TeachingSs21DLMA

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

Hauptseminar/Master Seminar: Deep Learning for Medical Applications

Prof. Nassir Navab, Dr. Shahrooz Faghih Roohi, Azade Farshad, Ashkan Khakzar, Roger Soberanis

Type: Advanced Seminar Course Module IN8901
Type: Master Seminar Module IN2107
SWS: 2+0
ECTS: 5 Credits
*Location: TBA (Due to the pandemic situation we will have presentation sessions online.)
Time: Thursdays, 12-14
Course Language: English

Announcements

Introduction

Registration

Requirements

Schedule

List of Topics and Material


MICCAI: Medical Image Computing and Computer Assisted Intervention
CVPR: Conference on Computer Vision and Pattern Recognition
ICLR: International Conference on Learning Representations
TMI: IEEE Transaction on Medical Imaging
JBHI: IEEE Journal of Biomedical and Health Informatics
MedIA: Medical Image Analysis (Elsevier)
TPAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence
BMVC: British Machine Vision Conference
MIDL: Medical Imaging with Deep Learning
NeurIPS: Neural Information Processing Systems

Literature and Helpful Links

A lot of scientific publications can be found online.

The following list may help you to find some further information on your particular topic:

Some publishers:

Libraries (online and offline):

Some further hints for working with references:

  • JabRef is a Java program for comfortable working with Bibtex literature databases. Handy feature: if you know the PubMed ID for an article, JabRef can import data from there (via "Web Search/Medline").
  • Mendeley is a cross-platform program for organising your references.

If you find useful resources that are not already listed here, please tell us, so we can add them for others. Thanks.


TeachingForm
Title: Deep Learning for Medical Applications
Professor: Prof. Nassir Navab
Tutors: Dr. Shahrooz Faghihroohi; Azade Farshad; Ashkan Khakzar
Type: Hauptseminar
Information: Hauptseminar, SWS: 2, ECTS: 5
Term: 2021SoSe
Abstract:  


Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 02 Feb 2021 - 09:10 - AshkanKhakzar

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