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ESGAR presents

AI Online Workshop: How to develop a Radiomics Signature

December 11, 2024

Registration deadline:

December 9, 2024 (17:00 CET)

Register Now!

Workshop Date

December 11, 2024

Live Streaming

The workshop will be live streamed in a Zoom Webinar format. The session times are CET.

Workshop Language

The workshop will be held in English.

This workshop is organised by ESGAR, an EACCME Trusted Provider.

Scientific Coordinator

Dr. Nickolas Papanikolaou
Head of Computational Clinical Imaging Group
Centre for the Unknown, Champalimaud Foundation
Lisbon, Portugal

Workshop Faculty

J. Almeida, Lisbon/PT
L. Cerda Alberich, Valencia/ES
S. Colantonio, Pisa/IT
V. Giannini, Candiolo/IT
D.-M. Koh, London/UK
K. Lekadir, Barcelona/ES
K. Marias, Heraklion/GR
L. Marti-Bonmati, Valencia/ES
N. Papanikolaou, Lisbon/PT
J. Shur, London/UK

 

Aims and Description

This online workshop aims to provide a deep dive into the application of artificial intelligence in medical imaging, specifically focusing on radiomics. The program begins with an introduction to machine learning, laying the groundwork for more advanced topics. Attendees will learn about image segmentation techniques and radiomics extraction, essential components for developing robust AI models. The workshop also covers practical aspects of AI implementation, such as model training, tuning, validation, and deployment. Expert speakers, will share their knowledge and experiences, ensuring that participants gain a comprehensive understanding of the subject. The event includes interactive Q&A sessions, providing opportunities for attendees to engage with the experts. Additionally, a session dedicated to the technical perspective of translating radiomics into clinical practice will highlight the real-world applications and challenges of this cutting-edge technology. 
 

Practical session:
Demonstration of the different steps on how to develop a radiomics signature with a clinical example focusing on a public dataset on Colorectal cancer and CT with Q & A.
Participants interested to go in depth we will be offered guidance and support after the workshop. 

Workshop Programme

December 11, 2024

09:00 - 10:15Session 1 
09:00 – 09:05Welcome remarks N. Papanikolaou, Lisbon/PT
09:05 – 09:25Introduction to Machine Learning S. Colantonio, Pisa/ IT
09:25 – 09:40  Image Segmentation J. Shur, London/ UK
09:40 – 09:55Radiomics Extraction K. Marias, Heraklion/ GR
09:55 – 10:15Q & A 
10:15 - 10:45 Coffee Break 
10:45 – 12:00Session 2   
10:45 – 11:00Model Training/Tuning J. Almeida, Lisbon/ PT
11:00 – 11:15Model Validation V. Giannini, Candiolo/IT
11:15 – 11:30Model Deployment / Monitoring L. Cerdá-Alberich, Valencia ES
11:30 – 12:00Q & A 
12:00 – 13:00Lunch Break 
13:00 – 15:00Session 3 
13:00 – 13:20How to translate Radiomics to the Clinics: Technical Perspective N. Papanikolaou, Lisbon/PT
13:20 – 13:40How to translate Radiomics to the Clinics: Clinical Perspective L. Marti Bonmati, Valencia/ ES
13:40 – 14:10Future AIK. Lekadir, Barcelona/ES
14:10 – 14:30Quality of Radiomics Research D. M. Koh, London/ UK
14:30 – 15:00Q & A 
15:00 – 15:30Tea Break 
15:30 – 17:30Session 4 
15:30 – 16:00Hands-On Lab1 (Pre-processing)Computational Clinical Imaging Group, PT
16:00 – 16:45Hands-On Lab2 (Model Training) Computational Clinical Imaging Group, PT
16:45 – 17:30Hands-On Lab3 (Model Validation / Deployment)Computational Clinical Imaging Group, PT
17:30Closing remarks 

Registration

Registration Fees

 

Radiologists, Physicians Radiologists in Training (Residents) / Students (Non radiologists) 
ESGAR Member€ 250.00ESGAR Member€ 150.00
Non Member

€ 350.00

Non Member€ 200.00


Registration fee includes

  • Live access to lectures and interactive case discussions
  • CME certificate
  • Access to full workshop content after the workshop for a certain period of time

The number of participants per workshop is limited and registrations will be accepted on a first come first served basis. Together with the registration payment is necessary. Registrations as radiologist in training (Residents) Radiographer or Students must be accompanied by a confirmation of the head of the department confirming the status as Resident , Radiographer or Student. 

Registration deadline: December 9, 2024 (17:00 CET)

CME Accreditation

The ESGAR Virtual AI Workshop: How to develop a Radiomics Signature, Virtual, Austria, 11/12/2024 - 11/12/2024 , has been accredited by the European Accreditation Council for Continuing Medical Education (EACCME®) with 6.5 European CME credits (ECMEC®s). Each medical specialist should claim only those hours of credit that he/she actually spent in the educational activity.”

“Through an agreement between the Union Européenne des Médecins Spécialistes and the American Medical Association,
physicians may convert EACCME® credits to an equivalent number of AMA PRA Category 1 CreditsTM. Information on the
process to convert EACCME® credit to AMA credit can be found at edhub.ama-assn.org/pages/applications.

“Live educational activities, occurring outside of Canada, recognised by the UEMS-EACCME® for ECMEC®s are deemed to beAccredited Group Learning Activities (Section 1) as defined by the Maintenance of Certification Program of the Royal College of Physicians and Surgeons of Canada.”

Registration deadline:

December 9, 2024 (17:00 CET)