Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies
International Journal of Computer Assisted Radiology and Surgery, 2022
Image registration and appearance adaptation in non-correspondent image regions for new MS lesions detection
Frontiers in Neuroscience, 16, 2022
Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network
In: (eds.), Biomedical Image Registration. WBIR 2022, Cham, Lecture Notes in Computer Science, Springer International Publishing, 13386, 3-7, 2022
Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering
In: (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, 1-6, 2022
Autoencoders and Variational Autoencoders in Medical Image Analysis
In: (eds.), Biomedical Image Synthesis and Simulations: Methods and Applications, Academic Press, 2022
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
Towards a Horizontal Gaze Nystagmus Detector on a Mobile Platform
In: (eds.), Student Conference Proceedings 2022: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 319-322, 2022
Epistemic and Aleatoric Uncertainty Estimation for PED Segmentation in Home OCT Images
In: (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, 32-37, 2022
Analysis and implementation of semi-supervised segmentation methods using autoencoders
In: (eds.), Student Conference Proceedings 2022: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 479-482, 2022
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
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
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
A systematic comparison of generative models for medical images
International Journal of Computer Assisted Radiology and Surgery, 1-12, 2022
CNN-based joint non-correspondence detection and registration of retinal optical coherence tomography images
In: CARS 2021: Computer Assisted Radiology and Surgery Proceedings of the 35th International Congress and Exhibition, June 21-25, 2021, Munich, Germany, International Journal of Computer Assisted Radiology and Surgery, 16, 20-21, 2021
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
CT Normalization by Paired Image-to-image Translation for Lung Emphysema Quantification
In: (eds.), Bildverarbeitung für die Medizin 2021, Wiesbaden, Informatik Aktuell, Springer Fachmedien Wiesbaden, 276-281, 2021
Analysis of Generative Shape Modeling Approaches
In: (eds.), Bildverarbeitung für die Medizin 2021, Wiesbaden, Informatik Aktuell, Springer Fachmedien Wiesbaden, 344-349, 2021
Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders
In: Medical Imaging with Deep Learning (MIDL 2021), 2021
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
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
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
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