An AI Platform integrating imaging data and models, supporting precision care through prostate cancer’s continuum
Our researchers received the Best Student Paper Award in Bioengineering category in the 21st IEEE International Conference on BioInformatics and BioEngineering that was held on October 25-27, 2021, at Kragujevac (Serbia). The award-winning paper is entitled: “A Deep Learning-based Cropping Technique to Improve Segmentation of Prostate’s Peripheral Zone” and was co-authored by Eugenia Mylona, Dimitris Zaridis, Nikolaos Tachos, Dimitrios Fotiadis, Kostas Marias and Manolis Tsiknakis
FUTURE-AI Anniversary Webinar: “The Future of AI and the Radiology Workforce” by Curtis P. Langlotz, MD, PhD. We are pleased to announce that Curtis P. Langlotz, MD, PhD, Professor of Radiology, Medicine and Biomedical Data Science at Stanford University, will deliver...
Great news!Our paper "Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects" published in European Radiology Experimental, has been the Fourth most cited article for the Impact Factor 2024 calculation. A short award ceremony...
An international and multidisciplinary team, led by researchers from the Champalimaud Foundation, in Lisbon, has developed an artificial intelligence algorithm that improves the reliability of prostate cancer detection based solely on magnetic resonance imaging...
Prostate cancer is the second most commonly diagnosed cancer in men. Conventional screening relies on prostate specific antigen (PSA) levels in the blood, which can indicate prostate abnormalities but lacks specificity. Clinical examination and ultrasound also have...