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.
Workshop Programme
December 11, 2024
| 09:00 - 10:15 | Session 1 | |
| 09:00 – 09:05 | Welcome remarks | N. Papanikolaou, Lisbon/PT |
| 09:05 – 09:25 | Introduction to Machine Learning | S. Colantonio, Pisa/ IT |
| 09:25 – 09:40 | Image Segmentation | J. Shur, London/ UK |
| 09:40 – 09:55 | Radiomics Extraction | K. Marias, Heraklion/ GR |
| 09:55 – 10:15 | Q & A | |
| 10:15 - 10:45 | Coffee Break |
| 10:45 – 12:00 | Session 2 | |
| 10:45 – 11:00 | Model Training/Tuning | J. Almeida, Lisbon/ PT |
| 11:00 – 11:15 | Model Validation | V. Giannini, Candiolo/IT |
| 11:15 – 11:30 | Model Deployment / Monitoring | L. Cerdá-Alberich, Valencia ES |
| 11:30 – 12:00 | Q & A | |
| 12:00 – 13:00 | Lunch Break |
| 13:00 – 15:00 | Session 3 | |
| 13:00 – 13:20 | How to translate Radiomics to the Clinics: Technical Perspective | N. Papanikolaou, Lisbon/PT |
| 13:20 – 13:40 | How to translate Radiomics to the Clinics: Clinical Perspective | L. Marti Bonmati, Valencia/ ES |
| 13:40 – 14:10 | Future AI | K. Lekadir, Barcelona/ES |
| 14:10 – 14:30 | Quality of Radiomics Research | D. M. Koh, London/ UK |
| 14:30 – 15:00 | Q & A | |
| 15:00 – 15:30 | Tea Break |
| 15:30 – 17:30 | Session 4 | |
| 15:30 – 16:00 | Hands-On Lab1 (Pre-processing) | Computational Clinical Imaging Group, PT |
| 16:00 – 16:45 | Hands-On Lab2 (Model Training) | Computational Clinical Imaging Group, PT |
| 16:45 – 17:30 | Hands-On Lab3 (Model Validation / Deployment) | Computational Clinical Imaging Group, PT |
| 17:30 | Closing remarks |
Registration
Registration Fees
| Radiologists, Physicians | Radiologists in Training (Residents) / Students (Non radiologists) | ||
| ESGAR Member | € 250.00 | ESGAR 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.
CME Accreditation
An application will be made to the EACCME for CME accreditation of this event. The EACCME is an institution of the UEMS (www.uems.eu).