Computer Aided Medical Procedures II - IN2022

Organization

Lecture: Prof. Nassir Navab

Organization: Dr. Ulrich Eck, Dr. Shahrooz Faghihroohi, Roger Soberanis Mukul, and Dr. Thomas Wendler
Tutors: Ashkan Khakzar, Hasan Sarhan, Anees Kazi, M. Farid Azampour, Zhongliang Jiang, Maria Tirindelli, Dr. Ali Nasseri, Ardit Ramadani, Dr. Mai Bui, Michael Sommersperger, Matthias The Grimm, Alexander Winkler

Time & Location

• Wednesdays: 12:30pm - 2:00pm in Online Lecture
• Thursdays: 2:30pm - 4:00pm in Online Lecture
• Please find access information in Moodle

Overview

Upon successful completion of the module, participants are able to understand the fundamentals, differences, and application areas of advanced methods for image processing, image segmentation, and image registration as well as being able to implement them in Python. Moreover, participants are able to understand the fundamentals of machine learning and 3D volume visualization. Furthermore, participants are able to understand complex problems in the area of computer-aided diagnosis and interventions as well as to develop solution strategies based on the covered algorithms in the aforementioned area.

Prerequisites

• Basic knowledge in image computing (not necessarily acquired through the CAMP I lecture)
• Interest in algorithmic/implementation aspects
• Specific knowledge in Python is not required but beneficial. However, you should be somehow skilled in programming.

Regulations

• Module Spezification: IN2022
  
• SWS: 2+2
  
• ECTS: 5 Credits
  
• Course Language: English
  
• Exam: 90 minutes, written, closed book
  

Course Schedule

This course is managed with TUM Moodle.