Oliver Diaz
@ooliverdiaz
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Associate Professor at @UniBarcelona | Researcher in #AI for #health at @BCN_AIM | Previously at @ViCOROB & @cvssp_research | Fundador de @cienciacarbonik
Barcelona, Spain
Joined May 2015
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
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‼️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.
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It covers classification, regression, segmentation, foundation models & more With practical guidance to avoid common mistakes #MedAI #AIinHealthcare #MLmetrics #Radiology #TrustworthyAI
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📢 Check out this new open-access review just published! "Evaluation metrics in medical imaging AI: fundamentals, pitfalls, misapplications, and recommendations"
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🎙️ @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
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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.
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🎙️ 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
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⏳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
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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
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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
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⏳ 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
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📢 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
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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
aapm.onlinelibrary.wiley.com
Background Effective breast cancer treatment planning requires balancing tumor control while minimizing radiation exposure to healthy tissues. Choosing between intensity-modulated radiation therapy...
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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
docs.google.com
This survey has been compiled by the European Federation of Organisations for Medical Physics AI Special Interest Group Steering Committee. The overall aim of the questionnaire is to assist and...
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🚀 New Dataset Alert! The MAMA-MIA Breast Cancer MRI dataset is now publicly available! 🧵👇 🔍 What is MAMA-MIA? The largest expert-annotated breast DCE-MRI dataset for AI research! ✅ 1,506 MRI cases with 3D tumor segmentations ✅ 49 clinical & demographic variables
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Hot of the press: "Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks" https://t.co/0oO94zj8eX
#mdpijimaging @ProCAncer_I
mdpi.com
Prostate cancer (PCa) is currently the second most prevalent cancer among men. Accurate diagnosis of PCa can provide effective treatment for patients and reduce mortality. Previous works have merely...
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🚨 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
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¡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
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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
bmj.com
Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. This paper describes the FUTURE-AI...
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🔥 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‼️
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