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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
Proposal of Semantic Annotation for German Metadata Using Bidirectional Recurrent Neural Networks.
Studies in health technology and informatics, 294, 357-361, 2022
A Smart Mapping Editor for Standardised Data Transformation
Studies in Health Technology and Informatics, 270, 1185-1186, 2020
Mapping clinical care and research data to HL7 FHIR to improve sharing and reuse
In: Informatics for Health 2017, Manchester Central, UK, 2017
Hands on the Medical Informatics Initiative Core Data Sets - Lessons Learned from Converting the MIMIC-IV
Studies in Health Technology and Informatics, 283, 119-126, 2021
Using Graph Tools on Metadata Repositories
Studies in health technology and informatics, 253, 55-59, 2018
Analysis of Annotated Data Models for Improving Data Quality
Studies in health technology and informatics, 243, 190-194, 2017
Understanding the Nature of Metadata – A Systematic Review
Journal of Medical Internet Research, In Press
Analysis of ISO/TS 21526 Towards the Extension of a Standardized Query API
Studies in Health Technology and Informatics, 275, 202-206, 2020
A systematic comparison of generative models for medical images
International Journal of Computer Assisted Radiology and Surgery, 1-12, 2022
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
Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural Networks
In: 23th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2020, Virtual Conference, Lima, Peru, Springer, Cham, 501-511, 2020
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
Synthesis of annotated pathological retinal OCT data with pathology-induced deformations
In: Proc. SPIE 12033, Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, United States, SPIE, 12033, 2022
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
Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders
In: (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, Abstract:81, 2022
Memory-efficient GAN-based domain translation of high resolution 3D medical images
Computerized Medical Imaging and Graphics, 86, 101801, 2020
Analysis of Generative Shape Modeling Approaches
In: (eds.), Bildverarbeitung für die Medizin 2021, Wiesbaden, Informatik Aktuell, Springer Fachmedien Wiesbaden, 344-349, 2021
Quantitative Comparison of Generative Shape Models for Medical Images
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 201-207, 2020
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
Synthesis of annotated pathological retinal OCT data with pathology-induced deformations
In: (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, Abstract:197, 2022
Evaluation of Image Processing Methods for Clinical Applications
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 15-20, 2019
Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders
In: Medical Imaging with Deep Learning (MIDL 2021), 2021
Multi-Scale GANs for Memory-Effcient Generation of High Resolution Medical Images
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 286, 2020
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
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