Erasmus Mundus Joint Máster in Medical Imaging and Applications

The MAIA (Medical Imaging and Applications) is coordinated by the University of Girona (UdG, Spain) and with the University of Bourgogne (uB, France) and the Università degli studi di Cassino e del Lazio Meridionale (UNICAS, Italy) as partners.

Medical Image Analysis and Computer Aided Diagnosis (CAD) systems, in close development with novel imaging techniques, have revolutionised healthcare in recent years. Those developments have allowed doctors to achieve a much more accurate diagnosis, at an early stage, of the most important diseases. Technology behind the development of CAD systems stems from various research areas in computer science such as: artificial intelligence, machine learning, pattern recognition, computer vision, image processing and sensors and acquisition. There is a clear lack of MSc studies which cover the previously mentioned areas with a specific application to the analysis of medical images and development of CAD systems within an integrated medical imaging background. Moreover, the medical technology industry has detected a growing need of expert graduates in this field.

This master’s degree is the right degree not just for holders of a bachelor’s degree in Informatics Engineering but also in closely related fields in either Engineering (e.g., Electrical, Industrial and Telecommunications Engineering, …) or Science (e.g., Mathematics and Physics, …) who pursue a deeper knowledge of information technology and its applications.

The overall objective is to start from science fundamentals, low-level image and signal processing and acquisition. The second semester is devoted to more advanced image processing algorithms along with machine learning and pattern recognition. Special emphasis will be given to fundamentals of medical robotics and algorithm optimization methods. The third semester will take advantage of the previous modules and will focus on developing frameworks of computer aided detection and diagnosis systems with special emphasis to its clinical applicability and evaluation. In addition, advanced medical robotics will be covered taking into account computer aided surgery and assisted intervention. In addition a project on medical imaging wil proposed which will put those topics into practice. The final semester will be fully devoted to the development of the master thesis in a topic proposed by the consortium, collaborating companies/research labs or by the motivation of the student within the context of medical image analysis.

YEAR 1

uB (first semester)

Image Processing I (ECTS 6)
Digital Signal Processing (ECTS 6)
Software Engineering (ECTS 5)
Applied Mathematics (ECTS 6)
Sensors and Digitization (ECTS 5)
French Culture (ECTS 2)

UNICAS (second semester)

Machine and Deep Learning (ECTS 6)
Introduction to Robotics (ECTS 5)
Statistical Learning and Data Mining (ECTS 6)
Distributed Programming and Networking (ECTS 6)
Advanced Image Analysis (ECTS 5)
Italian Culture (ECTS 2)

YEAR 2

UdG (third semester)

Medical Image Registration and Applications (ECTS 6)
Medical Image Segmentation and Applications (ECTS 6)
Computer Aided Surgery and Medical Robotics (ECTS 6)
Computer Aided Diagnosis (ECTS 5)
eHealth (ECTS 5)
Local Culture (ECTS 2)

Research / Training (fourth semester)

MSC Thesis in a company or any of the partners institutions UdG, uB or UNICLAM (ECTS 30)