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Image registration and appearance adaptation in non-correspondent image regions for new MS lesions detection
Frontiers in Neuroscience, 16, 2022
New Multiple Sclerosis Lesion Detection with Convolutional Neural Registration Networks
In: (eds.), Proceedings of the 2nd MICCAI challenge on multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure — MICCAI-MSSEG-2, 111-114, 2021
Temporal Polyrigid Registration for Patch-based MPI Reconstruction of Moving Objects
In: (eds.), 8th International Workshop on Magnetic Particle Imaging, IWMPI 2018, Hamburg, Infinite Science Publishing, 55-56, 2018
Temporal Polyrigid Registration for Patch-based MPI Reconstruction of Moving Objects
International Journal on Magnetic Particle Imaging, 5, 1, 2019
Deep-Learning-based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization
In: International Conference on Wireless Mobile Communication and Healthcare, Springer, Cham, 315-322, 2021
A Comparison of Feature Extraction Models for Medical Image Captioning
In: 67. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 13. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF), Kiel, 2022
Proposal of Semantic Annotation for German Metadata Using Bidirectional Recurrent Neural Networks.
Studies in health technology and informatics, 294, 357-361, 2022
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
Memory-efficient GAN-based domain translation of high resolution 3D medical images
Computerized Medical Imaging and Graphics, 86, 101801, 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
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-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
Unsupervised Pathology Detection in Medical Images using Conditional Variational Autoencoders
International Journal of Computer Assisted Radiology and Surgery, 14, 3, 451-461, 2019
A systematic comparison of generative models for medical images
International Journal of Computer Assisted Radiology and Surgery, 1-12, 2022
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 Learning-based Methods
In: (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 61-66, 2018
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
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: Proc. SPIE 12033, Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, United States, SPIE, 12033, 2022
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
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
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
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
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
Analysis of Generative Shape Modeling Approaches
In: (eds.), Bildverarbeitung für die Medizin 2021, Wiesbaden, Informatik Aktuell, Springer Fachmedien Wiesbaden, 344-349, 2021
Evaluation of Image Processing Methods for Clinical Applications
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 15-20, 2019
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