Hours:
16 hours (4 credits)

Room:

Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa - Ground Floor

To register to the course, click here

Short Abstract:

Medical imaging plays a crucial role in the entire spectrum of healthcare, encompassing wellness, screening, early diagnosis, treatment selection, and follow-up. This course will delve deeply into recent advancements in artificial intelligence for medical image analysis, with a specific focus on deep learning approaches for disease screening and detection using medical images. The topics covered in this course include the fundamentals of deep neural networks, the basics of medical imaging, and an exploration of state-of-the-art deep learning models within the context of various medical images. The objective of the course is to equip students from diverse backgrounds with both a conceptual understanding and practical grounding in cutting-edge research on deep learning and medical image analysis.

Course Contents in brief:

1. Day 1:  Research Seminar Introduction.
   • Introduction to AI.
   • Basic Vision Models (classification, Segmentation).
   • Tutorial 1 (Basic Implementation of MLP and CNN) and assigning paper lists to students
2. Day 2:  Advanced 2D Medical Image Analysis Topic (Retinal Images, X-ray)
   • Advanced 2D Medical Image Analysis Topic (Ultrasound Images)
   • Advanced 2D Medical Image Analysis Topic (Pathology Images)
   • Tutorial 2 (Implementation of neural networks for Skin Leision Classification)
3. Day 3:   3D Medical Image Analysis
   • Advanced Medical Image Analysis Topic (Multi-modal Analysis)
   • Tutorial 3 (Implementation of 3D U-Net for MR Image Segmentation)
   • Peer Paper Sharing Topic: Foundation Model for Medical Image Processing
4. Day 4:   Special Topics (Transformer & Vision Foundation Models for MIA)
   • Special Topics (Medical Vision Language Foundation Model)
   • Tutorial 4 (Implementation of CLIP zero-shot transfer to MIA)
   • Peer Paper Sharing Topic: Medical Multi-Modal Diagnostic Foundation Model
   • Final test

Schedule:

1. Day 1 – Monday, 21 July 2025, 9:00-13:00 
2. Day 2 – Tuesday, 22 July 2025, 9:00-13:00
3. Day 3 – Thursday, 23 July 2025, 9:00-13:00
4. Day 4 – Monday, 28 July 2025, 9:00-13:00