On this page, you will find interesting information about the ESR, including facts & figures, details about the executive council, our guiding principles, and much more. Discover everything there is to know about the ESR.

You’re interested in learning more about an ESR membership? Well, you’ve come to the right page. Here, you can discover everything about our memberships, including the benefits and prices. We are sure that you’ll find the perfect option for you.

Part of our mission statement is “Advancing you,” and on this page, you’ll find all of our educational programmes, courses, eBooks, partner links, and downloads, etc., designed to enhance your knowledge and advance your career.

Visit this page for more information about our journals: European Radiology, Insights into Imaging, and European Radiology Experimental, as well as information about Eurorad. Additionally, if you’re interested in publishing your own work, you can find details here.

On this page, patients can find crucial information for their journey towards health, as the European Society of Radiology is at the forefront of advancing patient care and ensuring that individuals receive the assistance they need.

Discover information about our research endeavors and how EIBIR is shaping the future of radiology. Additionally, you’ll find news about research grants, statistics, and details about EIBALL and our Biomarker Inventory.

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Learn more about how the ESR is advancing quality and safety standards in radiology, and access all the information on ESR iGuide, Eurosafe Imaging, our clinical audit tool, as well as ESR-led projects and papers.

Here, you can find information about the ESR’s communal approach to radiology, its relations with EU institutions, international organisations, and other stakeholders, as well as European projects and alliances.

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AI Blog

Welcome to the blog on Artificial Intelligence of
the European Society of Radiology

This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.

Most used hashtags:

deep learningmachine learningmriradiomicsx-ray computed tomographyai newsinterviewmammographyCOVID-19breast cancerneural networksdiagnostic imagingworkflowtomographyMDCTdiagnosis

Latest posts

AI can generate a scientific paper from scratch that can survive the peer-review process

Sirio Cocozza October 2024

In our latest exploration, we embarked on a journey to test the resilience of the peer-review systemagainst the ever-growing influence of AI in scientific literature. Alongside my colleague, weconceived a purely fictional MRI technique—Magnetic Resonance Audiometry (MRA)—and askedan AI model to generate an entire manuscript around it. The result? A complete, technically robustresearch paper, complete with equations, references, and even

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On Artificial Intelligence: An interview with Susan Shelmerdine

Alex Vogel, Susan Shelmerdine October 2024

We were delighted to speak with Susan Shelmerdine this week for our interview series, “On Artificial Intelligence”. Among Shelmerdine’s many accolades are her roles as the Chairperson for the Artificial Intelligence Taskforce at the European Society of Paediatric Radiology as well as the prestigious Roentgen Professorship at The Royal College of Radiologists. Join us as we do a deep dive

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Automatic segmentation of fat metaplasia on sacroiliac joint MRI using deep learning

Insights into Imaging September 2024

The authors of this study developed a deep learning model used for segmenting fat metaplasia (FM) on sacroiliac joint (SIJ) MRI with the additional aim of utilizing the deep learning model to classify axial spondyloarthritis (axSpA) and non-axSpA. They were able to conclude that the deep learning model could automatically and accurately segment FM on SIJ MRI, helping to increase

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On Artificial Intelligence: An interview with Daniel Pinto dos Santos

Alex Vogel, Daniel Pinto dos Santos September 2024

This week we spoke to Daniel Pinto dos Santos, Deputy Editor at the European Society of Radiology’s flagship journal, European Radiology, and a Board Member at the European Society of Medical Imaging Informatics (EuSoMII). Pinto dos Santos is currently a Senior Radiologist at the University Hospital Cologne and University Hospital Frankfurt in Germany. What is your background/experience with artificial intelligence

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Predicting microvascular invasion in small (≤ 5 cm) HCC using radiomics-based peritumoral analysis

Insights into Imaging September 2024

This study assessed the predictive capacity of CT-enhanced radiomics models when determining microvascular invasion (MVI) for isolated hepatocellular carcinoma (HCC). The radiomics model was shown to be a promising noninvasive biomarker for preoperatively predicting MVI in individuals with a solitary HCC ≤ 5 cm and has applications in shaping personalized treatment policies. Key points: Article: Predicting microvascular invasion in small (≤ 5 cm)

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How do AI markings on screening mammograms correspond to cancer location?

European Radiology September 2024

This retrospective study compared the location of artificial intelligence (AI) markings on screening mammograms with cancer location on diagnostic mammograms and found that the AI markings corresponded to cancer location for all screen-detected cancers and 78% of the interval cancers with a high AI score. Key points: Article: How do AI markings on screening mammograms correspond to cancer location? An

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Enhancing recurrence risk prediction for bladder cancer using multi-sequence MRI radiomics

Insights into Imaging September 2024

This study aimed to develop a radiomics-clinical nomogram using multi-sequence MRI to predict recurrence-free survival (RFS) in patients with bladder cancer (BCa). Using a retrospective cohort of 229 BCa patients, the authors determined that the radiomics-clinical nomogram was able to effectively assess BCa recurrence risk, outperforming both the radiomics model and the clinical model. Key points: Article: Enhancing recurrence risk

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AI support in MR imaging of incidental renal masses

Alexander Marka September 2024

Our study explores the integration of artificial intelligence (AI) into magnetic resonance (MR) imaging to enhance the differentiation between benign and malignant renal lesions. The findings suggest that AI can significantly improve diagnostic accuracy and cost-effectiveness, addressing a crucial need in radiology. AI has the potential to alleviate pressures on healthcare systems by improving diagnostic efficiency and accuracy. By incorporating

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AI applied to MRI reliably detects the presence of meniscus tears

European Radiology August 2024

It is known that meniscus tears are difficult to diagnose on knee MRIs. Therefore, this study reviews and compares the accuracy of convolutional neural networks (CNNs). The authors assessed databases including PubMed, MEDLINE, EMBASE, and Cochrane, finding eleven articles to include in the final review, consisting of over 13,000 patients and over 57,000 images. They concluded that CNN is accurate

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Detection of femoropopliteal arterial steno-occlusion at MR angiography

European Radiology Experimental August 2024

This single-centre retrospective study aimed to evaluate a deep learning (DL) algorithm for detecting vessel steno-occlusions in peripheral arterial disease patients (PAD). The authors’ findings suggest that the proposed DL model is promising and an effective tool to assist in the detection of arterial steno-occlusions in PAD patients. Key points: Article: Detection of femoropopliteal arterial steno-occlusion at MR angiography: initial

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Become A Member Today!

You will have access to a wide range of benefits that can help you advance your career and stay up-to-date with the latest developments in the field of radiology. These benefits include access to educational resources, networking opportunities with other professionals in the field, opportunities to participate in research projects and clinical trials, and access to the latest technologies and techniques. 

Check out our different membership options.

If you don’t find a fitting membership send us an email here.

①

Membership

for radiologists, radiology residents, professionals of allied sciences (including radiographers/radiological technologists, nuclear medicine physicians, medical physicists, and data scientists) & professionals of allied sciences in training residing within the boundaries of Europe

  • Reduced registration fees for ECR 1
  • Reduced fees for the European School of Radiology (ESOR) 2
  • Option to participate in the European Diploma. 3
  • Free electronic access to the journal European Radiology 
  • Content e-mails for all ESR journals4
  • Updates on offers & events through our newsletters
  • Exclusive access to the ESR feed in Juisci

€ 11 /year

Yes! That is less than €1 per month.
②

Free membership

for radiologists, radiology residents or professionals of allied sciences engaged in practice, teaching or research residing outside Europe as well as individual qualified professionals with an interest in radiology and medical imaging who do not fulfil individual or all requirements for any other ESR membership category & former full members who have retired from all clinical practice
  • Reduced registration fees for ECR 1
  • Option to participate in the European Diploma. 3
  • Free electronic access to the journal European Radiology
  • Content e-mails for all ESR journals 4
  • Updates on offers & events through our newsletters
  • Exclusive access to the ESR feed in Juisci

€ 0

The best things in life are free.
③

ESR Friends

For students, company representatives or hospital managers etc.

  • Content e-mails for all 3 ESR journals 4
  • Updates on offers & events through our newsletters

€ 0

Friendship doesn’t cost a thing.
Apply now

The membership type best fitting for you will be selected automatically during the application process.

Footnotes:

01

Reduced registration fees for ECR 2025:
Provided that ESR 2024 membership is activated and approved by August 31, 2024.

02
Not all activities included
03
Examination based on the ESR European Training Curriculum (radiologists or radiology residents).
04
European Radiology, Insights into Imaging, European Radiology Experimental.