Ai Applied to Neuroimaging

A.Y. 2024/2025
6
Max ECTS
48
Overall hours
SSD
FIS/07 MED/37
Language
English
Learning objectives
The course in "AI Applied to Neuroimaging" in the Master's program in Human-centered artificial intelligence's primary objective is to provide students with an understanding of the applications of artificial intelligence in the field of neuroimaging.
Expected learning outcomes
The course provides knowledge of the main techniques of imaging the central nervous system, with a special focus on MRI, presenting the basics of both conventional imaging and advanced MRI techniques in different neurological pathologies. The course will cover all aspects of neuroimaging that are and will be topics of an AI application: starting from acquisition techniques (e.g., speeding up acquisitions, optimization of image quality), meaning and post-processing of conventional and advanced images (Diffusion based imaging, perfusion, spectroscopy, functional MRI, quantitative mapping), storage and sharing of datasets, image segmentation, workflow optimization, data reporting and also the diagnostic qualitative interpretation of the images in the clinical medical routine.

The course provides basic knowledge of the main neurological pathologies of the and their clinical and research challenges with potential contribution of AI.

Students will test their knowledge and skills in applying AI neuroimaging approaches using dedicated open-course or company-owned AI imaging tools through hand-on practice laboratories on MRI datasets.
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Single session

Lesson period
Second semester
FIS/07 - APPLIED PHYSICS - University credits: 3
MED/37 - NEURORADIOLOGY - University credits: 3
Lessons: 48 hours
Professors: Caverzasi Eduardo, Magenes Giovanni, Pichiecchio Anna, Postuma Ian