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Improved SELFF-OCT using motion correction and artifact detection
Investigative Ophthalmology & Visual Science, 62, 8, 2527, 2021
Improved SELFF-OCT using motion correction and artifact detection
Investigative Ophthalmology & Visual Science, 62, 8, 2527, 2021
Comparison of Statistical Shape Models Built on Correspondence Probabilities and One-to-One Correspondences
In: (eds.), SPIE Medical Imaging 2008, Image Processing, San Diego, Vol. 6914, 4T1-4T9, 2008

Computation of a Probabilistic Statistical Shape Model in a Maximum-a-Posteriori Framework
Methods of Information in Medicine, 48, 4, 314-319, 2009
Shape Analysis Using a Point-Based Statistical Shape Model Build on Correspondence Probabilites
In: 10th International Conference on Medical Image Computing and Computer-Assisted Intervention 2007, MICCAI 2007, Brisbane, Australia, Springer, Berlin, Part I, 959-967, 2007

Non-linear 2D and 3D Registration Using Block-Matching and B-Splines
In: (eds.), Bildverarbeitung für die Medizin 2005: Algorithmen - Systeme - Anwendungen, Hamburg, Informatik aktuell, Springer-Verlag, 325-329, 2005
A Global Criterion for the Computation of Statistical Shape Model Parameters Based on Correspondence Probabilities
In: (eds.), Bildverarbeitung für die Medizin 2008, Berlin, Informatik aktuell, Springer Verlag, 277-282, 2008

Application of a Probabilistic Statistical Shape Model to Automatic Segmentation
In: (eds.), World Congress on Medical Physics and Biomedical Engineering, Munich, Germany , IFMBE Proceedings, Springer, Berlin Heidelberg, 25/4, 2181-2184, 2009
Coupled Level Set Segmentation Using a Point-Based Statistical Shape Model Relying on Correspondence Probabilities
In: SPIE Medical Imaging 2010: Image Processing, San Diego, California, USA, SPIE, 7623, 762318-1-762318-8, 2010
A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis
(ed.), Medizintechnik - Medizinische Bildgebung, Bildverarbeitung und bildgeführte Interventionen, Vieweg+Teubner Verlag, Wiesbaden, 2011
Generation of a statistical shape model with probabilistic point correspondences and the expectation maximization- iterative closest point algorithm
International Journal of Computer Assisted Radiology and Surgery, 2, 5, 265-273, 2008
Level Set Segmentation Using a Point-Based Statistical Shape Model Relying on Correspondence Probabilities
In: Workshop Probabilistic Models for Medical Image Analysis, PMMIA 09, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, London, United Kingdom, 34-44, 2009
Point-Based Statistical Shape Models with Probabilistic Correspondences and Affine EM-ICP
In: (eds.), Bildverarbeitung für die Medizin 2007, München, Informatik aktuell, Springer Verlag, 434-438, 2007

Implementation Guide Rare Disease Documentation - Enabling of the FAIR Principles for Rare Diseases
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, 277-280, 2022
Sleep stage classification for child patients using DeConvolutional Neural Network
Artificial Intelligence in Medicine, 110, 101981, 2020
Feature Extraction and Classification of Sensor Signals in Cars Based on a Modified Codebook Approach
11th International Conference on Computer Recognition Systems (CORES 2019), Springer, Polanica-Zdrój, Poland, 2019
IJCARS Special Issue: BVM 2007 German Conference on Medical Image Processing
International Journal of Computer Assisted Radiology and Surgery, 2008
Sacroiliitis, Hyperostosis Sternoclavicularis and Psoriasis Palmoplantaris in Monocygotic Twins
Arthritis and rheumatism, 42, 3, 574-6, 1999
Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks
Sensors, MDPI, 21, 4, 1086, 2021
Test Automation Framework for an HL7 integration engine
In: (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 125-128, 2016
Aortic Detection in Image Sequences of Electrical Impedance Tomography
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 335-338, 2020
Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation
In: (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, 89-94, 2022
Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans
International Journal of Computer Assisted Radiology and Surgery, 14, 11, 1901-1912, 2019
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 309-314, 2019
Short-term Load Forecasting with Discrete State Hidden Markov Models
Journal of Intelligent & Fuzzy Systems, 38, 2, 2273-2284, 2020
Short-Term Load Forecasting Using an Attended Sequential Encoder-Stacked Decoder Model with Online Training
Applied Sciences, MDPI, 11, 2021
Light-weight semantic segmentation and labelling of vertebrae in 3D-CT scans
In: (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, Abstract:19, 2022
Opportunistic CT screening for degenerative deformities and osteoporotic fractures with 3D DeepLab
In: Proc. SPIE 12032, Medical Imaging 2022: Image Processing, San Diego, United States, SPIE, 17, 2022
Activity Scores of Older Adults based on Inertial Measurement Unit Data in Everyday Life
In: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF, Valetta (Malta), SCITEPRESS – Science and Technology Publications, Lda., 579-585, 2020
Validation of a motion capture suit for clinical gait analysis
In: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare - PervasiveHealth '17, New York, New York, USA, ACM Press, 120-126, 2017
Stair Climb Power Measurements via Inertial Measurement Units - Towards an Unsupervised Assessment of Strength in Domestic Environments
In: Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, 39-47, 2018
Evaluation of Power-Based Stair Climb Performance via Inertial Measurement Units
In: (eds.), Biomedical Engineering Systems and Technologies, Cham, Springer International Publishing, 238-261, 2019
Towards a minimized unsupervised technical assessment of physical performance in domestic environments
In: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare - PervasiveHealth '17, New York, New York, USA, ACM Press, 207-216, 2017
A Model-Based Approach for Jump Analyses Regarding Strength and Balance
In: (eds.), Biomedical Engineering Systems and Technologies, Cham, Springer International Publishing, 354-375, 2018
Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs
Sensors, 19, 6, 1370, 2019
Understanding Jump Landing as an Oscillating System: A Model-based Approach of Balance and Strength Analyses
In: Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies, Porto, SCITEPRESS - Science and Technology Publications, 159-168, 2017
Technology Supported Geriatric Assessment
In: (eds.), Ambient Assisted Living: 9. AAL-Kongress, Frankfurt/M, Germany, April 20 - 21, 2016, Springer International Publishing, Cham, 85-100, 2017
Analyse und Quantifizierung regionaler Lungenbewegungen in 4D-Bilddaten
In: 54. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds). Düsseldorf: German Medical Science GMS Publishing House, 2009
BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions
In: International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Cham, 329-337, 2017

OBELISK – One Kernel to Solve Nearly Everything:Unified 3D Binary Convolutions for Image Analysis
In: Conference on Medical Imaging with Deep Learning (MIDL 2018), 2018
MRF-based deformable registration and ventilation estimation of lung CT.
IEEE transactions on medical imaging, 32, 7, 1239-48, 2013
Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling.
Medical image computing and computer-assisted intervention : MICCAI 2012 International Conference on Medical Image Computing and Computer-Assisted Intervention, 15, Pt 3, 115-22, 2012
Multi-Atlas Segmentation using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression
In: MICCAI Workshop on Patch-based Techniques in Medical Imaging, Patch-MI 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, Lecture Notes in Computer Science, LNCS Vol. 9467, 146-153, 2015
Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion
In: International Workshop on Computational Methods and Clinical Applications for Spine Imaging, Springer, Cham, 77-84, 2016
Edge- and detail-preserving sparse image representations for deformable registration of chest MRI and CT volumes.
Information processing in medical imaging, 23, 463-74, 2013
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions
International Journal of Computer Assisted Radiology and Surgery, 13, 9, 1311-1320, 2018