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.

This is the page for all things ECR and our other events. Learn everything about how to register, submit abstracts, attend in person, become an exhibitor, and much more. There is no congress like ECR. Start your journey here.

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:

machine learningdeep learningradiomicsmrix-ray computed tomographyai newsCOVID-19interviewmammographybreast cancerneural networksdiagnostic imagingtomographyMDCTradiographyworkflow

Latest posts

Looking outside the box: IBM halts facial recognition, journalists replaced by AI, and navigating the high volume of COVID-19-related articles

ESR June 2020

This week in artificial intelligence (AI) news, we take a look at IBM’s decision to halt the development of facial recognition software, Microsoft using an AI systems to replace teams of journalists who curate news stories for its website MSN.com, and sifting through the extremely high volume of articles and research being published on COVID-19. IBM’s recent decision to stop

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Does gender bias exist in radiology AI?

Melisande Rouger June 2020

Is AI sexist? The debate was gaining momentum in the pre-COVID-19 world and faded away with the outbreak. But with the impact of lockdown on work activity and women’s careers, gender bias in AI is likely to retake centre stage soon. We checked on what two respected experts in radiology AI had to say and if indeed they found that

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Combining molecular and imaging metrics in cancer: radiogenomics

Katja Pinker June 2020

In oncology, we are in the era of personalized medicine that enables increasingly precise, often molecular-based approaches (genomics, transcriptomics, proteomics, metabolomics, etc.) to disease treatments and prevention strategies for our patients. Molecular testing remains expensive, invasive, and time-consuming, and thus unavailable for all patients. In addition, invasive tumor sampling only provides a snap-shot of often heterogeneous tumors and is not

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Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer

European Radiology June 2020

The purpose of this retrospective study was to develop and evaluate the performance of U-Net to determine whether U-Net-based deep learning could accurately perform fully automated localization and segmentation of cervical tumors in MR images, as well as the robustness of extracting apparent diffusion coefficient (ADC) radiomics features. Key points U-Net-based deep learning can perform accurate fully automated localization and

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Looking outside the box: the human brain as an AI model, a brief overview of machine learning, and brewing beer with AI

ESR May 2020

This week in artificial intelligence (AI) news, we take a look at the human brain as a model for AI networks and programs, an overview of machine learning and how it’s being implemented across several industries, and a brewery from Bend, Oregon using AI and machine learning to brew beer. One would believe that the best model for artificial intelligence

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Deep learning: definition and perspectives for thoracic imaging

European Radiology May 2020

The authors of this review aimed to provide definitions for understanding the methods of machine learning, deep learning, and convolutional neural networks (CNN) and to dive into their roles and potential in the area of thoracic imaging. Key points Deep learning outperforms other machine learning techniques for number of tasks in radiology. Convolutional neural network is the most popular deep

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AI algorithm developed in collaborative approach to fight COVID-19

ESR May 2020

Within the science community, the role of computed tomography (CT) for diagnosis is currently being debated. In this context, preliminary studies showed that chest CT imaging of the lung provides improved sensitivity when associated with RT-PCR for individuals suspected of having COVID-19 [1]. The primary features seen on a lung affected by COVID-19 are peripheral focal or multi-focal ground-glass opacities,

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A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images

European Radiology May 2020

In this study, the authors aimed to develop a deep learning-based artificial intelligence (AI) scheme in order to predict the likelihood of the ground-glass nodule (GGN) being invasive adenocarcinoma that is detected in CT images. The study also compares the accuracy of the AI scheme with the predictions of two radiologists. The study results showed that using an AI scheme

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Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach

European Radiology Experimental May 2020

The aim of this study was to evaluate whether machine learning algorithms allow for the prediction of Child-Pugh classification on clinical multiphase computed tomography (CT). The authors found that the performance of convolutional neural networks (CNN) is comparable to that of experienced radiologists in assessing Child-Pugh class based on multiphase abdominal CT. Key points Established machine learning algorithms can predict

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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
  • Exclusive option to participate in the European Diploma. 3
  • Free electronic access to the journal European Radiology 4
  • Content e-mails for all ESR journals
  • 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
  • Free electronic access to the journal European Radiology
  • Content e-mails for all 3 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 2024:
Provided that ESR 2023 membership is activated and approved by August 31, 2023.

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.