International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021
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Interpretable Explanations of Black Box Classifiers Applied on Medical Images by Meaningful Perturbations using Variational Autoencoders
In: SPIE 10949, Medical Imaging 2019: Image Processing, San Diego, USA, 10949, 1094911-1-1094911-8, 2019
Robust Groupwise Affine Registration of Medical Images with Stochastic Optimization
In: (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 62-67, 2017
Evaluation of Image Processing Methods for Clinical Applications
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 15-20, 2019
Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation
In: (eds.), 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017, Quebec, Springer, Part I, LNCS 10433, 223-231, 2017
Groupwise Affine Registration of Medical Images with Missing Correspondences
In: (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 213-216, 2017
Unsupervised Pathology Detection in Medical Images using Learning-based Methods
In: (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 61-66, 2018
Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
In: 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2019, Shenzen, China, 11769, 112-120, 2019
Interpretable Explanations of Black Box Classifiers Applied on Medical Images by Meaningful Perturbations Using Variational Autoencoders
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 197, 2019
Unsupervised Pathology Detection in Medical Images using Conditional Variational Autoencoders
International Journal of Computer Assisted Radiology and Surgery, 14, 3, 451-461, 2019
Analysis of Annotated Data Models for Improving Data Quality
Studies in health technology and informatics, 243, 190-194, 2017
Towards a Federation of Metadata Repositories: Addressing Technical Interoperability
In: GMDS 2019, Dortmund, Stud Health Technol Inform, 267, 74-80, 2019
QL4MDR: a GraphQL query language for ISO 11179-based metadata repositories
BMC Medical Informatics and Decision Making, 19, 1, 45, 2019
Metadata Repository for Improved Data Sharing and Reuse Based on HL7 FHIR.
Studies in health technology and informatics, 228, 162-6, 2016
Mapping clinical care and research data to HL7 FHIR to improve sharing and reuse
In: Informatics for Health 2017, Manchester Central, UK, 2017
Using Graph Tools on Metadata Repositories
Studies in health technology and informatics, 253, 55-59, 2018
English
DeutschStudy Medical Informatics
at the University of Lübeck
Office
Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
Ratzeburger Allee 160
23538 Lübeck
Germany
Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
Ratzeburger Allee 160
23538 Lübeck
Germany