TeachingSs21MLMI

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Practical Course:
Machine Learning in Medical Imaging

Prof. Nassir Navab, Dr. Shahrooz Faghih Roohi, Ashkan Khakzar, Azade Farshad, Anees Kazi

Type: Master Practical Course Module IN2106
SWS: 6
ECTS: 10 Credits
Location: TBA (Due to the pandemic situation we will have lectures online.)
Time: Thursdays, 16-18
Course Language: English

Announcements:

About the Course

The aim of the course is to provide the students with notions about various machine learning techniques. The course is subdivided into a lecture/excercises block and a project.

  • The lectures will include DL topics relevant to medical imaging applications. Each lecture will be followed by a practical hands-on exercise (e.g. the implementation in Python).
  • The topics of the projects will be distributed at the beginning of the semester. Each topic will be supervised by a different person. The projects are to be realized by couples.

Registration

  • Students can only register through TUM Matching Platform themselves if the maximum number of participants hasn't been reached (please pay attention to the Deadlines).
  • Maximum number of participants: 20.
  • Requirements

    • Strong knowledge of deep learning
    • Strong knowledge of Python programming language

    Evaluation

    • 50% Project Progress (Done by your tutor -- mainly on your weekly progress on lrz git repository)
    • 50% Intermediate and Final Presentation (Done by all tutors -- mainly on your presentation skill, progress so far compared to other groups ...etc.)
    • Presentation: Use the CAMP templates for PowerPoint camp-tum-jhu-slides.zip, or Latex: CAMP-latex-template.

    Schedule

    Please find lecture materials in Moodle

    TBA (please have a look at the schedule for the previous semesters)

    Projects

    TBA (to have an idea of what our projects are about, please have a look at the ones from the previous semesters)

    TeachingForm
    Title: Machine Learning in Medical Imaging
    Professor: Prof. Nassir Navab
    Tutors: Dr. Shahrooz Faghih Roohi, Ashkan Khakzar, Azade Farshad, Anees Kazi
    Type: Praktikum
    Information: 6 SWS, 10 ECTS Credits (Module IN2106)
    Term: 2021SoSe
    Abstract:  


    Edit | Attach | Refresh | Diffs | More | Revision r1.6 - 02 Feb 2021 - 12:19 - AzadeFarshad

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