TeachingSs16CAMP2Lecture

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

Computer Aided Medical Procedures II - IN2022

Organization

Lecture: Prof. Nassir Navab

Organization: Dr. Maximilian Baust

Time & Location

Overview

This lecture teaches students to transfer their knowledge from the field of medical imaging and computer assisted interventions to practical algorithms. During the classes, the students get exposed to particular problems from segmentation, registration, navigation, tracking, and medical augmented reality and are then guided when implementing those algorithms themselves using MATLAB during the exercises. They thus gain deep insight into medical image computing and will be, by the end, able to implement solutions for computer aided medical procedures.

Prerequisites

  • Basic knowledge in image computing (not necessarily acquired through the CAMP I lecture)
  • Interest in algorithmic/implementation aspects
  • Specific knowledge in MATLAB 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

Date Time Room Type Topic Lecturer Material
Wed 13.04.16 12:30pm - 2:00pm MI 03.13.010   Introduction Maximilian Baust  slides, [1]
Thu 14.04.16 2:35pm - 4:05pm MI 03.13.010   Introduction to MATLAB Maximilian Baust  slides  introduction.zip  introduction_solution.zip
Wed 20.04.16 12:30pm - 2:00pm MI 03.13.010   Spatial Domain Image Filtering Tingying Peng  slides
Thu 21.04.16 2:35pm - 4:05pm MI 03.13.010   Spatial Domain Image Filtering Exercise Tingying Peng  exercise  solution
Wed 27.04.16 12:30pm - 2:00pm MI 03.13.010   Total Variation Image Filtering Maximilian Baust  slides (updated), [7-8]
Thu 28.04.16 2:35pm - 4:05pm MI 03.13.010   Total Variation Image Filtering Exercise Maximilian Baust  exercise  solution  gradients (additional)
Wed 04.05.16 12:30pm - 2:00pm MI 03.13.010   Frequency Domain Image Filtering Maximilian Baust  slides, [1]
Thu 05.05.16 no lecture - - - - -
Wed 11.05.16 12:30pm - 2:00pm MI 03.13.010   Frequency Domain Image Filtering Exercise Maximilian Baust  exercise  solution
Thu 12.05.16 2:35pm - 4:05pm MI 03.13.010   Basic Segmentation Methods Kristians Diaz  slides
Wed 18.05.16 12:30pm - 2:00pm MI 03.13.008   Introduction to Deep Learning Raphael Prevost  
Thu 19.05.16 2:35pm - 4:05pm MI 03.13.010   Digital Pathology Hauke Heibel  
Wed 25.05.16 12:30pm - 2:00pm MI 03.13.010   Basic Segmentation Methods Exercise Kristians Diaz  exercise
Thu 26.05.16 no lecture - - - - -
Wed 01.06.16 12:30pm - 2:00pm MI 03.13.010   Advanced Segmentation Methods Rüdiger Göbl  slides, [9-11]
Thu 02.06.16 2:35pm - 4:05pm MI 03.13.010   Advanced Segmentation Methods Exercise Rüdiger Göbl  exercise,  solution
Wed 08.06.16 12:30pm - 2:00pm MI 03.13.010   Image Transformations Ulrich Eck  slides
Thu 09.06.16 2:35pm - 4:05pm MI 03.13.010   Image Transformations Exercise Ulrich Eck  exercise,  solution
Wed 15.06.16 12:30pm - 2:00pm MI 03.13.010   Feature-based Registration Oliver Zettinig  slides
Thu 16.06.16 2:35pm - 4:05pm MI 03.13.010   Feature-based Registration Oliver Zettinig  exercise,  solution
Wed 22.06.16 12:30pm - 2:00pm MI 03.13.010   Rigid Image Registration Nicola Rieke  slides
Thu 23.06.16 2:35pm - 4:05pm MI 03.13.010   Rigid Image Registration Exercise Nicola Rieke  exercise,  solution
Wed 29.06.16 12:30pm - 2:00pm MI 03.13.010   Deformable Image Registration Oliver Zettinig  slides [12]
Thu 30.06.16 2:35pm - 4:05pm MI 03.13.010   Deformable Image Registration Exercise Nicola Rieke  exercise,  solution
Wed 06.07.16 12:30pm - 2:00pm MI 03.13.010   Camera and Tool Calibration Benjamin Busam  slides
Thu 07.07.16 2:35pm - 4:05pm MI 03.13.010   Hands-On Camera and Tool Calibration Benjamin Busam  tasks,  data,  solution
Wed 13.07.16 12:30pm - 2:00pm MI 03.13.010   Questions Salvatore Virga  
Thu 14.07.16 6:15pm:7:45pm MI 03.13.010   Exam Salvatore Virga  


Literature


TeachingForm
Title: Computer Aided Medical Procedures II - (IN2022)
Professor: Prof. Nassir Navab
Tutors: Dr. Maximilian Baust
Type: Lecture
Information: 2 + 2 SWS, 5 ECTS Credits (IN2022)
Term: 2016SoSe
Abstract:  


Edit | Attach | Refresh | Diffs | More | Revision r1.51 - 07 Jul 2016 - 14:03 - BenjaminBusam

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