WHY JOINING MAIA?
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.
Join MAIA to be part of this revolution and impact your career!
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.
2 years’ joint master degree (120 ECTS)
I am a MAIA graduate and it has been one of the most amazing experiences of my life. During the MAIA master program, I witnessed several academic and research institutions in France, Italy, Spain, and Switzerland. For me, MAIA was not only about research skills that prepared me for future opportunities in the domain of medical imaging and applications but also improved my interpersonal and management skills with extensive exposure to a rich multicultural environment. During the two years of the MAIA master's program, I became well-equipped academically and socially with the help of very cooperative colleagues and faculty members in all the participating universities. While working on several medical imaging modalities for diagnosis, I found my interest in histopathology image analysis. Therefore, I completed my thesis mainly focused on the stain heterogeneity in histopathology images for machine learning-based diagnosis. Currently, as a doctoral student, I am very much glad that MAIA prepared me well enough to address the challenges in digital pathology at the Institute of Pathology, University of Bern, Switzerland.- Amjad Khan. PhD Student
The MAIA master has introduced me to practical applications of machine learning and image analysis to solve existing difficulties when dealing with analyzing medical images. In addition to boosting my professional career, MAIA has exposed me to an international community of students and researchers, and helped me to discover and learn about different cultures. Traveling to multiple cities has positively influenced the way I see and relate with my environment. For my thesis, I worked on soft tissue lesion detection in digital breast tomosynthesis using domain adaptation from mammograms in Screenpoint Medical (Nijmegen, The Netherlands).- Mahlet Birhanu, Research Software Engineer at Erasmus MC
MAIA has been one of the greatest experiences in my life. It gave me the opportunity to deepen into imaging analysis techniques and to collaborate with experts in the field all across Europe. It was also amazing to share my life with fellow MAIAns, professors and staff, learning from other cultures and ways to confront the world. Without any doubt a time I will always cherish.- Doiriel Vanegas, Custom Implant Designer at Stryker
I'm a graduate student of the MAIA masters program. During my master thesis, I worked on the development of quality assessment framework for online brain MRI processing at the ViCOROB lab at the University of Girona. It was a wonderful experience to work with the three universities involved in this masters program. The courses taught, and the life experience acquired during these two years have proved to be essential for my career. I am really satisfied with how this master helped me in boosting my professional career. Currently, I'm enrolled as a PhD student in a Marie Curie project (B-Q MINDED).- Roberto Paolella, PhD student in a Marie Curie Project
Joining MAIA was definitely a life-changing experience. The program provided me with skills in the Medical Imaging field and allowed me to actively interact with leading-researchers around Europe. During my thesis, I worked on cardiac MRI by proposing cutting-edge methodologies to assist radiologists. Currently, as a doctoral student I am very pleased on how MAIA boosted my career and helped me reach my goals.- Ezequiel de la Rosa, PhD Student
The MAIA master provided me with a stimulating environment to learn about different imaging techniques and image processing algorithms applicable in the medical field. The knowledge I obtained enabled me to develop frameworks for computer-aided diagnosis that I could put into practice during my internship. I was able to grow both professionally and personally, acquiring skills for my future career while visiting new countries and making lifelong bonds with my multicultural classmates. I am truly grateful for the new opportunities that have resulted from the completion of this challenging and rewarding master program.- Katherine Sheran, Phd Student
I completed my Masters in Medical Imaging under MAIA. With the mobility between the three universities in France, Italy, and Spain, I had the opportunity to meet, work and study under a diverse group of specialized researchers. This program is designed with specialized courses in the domain of medical imaging having intense projects and lab works centered around the idea of learning how to replicate and develop state of the art techniques. This program allowed me to jointly work with some of the biggest research groups working in medical imaging in Europe. Currently, I started my PhD under full fellowship at the University of British Columbia.- Tajwar Aleef, PhD Student at the University of British Columbia.
I did my PhD at UNICLAM (Cassino, Italy) where, in collaboration with RadboudUMC (Nijmegen, the Netherlands), I worked on the development of Computer Aided Diagnosis systems for digital mammography. As a side-project in collaboration with Allen Institute for Brain Science (Seattle, U.S.A.) and University Campus Bio-Medico of Rome (Rome, Italy), I also worked on ultra-Terabyte whole mouse brain image visualisation and assisted analysis. Now, I am happy to continue my work at UNICLAM as post-doctoral fellow and am extremely grateful to collaborate with world-leading researchers in their respective fields.- Dr. Alessandro Bria, Post-doctoral fellow UNICLAM