistakes

#MedAI #AIinHealthcare #MLmetrics #Radiology #TrustworthyAI

[Oliver Diaz @ooliverdiaz]

📢 Check out this new open-access review just published! "Evaluation metrics in medical imaging AI: fundamentals, pitfalls, misapplications, and recommendations" https://t.co/CjMTyLmbQW

[Radio Val @RadioVal_AI]

🎙️ @RadioVal_AI shared its work on #AI for breast cancer imaging in a webinar by @myESR & @EIBIR_biomed !
🔍 Prof. @ooliverdiaz presented the FUTURE-AI guidelines for #trustworthy, #explainable AI 🧠
🎥 Missed it? Watch here 👇 https://t.co/RThwtoT4Fr
#HorizonEU #EUfunded

[petia radeva @radevap]

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.

[Radio Val @RadioVal_AI]

🎙️ 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

[Radio Val @RadioVal_AI]

⏳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

[Nick Konz @nick_konz]

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

[Radio Val @RadioVal_AI]

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

[Radio Val @RadioVal_AI]

⏳ 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

[Radio Val @RadioVal_AI]

📢 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

[American Association of Physicists in Medicine @aapmHQ]

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

[SEFM @SEFM_redes]

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

[Oliver Diaz @ooliverdiaz]

Hot of the press: "Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks" https://t.co/0oO94zj8eX #mdpijimaging @ProCAncer_I

[Radio Val @RadioVal_AI]

🚨 Calling all #Radiologists! 🚨
🔍 Join @EuCanImage hands-on workshop at #ECR2025 and get involved in a one-of-a-kind in silico trial!
®️ Secure your spot today: https://t.co/GfiRWpxo9s
#HorizonEU #EUfunded #Radiology

[Fisica Médica ALFIM @ALFIM_FisMed]

¡Curso imperdible en ALFIM 2025!

🧠 "Inteligencia Artificial en Radiodiagnóstico"
👨‍🏫 Oliver Díaz - @UniBarcelona, #España
📍 La Antigua #Guatemala | 📅 9-12 de marzo de 2025

#ALFIM2025 #IA #Radiodiagnóstico #FísicaMédica

[The BMJ @bmj_latest]

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

[EuCanImage @EuCanImage]

🔥 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���️