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
Registration with probabilistic correspondences — Accurate and robust registration for pathological and inhomogeneous medical data
Computer Vision and Image Understanding, 190, 102839, 2020
High-resolution T2-FLAIR and non-contrast CT brain atlas of the elderly
Scientific Data, 7, 56, 2020
Memory-efficient GAN-based domain translation of high resolution 3D medical images
Computerized Medical Imaging and Graphics, 86, 101801, 2020
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
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
Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 23-28, 2019
Temporal Polyrigid Registration for Patch-based MPI Reconstruction of Moving Objects
International Journal on Magnetic Particle Imaging, 5, 1, 2019
Topology-Preserving Shape-Based Regression of Retinal Layers in OCT Image Data Using Convolutional Neural Networks
In: IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venedig, Italien, 1437-1440, 2019
A Probabilistic Approach for the Registration of Images with Missing Correspondences
In: SPIE 10949, Medical Imaging 2019: Image Processing, San Diego, USA, 10949, 1094925-1-10949251-8, 2019
Bayesian Inference for Uncertainty Quantification in Point-based Deformable Image Registration
In: SPIE 10949, Medical Imaging 2019: Image Processing, San Diego, USA, 10949, 109491S-1-109491S-8, 2019
Evaluation of Image Processing Methods for Clinical Applications
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 15-20, 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
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
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
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
Probabilistic Appearance Models for Medical Image Analysis
In: (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 37-38, 2018
A multilevel Markov Chain Monte Carlo approach for uncertainty quantification in deformable registration
In: (ed.), SPIE Medical Imaging 2018: Image Processing, Houston, Texas, United States, SPIE, 10574, 105740O-1-105740O-8, 2018
Statistical shape modeling of the left ventricle: myocardial infarct classification challenge.
IEEE journal of biomedical and health informatics, 22, 2, 503-515, 2018
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
Model-Based 4D Segmentation of Cardiac Structures in Cine MRI Sequences
In: (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 18-23, 2017
Joint registration and segmentation using statistical shape models
In: (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 201-204, 2017
Student Conference Proceedings 2017: 6th Conference on Medical Engineering Science and 2nd Conference on Medical Informatics
Infinite Science Publishing, Lübeck, 2017
Vergleich von Verfahren zur automatischen Detektion der Position und Orientierung des Herzens in 4D-Cine-MRT-Bilddaten
In: (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 293-298, 2017
Statistical appearance models based on probabilistic correspondences
Medical Image Analysis, 37, 146-159, 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
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
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
Learning of Representative Multi-Resolution Multi-Object Statistical Shape Models from Small Training Populations
In: (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 359-360, 2017
Multi-resolution multi-object statistical shape models based on the locality assumption.
Medical image analysis, 38, 17-29, 2017
Patch-Based Learning of Shape, Appearance, and Motion Models from Few Training Samples by Low-Rank Matrix Completion
In: (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 215-216, 2017
Representative Patch-based Active Appearance Models Generated From Small Training Populations
In: (eds.), 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017, Quebec, Springer, Part I, LNCS 10433, 152-160, 2017
Subpopulation-based correspondence modelling for improved respiratory motion estimation in the presence of inter-fraction motion variations
Physics in Medicine and Biology, 62, 14, 5823-5839, 2017
Automatic Detection of Cardiac Remodeling using Global and Local Clinical Measures and Random Forest Classification
In: MICCAI Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, Springer International Publishing, 199-207, 2016
Comparison of Post-hoc Normalization Approaches for CT-based Lung Emphysema Index Quantification
In: (eds.), Bildverarbeitung für die Medizin 2016, Berlin, Informatik aktuell, Springer, Berlin Heidelberg, 44-49, 2016
Patch-based Low-rank Matrix Completion for Learning of Shape and Motion Models from Few Training Samples
In: 14th European Conference on Computer Vision (ECCV) 2016, Amsterdam, Lecture Notes in Computer Science, 9908, 712-727, 2016
Multi-level approach for statistical appearance models with probabilistic correspondences
In: (eds.), SPIE Medical Imaging 2016: Image Processing, San Diego, California, United States, SPIE, 9784, 978433-978433-6, 2016
Variational Registration - A Flexible Open-Source ITK Toolbox for Nonrigid Image Registration
In: (eds.), Bildverarbeitung für die Medizin 2015, Lübeck, Informatik aktuell, Springer, Berlin Heidelberg, 209-214, 2015
Evaluation verschiedener Ansätze zur 4D-4D-Registrierung kardiologischer MR-Bilddaten
In: (eds.), Bildverarbeitung für die Medizin 2015, Lübeck, Informatik aktuell, Springer, Berlin Heidelberg, 95-100, 2015
A Maximum-A-Posteriori Framework for Statistical Appearance Models with Probabilistic Correspondences
In: Bayesian an grAphical Models for Biomedical Imaging 2015 (MICCAI 2015), 2015
Probabilistic Appearance Models for Segmentation and Classification
In: International Conference on Computer Vision - ICCV 2015, Santiago de Chile, Chile, 1698-1706, 2015
Measurement ans Analysis of the repiration-driven Motion of the Pulmonary Artery
In: (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 131-134, 2015
Estimation of corresponding locations in ipsilateral mammograms: a comparison of different methods
In: (eds.), SPIE Medical Imaging 2015: Computer-Aided Diagnosis, Orlando, Florida, United States, SPIE, 9414, 94142B, 2015
Population-based Correspondence Models for Respiratory Motion Estimation in the Presence of Interfraction Motion Variations
In: Imaging and Computer Assistance in Radiation Therapy, ICART 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, 81-88, 2015
Joint Multi-Object Registration and Segmentation of Left and Right Cardiac Ventricles in 4D Cine MRI
In: (eds.), SPIE Medical Imaging 2014, Image Processing, San Diego, USA, 9034, 90340M, 2014
Motion Estimation in Artifact-affected 4D CT Images Using Temporal Consistent Model-based Registration with Local Adaptive Weights
In: MICCAI Workshop Image Guided Radiation Therapy, 17th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, Boston, 5-12, 2014
Statistical Shape and Appearance Models without One-to-One Correspondences
In: (eds.), SPIE Medical Imaging 2014, Image Processing, San Diego, USA, 9034, 90340U, 2014
4D Medial Image Computing and Model-based Estimation of Respiratory Motion in Image-guided Radiation Therapy
In: 15th Korea-Germany Workshop on Advanced Medical Image Analysis and Cognition-Guided Surgery, Ajou University, Suwon, Korea, 19, 2014
Probabilistic Shape and Appearance Models without One-to-One Correspondences
In: 1st Symposium on Statistical Shape Models and Applications, Shape 2014, Delemont, Switzerland, Proceedings, 22, 2014
English
DeutschStudy Medical Informatics
at the University of Lübeck
Office
Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
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23538 Lübeck
Germany
Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
Ratzeburger Allee 160
23538 Lübeck
Germany