International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021
] Filter: Autor gleich Barkhausen, Jörg [Clear All Filters]
Mammo3D - Automatic Determination of Corresponding Structures in 2D/3D Image Data of the Female Breast for Multimodal Breast Cancer Diagnosis
In: 15th Korea-Germany Workshop on Advanced Medical Image Analysis and Cognition-Guided Surgery, Ajou University, Suwon, Korea, 30, 2014
Automatic Quality Measurement of Aortic Contrast-enhanced CT Angiographies for Patient-specific Dose Optimization
International Journal of Computer Assisted Radiology and Surgery, 15, 1611-1617, 2020
Automatische Bestimmung von 2D/3D-Korrespondenzen in Mammographie- und Tomosynthese-Bilddaten
In: (eds.), Bildverarbeitung für die Medizin 2012, Informatik aktuell, Berlin, Springer, Berlin Heidelberg, 99-104, 2012
Automatic Quality Assessment of Aortic CT Angiographies for Patient-Individual Dose Adjustment
In: Medical Informatics Europe 2020, Genf, In Press
Computer-Assisted Quality Assessment of Aortic CT Angiographies for Patient-Individual Dose Adjustment
Studies in Health Technology and Informatics, 270, 2020
Automatic Correspondence Detection in Mammogram and Breast Tomosynthesis Images
In: Image Processing, SPIE Medical Imaging 2012, San Diego, California, USA, SPIE, 8314, 831421-1-831421-8, 2012
English
DeutschMedizinische Informatik
an der Uni Lübeck studieren
Institutssekretariat
Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
Gebäude 64 (Informatik)
Ratzeburger Allee 160
23538 Lübeck
Deutschland
Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
Gebäude 64 (Informatik)
Ratzeburger Allee 160
23538 Lübeck
Deutschland