EuCanImage

🚀 Explore Cutting-Edge AI Tools in Real-World Radiology Applications! Would you like to explore AI tools in real-world applications using real radiology datasets? Would you like to compare manual (human-generated) segmentation with AI-powered automatic segmentation?  Join us at the ECR 2025 EuCanImage AI Workshop! 🎯    We will provide you with three AI-powered image annotation tools (for liver, colorectal, and breast cancer research), datasets, and guidance to experience these tools hands-on.   ✨ The participants will be a co-author in an international journal publication summarizing the results of the workshop. 📅 When? February 26th, 2025  📍 Where? Vienna, at the European Congress of Radiology (ECR) 2025 For more information and registration, visit: https://lnkd.in/eq-VVEwM  University of Barcelona | Artificial Intelligence in Medicine Lab (BCN-AIM) | Umeå University | Erasmus MC | Gdański Uniwersytet Medyczny (Medical University of Gdańsk) | radiomics.bio | Siemens Healthineers | Collective Minds | The European Institute for Biomedical Imaging Research (EIBIR) #EuCanImage #ECR2025 #MedicalImaging #ArtificialIntelligence #RadiologyInnovation 

Just returned from #ECR2025, where I had the opportunity to showcase the progress we've made with the EuCanImage consortium! 🚀 A huge thank you to the EuCanImage consortium and my team at radiomics.bio! Looking forward to continuing this journey together!

🔬 BCN-AIM at #ECR2025 At #ECR2025, the leading congress for radiologists, Karim Lekadir, Jamilia Arykbaeva, and Lidia Garrucho Moras represented Artificial Intelligence in Medicine Lab (BCN-AIM), showcasing two pioneering projects shaping the future of AI in medical imaging. • EuCanImage   📢 Talk by Karim Lekadir – He presented the outcomes of #EuCanImage, which connects imaging archives to enable access to 24K annotated cases across three cancer types—a groundbreaking result in data-driven oncology!  🛠️ Workshop by EuCanImage – In this interactive session, the participants could run an in-silico trial, testing automatic segmentation models on three use cases (breast cancer on MRI, liver HCC on MRI, liver metastases on CT) and compare it with manual segmentations made by radiologists. They learned how to leverage both imaging and non-imaging clinical data to advance personalized healthcare and research methodologies.  • #FUTUREAI   📢 Talk by Karim Lekadir – Exploring how #FUTUREAI is setting the standard for trustworthy, ethical AI in healthcare and explaining the recently published guidelines to translate AI principles into real-world clinical applications. (Lekadir et al., 2025, BMJ article: https://lnkd.in/dExab2VD) Missed the event? Watch the sessions here:  🔗 EuCanImage & FUTURE-AI Talks: https://lnkd.in/dkNfaTmY #MedicalImaging #AIinHealthcare #FUTUREAI #EuCanImage   Maciej Bobowicz - Gdański Uniwersytet Medyczny (Medical University of Gdańsk)   Katrine Riklund - Umeå universitet (Umeå University)  Stefan Klein - Erasmus MC  Marcel Koek - Biomedical Imaging Group Rotterdam  Lidia Garrucho Moras - Artificial Intelligence in Medicine Lab (BCN-AIM)  Samuele Ghezzo - radiomics.bio  Tobias Heimann - Siemens Healthineers  Anders With, Anders Nordell, Maria Von Der Pahlen, Embla Klingberg - Collective Minds  Agniezska Skwara, Peter Gordebeke - The European Institute for Biomedical Imaging Research (EIBIR)  Universitat de Barcelona | European Society of Radiology (ESR) 

✨#ECR2025 united leaders in medical imaging, showcasing AI-driven healthcare innovations✨ The European Congress of Radiology (ECR2025) in Vienna (Feb 26 – March 2) kicked off with an impactful workshop on the EuCanImage project: 🔹 European Cancer Imaging Platform for Development of Trustworthy AI in Oncology The workshop explored advanced clinical data integration and insights from the EuCanImage project: It was led by Maciej Bobowicz, Katrine Riklund, Marcel Koek, and Stefan Klein. During ECR 2025, Prof. Karim Lekadir also presented several lectures on the RadioVal project: 🔹RadioVal: the AI advantage, charting new frontiers in clinical decision-making (with Gianna Tsakou) 🔹Holistic and trustworthy AI evaluation in breast cancer imaging: the #RadioVal project The congress also featured numerous events dedicated to the European Federation for Cancer Images (EUCAIM) project: 🔹Interview with Gianna Tsakou - co-lead of #EUCAIM’s Data Federation & Interoperability activities: ✅Gianna Tsakou delivered an insightful interview at #ECR: From Fragmentation to Integration: EUCAIM’s impact on the future of cancer imaging and AI 🔹 EIBIR Sessions on #EUCAIM: ✅ Artificial Intelligence (AI) for Health Imaging: Transforming Cancer Diagnosis and Analysis with Advanced Image Repositories ✅ The #EUCAIM Project: Building an Artificial Intelligence (AI)-Driven Future for Cancer Diagnostics 🔹 EUCAIM Demonstrations & Training: ✅ EUCAIM User Training Demonstration for engaging with the Cancer Image Europe platform ✅ Meet the #EUCAIM Leadership to learn about Cancer Image Europe – A session with Prof. Luis Marti-Bonmati (Scientific Coordinator), Peter Gordebeke (Project Coordinator), and Mario Aznar (EUCAIM’s Sustainability Lead) ✅ #EUCAIM Secure Processing Environment Demonstration of the Cancer Image Europe platform – Led by Prof. Ignacio Blanquer Espert ✅ #EUCAIM Benchmarking Demonstration within the Cancer Image Europe platform – Presented by Dr. Leonor Cerdá-Alberich ✅ #EUCAIM Dashboard Demonstration - how to request and access data – Led by Prof. Ignacio Blanquer Maciej Bobowicz from the Gdański Uniwersytet Medyczny (Medical University of Gdańsk) delivered two insightful presentations on the application of artificial intelligence, including language models, in the medical field: ✅ Novel and Robust Approach to Breast Density Prediction: Utilizing the Tree-Structured Parzen Estimator Algorithm-Driven Transfer Learning Approach ✅ ADMEDVOICE – The Pathway to Polish Language Automatic Structured Reporting in Breast Ultrasound Using Voice Recognition and Large Language Models He also presented two posters on relevant topics, outlined below: ✅ Inadequacy of Breast Ultrasound BI-RADS classification system in the outside-the-screening Age Populations. ✅ A comprehensive guide for rating robustness and fairness in MRI breast datasets. It was an honor to participate in ECR2025. Exciting times ahead for medical imaging!

#BehindTheScenes ✨ #EuCanImage consortium is woring on something special - stay tuned! Pau Recasens | The European Institute for Biomedical Imaging Research (EIBIR)

Collective Minds teaming up with EuCanImage at ECR in Vienna: check out the atmosphere at the workshop, where AI generated segmentations were evaluated live in silicio trial using Collective Minds! 💻 #ecr #collectiveminds #eucanimage

🚀 A successful and packed session at #ECR2025! 🙌 The ACV Room 02 was buzzing with energy as we kicked off the EIBIR session on "AI for Health Imaging: Transforming Cancer Diagnosis and Analysis with Advanced Image Repositories!" ✨ With a full house, the session was a resounding success, showcasing groundbreaking projects The CHAIMELEON Project, EuCanImage, and the European Federation for Cancer Images (EUCAIM), and FUTURE-AI 🤝 Here are some key insights shared by our incredible speakers 👇 💡 Luis Marti-Bonmati: #Chaimeleon’s successful project built a new repository with a fascinating test on re-identification – pleased to confirm that nothing could be re-identified 🔐 💡Karim Lekadir: Taking a different approach, #EuCanImage has connected existing archives, enabling imaging and related data to be deposited, linked, and accessible to others. 24K annotated cases across 3 cancer types – a game changer in cancer research! 🧬 💡 Karim Lekadir: On the future of #AI – focusing on making AI robust and ethical. Published guidelines to operationalise principles for AI in healthcare 📚 💡Schlemmer Heinz-Peter: On how #EUCAIM is addressing the challenges that radiology faces in the AI era – ensuring the integration of AI with human expertise🏥 A huge thank you to our Scientific Director, Regina Beets-Tan, MD, PhD, for the incredible moderation throughout the session! 😍 The future of AI in healthcare is bright, and we’re thrilled to be part of this transformative journey! ☘ #EIBIRsessions #HealthImaging #CancerDiagnosis #ECR2025

Wow, the first session of the workshop was really great! We are kicking off the 2nd session in a few minutes. Make sure to come back on time! We are waiting in the room WS4

HAPPENING NOW: EuCanImage workshop on European Cancer Imaging Platform for Development of Trustworthy AI in Oncology ✨️ Maciej Bobowicz has just opened the workshop 🎉 Watch the stream now in the official ECR app!!

Today is the day! 🔥 Don't miss the unique opportunity and join us at the #EuCanImage #workshop at the European Congress of Radiology #ECR2025 ✨ 🕐 Today at 13:00 📍 Room WS4, ACV 1st floor Curious to learn something new about EuCanImage? Join the talk by our Coordinator, Karim Lekadir! 🕟 Today at 16:30 📍 Room O2, ACV 1st floor Can't attend ECR in person? We got your back! Watch the stream LIVE from both events: Workshop: https://lnkd.in/dZAGdWNG Talk: https://lnkd.in/dkNfaTmY Free ESR Connect account is required to access the recordings. Karim Lekadir | Maciej Bobowicz | Katrine Riklund | Marcel Koek | Stefan Klein | Lidia Garrucho Moras | Samuele Ghezzo | Tobias Heimann | Anders Nordell | Maria Von Der Pahlen | Embla Klingberg | Marlena Rygusik | Michał Kosno | Universitat de Barcelona | Artificial Intelligence in Medicine Lab (BCN-AIM) | Gdański Uniwersytet Medyczny (Medical University of Gdańsk) | Umeå University | Erasmus MC | radiomics.bio | Siemens Healthineers | Collective Minds | The European Institute for Biomedical Imaging Research (EIBIR)