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Berlin Cardiac CT Workshop "1-Week Cardiac CT Hands-on Course"

September 24-28, 2018
Berlin/DE

There have been dramatic technical advances in computed tomography for imaging of the heart and particularly the coronary arteries. During the course you will had 100 hands-on cardiac CT cases with invasive angiography correlation. Also, overview lectures on patient preparation and scanning, as well as Image reconstruction and reading will be given.

Participants of our course (maximum enrollment of 20) will become familiar with the new options of state-of-the-art cardiac imaging and expand their skills through practical exercises during 5 days on their dedicated workstations.Course

Language: English
Organizer: Prof. Marc Dewey, Dr. Matthias Rief
Link: www.herz-kurs.de


"Cardiovascular MRI & CT with Clinical Correlation"
Learn from the experts
Hands on Training and Lectures


September 27-29, 2018
Thessaloniki/GR

Join us for this 3 day international course at St. Luke’s Hospital in Thessaloniki, Greece, a seminar which offers real life situational training from industry experts.

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Registration

The course has been accredited with 21 CME-CPD according to UEMS-EACCME guidelines-criteria and is endorsed by the European Society of Cardiovascular Radiology.

World Heart Day 2018

September 29, 2018

Worldwide

World Heart Day is a global campaign during which individuals, families, communities and governments around the world participate in activities to take charge of their heart health and that of others. Through this campaign, the World Heart Federation unites people from all countries and backgrounds in the fight against the CVD burden, and inspires and drives international action to encourage heart-healthy living across the world.

Cardiovascular disease is the world’s number one killer today. But it doesn’t need to be this way. By making just a few small changes to our lives, we can reduce our risk of heart disease and stroke, as well as improving our quality of life and setting a good example for the next generation. It’s about saying to yourself, the people you care about and individuals all around the world, “what can I do right now to look after MY HEART… and YOUR HEART?”

For more information about World Heart Day 2018, please click here.

International Day of Radiology (IDoR)

November 8, 2018
Worldwide

November 8th marks the day that Wilhelm Röntgen discovered the existence of X-rays in 1895. Since 2012, a joint initiative of ESR, RSNA and ACR celebrates this day as the INTERNATIONAL DAY OF RADIOLOGY. Let’s celebrate together!

This year, the IDoR theme is cardiac radiology. Cardiac imaging is a fast-growing subspecialty of diagnostic radiology that plays a huge part in the assessment and management of heart patients throughout the world. Cardiac radiologists – the experts in charge – supervise or perform imaging examinations, using technology such as computed tomography (CT) and magnetic resonance imaging (MRI), and then interpret the resulting images to diagnose and monitor a wide range of diseases of the heart.

For more information, please visit the IDoR website.

Big Data for Imaging
Radiomics, Deep Learning and Distributed Learning - a hands-on course


December 9-12, 2018
Maastricht/NL

This course on Big Data for Imaging is a unique opportunity to join a community of leading edge practitioners in the field of Artificial Intelligence for Medical Imaging. During this 4-days immersive course, you will be able to attend lectures and workshops from world-class experts in Radiomics, Deep Learning and Distributed Learning. You can also bring your own curated dataset with you (open source or anonymized and cleared by ethics). If requested, we will perform “data matching” for attendees to facilitate external cross validation. There will be ample opportunity to network with faculty members, other participants and companies.

Our starting point is an overview of the history of Medical Imaging Artificial Intelligence, we then discuss the success stories but also the pitfalls. Next, we will review the process from data acquisition, access to the DICOM objects, features extraction, machine learning (including new developments with Deep Learning) analysis and validation.

In the final part of the course, we will discuss the current challenges and directions of research in the field; in particular, the necessity of dealing with large annotated data sets, the FAIR principles and the distributed learning approach. The course will be divided into lectures during the morning and hands on assignments in the afternoon. Participants are encouraged to come with their data and we will organize (if possible) matching data for validation from other participants on the course.

> Programme
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