MIDL 2021

 
International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021

Automatic segmentation of prostate zones in MRI data using different variants of the U-Net

Rüttgers S., Hocke J., Heinrich M.P.
Automatic segmentation of prostate zones in MRI data using different variants of the U-Net
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 169-172, 2020
Erstellt am 8. Mai 2020 - 9:31 von Kulbe.

Automatic anatomical structure detection in aortic CT angiography

Pallenberg R., Fleitmann M., Soika K., Handels H.
Automatic anatomical structure detection in aortic CT angiography
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 157-160, 2020
Erstellt am 8. Mai 2020 - 9:22 von Kulbe.

Transforming Nutrition Databases Towards Semantically Consistent Content Classification

Liebenow L., Twesten C., Grzegorzek M.
Transforming Nutrition Databases Towards Semantically Consistent Content Classification
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 147-150, 2020
Erstellt am 8. Mai 2020 - 9:19 von Kulbe.

MetaCheck – a Web Application for the Automatic Evaluation of Metadata in Healthcare

Banach A., Kock-Schoppenhauer A.-K., Ulrich H., Ingenerf J.
MetaCheck – a Web Application for the Automatic Evaluation of Metadata in Healthcare
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 143-146, 2020
Erstellt am 8. Mai 2020 - 9:14 von Kulbe.

Deploying a molecular tumor board on an open platform

Reimer N., Busch H., Ingenerf J.
Deploying a molecular tumor board on an open platform
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 139-142, 2020
Erstellt am 8. Mai 2020 - 9:10 von Kulbe.

Generation of message transformers based on HL7 FHIR StructureMaps within the interface engine Mirth Connect

Vogl K.M., Ulrich H., Ingenerf J.
Generation of message transformers based on HL7 FHIR StructureMaps within the interface engine Mirth Connect
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 131-134, 2020
Erstellt am 8. Mai 2020 - 9:04 von Kulbe.

Analysis of Data Loss when using the Archiving and Exchange Interface for Practice Management Systems

Barkow L., Meincke O., Ulrich H., Ingenerf J.
Analysis of Data Loss when using the Archiving and Exchange Interface for Practice Management Systems
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 123-126, 2020
Erstellt am 8. Mai 2020 - 8:55 von Kulbe.

Student Conference Proceedings 2020: 9th Conference on Medical Engineering Science and 5th Conference on Medical Informatics and 3rd Conference on Biomedical Engineering and 2nd Conference on Auditory Technology

Studierendentagung 2020 Cover klein.jpg
Erstellt am 5. Mai 2020 - 9:31. Zuletzt geändert am 1. Februar 2021 - 12:34.

Student Conference Proceedings 2019: 8th Conference on Medical Engineering Science and 4th Conference on Medical Informatics and 2nd Conference on Biomedical Engineering and 1st Conference on Auditory Technology

Cover Student Conference 2019.png
Erstellt am 11. März 2019 - 15:13.

Classification of axial CT Images using Deep Learning for determining a Standard Coordinate System

Fleitmann M., Seebaß M., Westerhoff M., Stalling D., Heinrich M.P., Blendowski M.
Classification of axial CT Images using Deep Learning for determining a Standard Coordinate System
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 247-250, 2018
Erstellt am 20. März 2018 - 12:15 von Kulbe.

Studium

Medizinische Informatik
an der Uni Lübeck studieren

Informationen für
Interessierte
u. Einsteiger

Anschrift

Institutssekretariat
Susanne Petersen

Tel+49 451 3101 5601
Fax+49 451 3101 5604


Gebäude 64 (Informatik)

Ratzeburger Allee 160
23538 Lübeck
Deutschland