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One Step Away from Technology but One Step Towards Domain Experts—MDRBridge: A Template-Based ISO 11179-Compliant Metadata Processing Pipeline
Methods of Information in Medicine, 58, S 02, e72-e79, 2019
Increasing Standardization of Biobank Data through HL7 FHIR Mapping
In: Global Biobank Week, Stockholm, Global Biobank Week Posters Abstracts Book 2017, 135, 2017
Scientific Challenge in eHealth: MAPPATHON- A Metadata Mapping Challenge
In: MedInfo, Lyon, Stud Health Technol Inform, 264, 1516-1517, 2019
Practical Extension of Provenance to Healthcare Data Based on the W3C PROV Standard
Studies in health technology and informatics, 253, 28-32, 2018
Medical Data Engineering – Theory and Practice
In: (eds.), Advances in Model and Data Engineering in the Digitalization Era. MEDI 2021, Communications in Computer and Information Science, Springer, Cham, 1481, 2021
Linked Data Applications through Ontology Based Data Access in Clinical Research
In: Informatics for Health 2017, Manchester Central, UK, Studies in Health Technology and Informatics, 235, 131-135, 2017
CUDA Optimierung von nicht-linearer oberflächen- und intensitätsbasierter Registrierung
In: (eds.), Bildverarbeitung für die Medizin 2011, Informatik aktuell, Lübeck, Springer Berlin Heidelberg, 99-103, 2011
Monocular Depth Estimation for Bronchoscopic Navigation
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, 471-474, 2022
A general framework for sensor-based human activity recognition.
Computers in biology and medicine, 95, 248-260, 2018
Analysis of the impact of super-resolution on medical CT-Scans for classification and segmentation
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, 235-238, 2022
Labeling of Partially Occluded Regions via the Multi-Layer CRF
Multimedia Tools and Applications, 78, 2, 2551-2569, 2019
Environmental microorganism classification using conditional random fields and deep convolutional neural networks
Pattern Recognition, 77, 248-261, 2018
Electromyography-based Translator of the Polish Sign Language
7th International Conference on Information Technologies in Biomedicine (ITIB 2019), Springer, Kamień Śląski, Poland, 2019
Psychoakustische Skalierung elektroakustischer Heiserkeitsparameter
(eds.), Aktuelle phoniatrisch-pädauiologische Aspekte 2007/2008, Median-Verlang, Heidelberg, 2007
Synthetic Training with Generative Adversarial Networks for Segmentation of Microscopies
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 37-42, 2019
Differentiation between Nevocellular Nevi and Malignant Melanoma by Skin Surface Parameters
In: (eds.), Bioengineering of the Skin: Skin Surface Imaging and Analysis, CRC Press, Boca Raton, 289-300, 1997
Classification of Melanocytic Skin Tumours with High Resolution Surface Profiles and Neural Networks
In: 4th World Conference on Melanoma, Sydney, 1997
Sensor Headband for Emotion Recognition in a Virtual Reality Environment
In: 6th International Conference on Information Technologies in Biomedicine (ITIB 2018), Kamień Śląski, Poland, Springer, 539-548, 2018
Denoising spectral CT images using parallel level sets
In: (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 207-210, 2016
Registration with probabilistic correspondences — Accurate and robust registration for pathological and inhomogeneous medical data
Computer Vision and Image Understanding, 190, 102839, 2020
Statistical appearance models based on probabilistic correspondences
Medical Image Analysis, 37, 146-159, 2017
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
A Maximum-A-Posteriori Framework for Statistical Appearance Models with Probabilistic Correspondences
In: Bayesian an grAphical Models for Biomedical Imaging 2015 (MICCAI 2015), 2015
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
Breast Compression Simulation Using ICP-Based B-Spline Deformation for Correspondence Analysis in Mammography and MRI Datasets
In: (eds.), Image Processing, SPIE Medical Imaging 2013, Orlando, USA, SPIE, 8669-48,1D1-1D8, 2013
Automatische Bestimmung von 2D/3D-Korrespondenzen in Mammographie- und Tomosynthese-Bilddaten
In: (eds.), Bildverarbeitung für die Medizin 2012, Informatik aktuell, Berlin, Springer, Berlin Heidelberg, 99-104, 2012
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
Evaluation of a B-Spline-Based Breast Compression Simulation for Correspondence Analysis between MRI and Mammographic Image Data
In: Workshop on Breast Image Analysis - In conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), Nagoya, Japan, 17-24, 2013
Probabilistic Appearance Models for Medical Image Analysis
In: (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 37-38, 2018
Simulation mammographischer Brustkompression zur Generierung von MRT-Projektionsbildern
In: (eds.), Bildverarbeitung für die Medizin, BVM 2013, Heidelberg, Informatik aktuell, Springer Verlag, Berlin, 146-151, 2013
Simulation of Mammographic Breast Compression in 3D MR Images Using ICP-Based B-Spline Deformation for Multimodality Breast Cancer Diagnosis
International Journal of Computer Assisted Radiology and Surgery, 9, 3, 367-377, 2014
Probabilistic Appearance Models for Segmentation and Classification
In: International Conference on Computer Vision - ICCV 2015, Santiago de Chile, Chile, 1698-1706, 2015
Multi-modal Unsupervised Domain Adaptation for Deformable Registration Based on Maximum Classifier Discrepancy
In: (eds.), Bildverarbeitung für die Medizin 2021, Regensburg, Informatik aktuell, Springer Vieweg, Wiesbaden, 192-197, 2021
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