About the course
Comprehensive Transversal Program in
Medical Image Post Processing:
3D Printing and Artificial Intelligence
An innovative training programme in image processing and 3D printing, to provide health-related professionals the theoretical and practical knowledge they need to use new imaging technologies for diagnosis.
The EXPERT3D course will enable professionals to perform post-processing of the radiological image for healthcare and research – employing advances like 3D image-prints, virtual technologies and artificial intelligence. These disruptive technologies have fostered the merger of engineering and medicine, creating a demand for professionals with new skills that unite the two disciplines.
EXPERT3D will provide the students with the training needed, gathering multidisciplinary instructors with years of practical experience in post-processing of the medical image, planned surgery, 3D printing and use of the image for research.
This is the first programme on medical imaging for diagnosis that targets not only physicians, but also bioengineers, computer scientists, senior technicians in diagnostics imaging and other medical specialists. Given the range of specialties involved, learners will not be required to have prior computer programming knowledge, though those with that knowledge will be guided to understand the basics of 3D imaging and to develop AI algorithms for image processing.
The learning will take place through a mixture of online training and a 2 weeks in-person practical programme.
This project is an international collaboration between public and private institutions and financed by EIT Health.
Organized by
Duration
Barcelona Edition:
7 Weeks Blended Part-Time Course
Dedication time: 90h | 8 ECTS
4 Weeks Online + 4 days presential hands-on workshops + 1 Week Final Project
Naples Edition:
6 Weeks Full-Online Course
Dedication time: 67,5h | 6ECTS
4 Weeks Online + 1 Week Final Project
Heidelberg, Riga and Coimbra Editions:
8 Weeks Blended Part Time-Course
Dedication time: 225h | 20 ECTS
6 Weeks Online + 4 days presential hands-on workshops + 1 Week Final Project
Locations
Barcelona: SJD Barcelona Children’s Hospital, CIM-UPC
Coimbra: Hospital of Coimbra
Heidelberg: Universitätsklinikum Heidelberg
Naples: University of Naples Federico II
Riga: Riga Stradins University
Course dates
Barcelona Edition: 05/05/2020 - 21/06/2020
- Hands-on classes: 02/06/2020 - 05/06/2020
Naples Edition: 05/05/2020 - 12/06/2020
- Hands-on classes: 08/06/2020
Heidelberg Edition: 01/10/2020 - 29/11/2020
- Hands-on classes: 09/11/2020 - 12/11/2020
Riga Edition: 05/10/2020 - 06/12/2020
- Hands-on classes: 23/11/2020 - 27/11/2020
Coimbra Edition: 05/10/2020 - 29/11/2020
- Hands-on classes: 16/11/2020 - 20/11/2020
Enrollment
Barcelona, Naples Editions
- Registration deadline: 21/04/20
- Notification of acceptance: 22/04/20 – 29/04/20
Heidelberg, Coimbra and Riga Editions
- Registration deadline: 21/09/20
- Notification of acceptance: 22/09/20 – 29/09/20
Profiles
Radiologists
Image Technicians
Surgeons
Engineers
Healthcare researchers
Innovation Managers and Specialists in new technologies
Languages
English
Spanish (only for Barcelona Edition)
Program fees
Barcelona Edition:
- Blended Full Course Tuition Fee: 1500 €
- 15% Early Bird Registration (until 30th April)
- Special fee for Scientific Societies and specific groups: 17%
Heidelberg Edition:
- Blended Full Course Tuition Fee: 1800 €
- 15% Early Bird Registration (until 30th April)
- Special fee for Scientific Societies and specific groups: 17%
Coimbra Edition:
- Blended Full Course Tuition Fee: 1800 €
- 15% Early Bird Registration (until 30th April)
- Special fee for Scientific Societies and specific groups: 17%
Riga Edition:
- Blended Full Course Tuition Fee: 1200 €
- 15% Early Bird Registration (until 30th April)
- Special fee for Scientific Societies and specific groups: 17%
Naples Edition:
- Full Online Course Tuition Fee: 600 €
- 15% Early Bird Registration (until 30th April)
- Special fee for companies and Italian universities: 20% reduction
- Selected scholarship students: 70% reduction
Selection criteria for scholarships
Motivation letter, Curriculum Vitae and Student supervisor interest
Co-Direction
Josep Munuera, MD PhD Radiologist
Arnau Valls, Engineer