Publikationen | Institute of Medical Informatics

EAI MedAI 2020

EAI International Symposium on Medical Artificial Intelligence

Nov. 30 – Dec. 1, 2020
Lübeck, Germany

MIDL 2021

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

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Uzunova H., Schultz S., Handels H., Ehrhardt J.
Evaluation of Image Processing Methods for Clinical Applications
In: Handels H., Deserno T.M., Maier A., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 15-20, 2019

Uzunova H., Ehrhardt J., Jacob F., Frydrychowicz A., Handels H.
Multi-Scale GANs for Memory-Effcient Generation of High Resolution Medical Images
In: Tolxdorff T., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Palm C. (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 286, 2020

Uzunova H., Wilms M., Handels H., Ehrhardt J.
Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation
In: Descoteaux M., et al (eds.), 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017, Quebec, Springer, Part I, LNCS 10433, 223-231, 2017

Uzunova H., Handels H., Ehrhardt J.
Groupwise Affine Registration of Medical Images with Missing Correspondences
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 213-216, 2017

Uzunova H., Ehrhardt J., Handels H.
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, In Press

Uzunova H., Handels H., Ehrhardt J.
Unsupervised Pathology Detection in Medical Images using Learning-based Methods
In: Maier A., Deserno T.M., Handels H., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 61-66, 2018

Uzunova H., Ehrhardt J., Jacob F., Frydrychowicz A., Handels H.
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

Uzunova H., Ehrhardt J., Kepp T., Handels H.
Interpretable Explanations of Black Box Classifiers Applied on Medical Images by Meaningful Perturbations Using Variational Autoencoders
In: Handels H., Deserno T.M., Maier A., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 197, 2019

Uzunova H., Schultz S., Handels H., Ehrhardt J.
Unsupervised Pathology Detection in Medical Images using Conditional Variational Autoencoders
International Journal of Computer Assisted Radiology and Surgery, 14, 3, 451-461, 2019

Uzunova H., Kaftan P., Wilms M., Forkert N.D., Handels H., Ehrhardt J.
Quantitative Comparison of Generative Shape Models for Medical Images
In: Tolxdorff T., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Palm C. (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 201-207, 2020

Uzunova H., Ehrhardt J., Kepp T., Handels H.
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

Uzunova H., Handels H., Ehrhardt J.
Robust Groupwise Affine Registration of Medical Images with Stochastic Optimization
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 62-67, 2017

Ulrich H., Kern J., Kock-Schoppenhauer A.-K., Lablans M., Ingenerf J.
Towards a Federation of Metadata Repositories: Addressing Technical Interoperability
In: GMDS 2019, Dortmund, Stud Health Technol Inform, 267, 74-80, 2019

Ulrich H., Kern J., Tas D., Kock-Schoppenhauer A.-K., Ückert F., Ingenerf J., Lablans M.
QL4MDR: a GraphQL query language for ISO 11179-based metadata repositories
BMC Medical Informatics and Decision Making, 19, 1, 45, 2019

Ulrich H., Kock A.-K., Duhm-Harbeck P., Habermann J.K., Ingenerf J.
Metadata Repository for Improved Data Sharing and Reuse Based on HL7 FHIR.
Studies in health technology and informatics, 228, 162-6, 2016

Ulrich H., Kock-Schoppenhauer A.-K., Andersen B., Duhm-Harbeck P., Ingenerf J.
Mapping clinical care and research data to HL7 FHIR to improve sharing and reuse
In: Informatics for Health 2017, Manchester Central, UK, 2017

Ulrich H., Kock-Schoppenhauer A.-K., Duhm-Harbeck P., Ingenerf J.
Using Graph Tools on Metadata Repositories
Studies in health technology and informatics, 253, 55-59, 2018

Ulrich H., Kock-Schoppenhauer A.-K., Andersen B., Ingenerf J.
Analysis of Annotated Data Models for Improving Data Quality
Studies in health technology and informatics, 243, 190-194, 2017

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