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 newsCOVID-19interviewmammographybreast cancerneural networksdiagnostic imagingtomographyworkflowradiographyMDCT

Latest posts

Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

European Radiology Experimental June 2019

The authors of this study recognized the potential of multiparametric positron emission tomography/magnetic resonance imaging (mpPET/MRI) for detecting and classifying breast lesions. To better understand computer-aided segmentation and diagnosis (CAD) features, the authors introduced a data-driven machine learning approach for a CAD system that enables the assessment of the relevance of mpPET/MRI features on segmentation and classification accuracy. Key points:

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Publications on artificial intelligence: an interview with Professor Zhi-Cheng Li

Alex Vogel June 2019

The topic of Artificial Intelligence (AI) is on the tip of everyone’s tongue in healthcare, especially those involved in radiology. When one thinks of AI in radiology, initial thoughts may consist of new imaging algorithms or futuristic machines assisting doctors. However, one area that may not immediately be considered is that of publishing all the new research. Radiological journals must

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Using radiomics for the preoperative estimation of pathological grade in bladder cancer tumors

European Radiology June 2019

The goal of this study was to develop and authenticate an MRI-based radiomics strategy for the preoperative estimation of pathological grade in bladder cancer (BCa) tumors. The obtained radiomic features were evaluated for diagnostic abilities using receiver operating characteristic (ROC) curve analysis and compared using the DeLong test. The authors then performed validation using 30 consecutive patients and were able

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AI guru gives a glimpse into the future of radiology with AI

Melisande Rouger June 2019

With the advent of Artificial Intelligence, new opportunities will arise for radiologists if they remain focused and critical, ‘rock star of the digital revolution’ Toby Walsh told delegates at the ESR AI Premium event. A new continent Artificial intelligence (AI) is going to transform every aspect of human life and could generate 15.7 trillion USD – almost China and India’s

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Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs

Chien-Hung Liao, Chi-Tung Cheng June 2019

In this study, we developed the DCNN not only for the automated detection of hip fractures on frontal pelvic radiographs but also to offer visualization of the fracture site by Grad-CAM, which enables the rapid integration of this tool into the current medical system. The age of artificial intelligence (AI) offers new opportunities but also poses challenges, for physicians. Deep

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Artificial Intelligence: From Buzzword into Clinical Routine

ESR May 2019

Artificial intelligence (AI) shows strong promise in helping to address global challenges faced by healthcare. Through improving patient outcomes or expanding precision medicine, AI offers the opportunity to manage staff shortages and enable cost-effectiveness. According to a study conducted by the management consulting firm PWC, the use of AI helps with early detection of serious diseases and leads to better

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MRI radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study

European Radiology May 2019

This study aimed to assess whether MRI radiomics can categorize ovarian masses and to determine the association between MRI radiomics and survival among ovarian epithelial cancer patients. The authors evaluated the diagnostic performance of the signatures derived from MRI radiomics in 286 patients with proven adnexal tumor. The study results suggest a correlation between radiomics features extracted from MRI and

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AI can reduce reading times and improve reader performance in breast and chest

Melisande Rouger May 2019

Tools using artificial intelligence (AI) for medical imaging can help detect and classify lesions in an increasing number of clinical applications. In breast and chest imaging, algorithms can now significantly expedite workflow and improve cancer risk prediction, two experts explained during the ESR AI Premium meeting earlier this month in Barcelona, Spain. Breast cancer screening Breast cancer (BC) screening with

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Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

European Radiology May 2019

Deep learning reconstruction (DLR) is a novel method of reconstruction that introduces deep convolutional neural networks into the reconstruction flow. The authors of this research examined the clinical applicability of abdominal ultra-high-resolution CT (U-HRCT) exams reconstructed with a new DLR and to compare it to hybrid and model-based iterative reconstruction (hybrid-IR, MBIR). Radiologists analysed and graded results from 46 patients

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Taking artificial intelligence out of the black box: An “interpretable” deep learning system for liver tumour diagnosis

European Radiology May 2019

Convolutional neural networks (CNN) have demonstrated the potential to become effective and accurate decision support tools for radiologists. A major barrier to clinical translation, however, is that the majority of such algorithms currently function like a “black box”. After training a CNN with a large set of input and output data, its internal layers are automatically adjusted to mathematically “map”

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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.