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.

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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:

deep learningmachine learningmriradiomicsx-ray computed tomographyai newsCOVID-19interviewmammographybreast cancerneural networksdiagnostic imagingworkflowtomographyMDCTradiography

Latest posts

Deep learning for the determination of myometrial invasion depth and automatic lesion identification in endometrial cancer MR imaging

He Zhang July 2020

Endometrial cancer (EC) has the highest rate of malignancy in women in the entire world, including China, which has the largest population. Accurately staging EC prior to an invasive procedure still poses a challenge for clinicians. In the present study, we used more than five hundred EC patients’ MR images to train the computer to establish a deep learning diagnostic

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Can training data help radiologists to open deep learning black box?

Marina Codari July 2020

Deep learning has recently pervaded the radiology field, reaching promising results that have encouraged both scientists and entrepreneurs to apply these models to improve patient care. However, “with great power there must also come — great responsibility” [1]! In most cases, the complexity of deep learning models forces their users, and sometimes also their developers, to treat them as black

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Looking outside the box: inspector robots, machine learning helping to catalogue history, and sanitizing work spaces without humans

ESR July 2020

This week in artificial intelligence (AI) news, we take a look at systems being utilized for quality control in factories while some workers are in quarantine, cataloguing print media over the past 200 years using machine learning technology, and robotics in Boston helping local organizations to sanitize their workplaces during the COVID-19 pandemic. The rise of the COVID-19 pandemic has

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Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion

European Radiology July 2020

The purpose of this study was to develop a deep learning-based method for the automated classification of renal cell carcinoma (RCC) from benign solid renal masses using contrast-enhanced computed tomography (CECT) images. The authors determined that a semi-automated majority voting convolutional neural network (CNN) based methodology enabled the accurate classification of RCC from benign neoplasms among solid renal masses on

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Development and validation of machine learning prediction model based on computed tomography angiography–derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study

Guo Zhong Chen June 2020

Decisions regarding the optimal management of unruptured intracranial aneurysms (UIAs) depend on a comprehensive comparison of the risks between aneurysm rupture and interventional treatment. The accurate prediction for UIA rupture risk is important for clinicians and patients. Our study further proves that the hemodynamic parameters can improve prediction performance for rupture status of UIAs. Moreover, the AUC of model integrating

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Looking outside the box: facial recognition to enforce wearing masks, robotics saving coral reefs, and virtual partners during quarantine

ESR June 2020

This week in artificial intelligence (AI) news, we take a look at facial recognition technology being used to monitor citizens and whether or not they are following best health practices during the COVID-19 pandemic, the potential of robotics and AI to help save the disappearing coral reefs, and an augmented/virtual reality app to help solve the loneliness crisis. In the

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Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

European Radiology June 2020

In this study, the authors retrospectively collected 2,088 abnormal and 352 normal chest radiographs from two institutions in order to investigate the optimal input matrix size for deep learning-based computer-aided detection (CAD) of nodules and masses on chest radiographs. This resulted in the matrix size 896 as having the highest performance for various sizes of abnormalities using different convolutional neural

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New algorithm hopes to fight COVID-19 in international effort

ESR June 2020

The COVID-19 pandemic has seen doctors, healthcare institutions, and companies come together in an international effort to drive innovative solutions in the fight against this disease. AI-powered technology is one path that is being utilized to manage the heavy burden placed on clinicians as their workload increases. Dr. Dorin Comaniciu, who serves as Senior Vice President for Artificial Intelligence and

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Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?

Fabian Kiessling June 2020

Increasing numbers of publications document the potential of radiomics and artificial intelligence (AI)-aided diagnostics, and the Corona pandemic made the importance of digitally well-connected health systems even clearer. However, although the essential technologies are already available, the progress into clinical routine application is considerably slow. Thus, we intended to perform a comprehensive analysis to learn from the experiences of pioneering

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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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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.