Seminar Intraoperative Imaging and Machine Learning [IIML] 2020/2021 /CoursesID:1986
- Most recent entry on 2021-03-04
Keywords: Orthopädie deep learning machine learning Intraoperative Imaging Medical Imaging

Organisational Unit

Friedrich-Alexander-Universität Erlangen-Nürnberg

Recording type

Vorlesungsreihe

Via

IdM-login / Studon

Language

Lecturers:
Prof. Katharina Breininger, Dr.-Ing Holger Kunze, Dr. med. Holger Keil
 

For many applications, techniques like deep learning allow for considerably faster algorithm development and allow to automate tasks that were performed manually in the past. In medical imaging, a large variety of time-consuming tasks that interfere with clinical workflows has the potential for automation. However, at the same time new challenges arise like data privacy regulations and ethics concerns.
In this seminar, we want to develop an application that allows for the automation of an X-ray based intraoperative planning or measurement procedure from a holistic perspective. To this end, we will invite a surgeon to explain the medical background and visit the operating room to understand the surgeons’ needs while performing the task. Having understood the underlying medical problem, we will look into topics of data privacy, code of ethics, prototype development, and UI design for surgeons. Furthermore, we will touch regulatory requirements necessary for releasing software to clinics.
At the end of the seminar, the students will have developed and documented a prototypical application for the indented intraoperative use case.

Course chapters

Episode
Title
Lecturer
Updated
Via
Duration
Media
2
Seminar Intraoperative Imaging and Machine Learning [IIML]
Prof. Eva Katharina Breininger
2020-11-11
IdM-login / Studon
01:15:11
5
Introduction to Human Computer Interaction and User Interface Design
Prof. Eva Katharina Breininger
2020-12-09
IdM-login / Studon
01:33:37
6
Research Proposals and Ethics
PD Dr. Carolin Hack
2020-12-15
IdM-login
01:28:07
12
From the idea to the market
Prof. Eva Katharina Breininger
2021-01-24
IdM-login / Studon
01:02:10
13
Final Presentation Group 3
Prof. Eva Katharina Breininger
2021-03-04
IdM-login / Studon
01:01:34
Episode
Title
Lecturer
Updated
Via
Duration
Media
8
Expert Interview Group 1
Prof. Eva Katharina Breininger
2021-01-13
IdM-login / Studon
00:28:03
9
Expert Interview Group 2
Prof. Eva Katharina Breininger
2021-01-13
IdM-login / Studon
00:27:54
10
Expert Interview Group 3
Prof. Eva Katharina Breininger
2021-01-13
IdM-login / Studon
00:24:29
11
Q&A: Methods, Labels & Coding
Prof. Eva Katharina Breininger
2021-01-13
IdM-login / Studon
00:38:45
Episode
Title
Lecturer
Updated
Via
Duration
Media
12
Final Presentation Group 3
Prof. Eva Katharina Breininger
2021-03-02
IdM-login / Studon
00:34:22

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