Filters: Author is Heinz Handels [Clear All Filters]
Automatic Quality Assessment of Aortic CT Angiographies for Patient-Individual Dose Adjustment
In: Medical Informatics Europe 2020, Genf, In Press
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
MetaCheck – a Web Application for the Automatic Evaluation of Metadata in Healthcare
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 143-146, 2020
Analysis of Data Loss when using the Archiving and Exchange Interface for Practice Management Systems
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 123-126, 2020
Development of a Deep Learning based classification of respirator masks for a mobile application
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 193-196, 2020
Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 192, 2020
Removal of ECG artifacts caused by mechanical CPR using externally recorded compression markers
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 323-326, 2020
Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis
Scientific Reports, 10, 1, 1-19, 2020
Computer-Assisted Quality Assessment of Aortic CT Angiographies for Patient-Individual Dose Adjustment
Studies in Health Technology and Informatics, 270, 123-127, 2020
Fast Pulmonary Fissure Detection in CT Scans using Deep Learning on Point Clouds
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 201-204, 2020
Efficient Self-Supervised Context Learning on MRI data
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 189-192, 2020
Defence of Mathematical Models for Deep Learning based Registration
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 32, 2020
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
Connecting Old Devices Safely To The Cloud
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 277-280, 2020
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 183, 2020
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
In: SPIE Medical Imaging 2020, Houston, USA, 2020
Der Einfluss von Segmentierung auf die Genauigkeit eines CNN-Klassifikators zur Mimik-Steuerung
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 294-300, 2020
Registration with probabilistic correspondences — Accurate and robust registration for pathological and inhomogeneous medical data
Computer Vision and Image Understanding, 190, 102839, 2020
Transforming Nutrition Databases Towards Semantically Consistent Content Classification
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 147-150, 2020
Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 143, 2020
Automatic multi-object organ detection and segmentation in abdominal CT data
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 197-200, 2020
Automatische Detektion von Zwischenorgan-3D-Barrieren in abdominalen CT-Daten
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 46-51, 2020
Automatic anatomical structure detection in aortic CT angiography
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 157-160, 2020
Automatic Quality Measurement of Aortic Contrast-enhanced CT Angiographies for Patient-specific Dose Optimization
International Journal of Computer Assisted Radiology and Surgery, 15, 1611-1617, 2020
Workflow development to create and analyse QA parameter from MRI images
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 185-188, 2020
Deploying a molecular tumor board on an open platform
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 139-142, 2020
Automatic segmentation of prostate zones in MRI data using different variants of the U-Net
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 169-172, 2020
Deep Groupwise Registration of MRI Using Deforming Autoencoders
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 236-241, 2020
Frequency based detection of regions of interest in videodata to estimate human breathing frequency
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 177-180, 2020
Patientenindividuelle Optimierung der Kontrastmittelapplikation bei der CT Angiografie der Aorta
Fortschr Röntgenstr, 192, S 01, S28, 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
Generation of message transformers based on HL7 FHIR StructureMaps within the interface engine Mirth Connect
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 131-134, 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
Model-based Sparse-to-dense Image Registration for Realtime Respiratory Motion Estimation in Image-guided Interventions
IEEE Transactions on Biomedical Engineering, 66, 2, 302-310, 2019

Deep Transfer Learning for Aortic Root Dilation Identification in 3D Ultrasound Images
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 198, 2019
Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 178-183, 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
Robust GPU-based Virtual Reality Simulation of Radio-frequency Ablations for Various Needle Geometries and Locations
International Journal of Computer Assisted Radiology and Surgery, 14, 11, 1825-1835, 2019
Simulation von Radiofrequenzablationen für die Leberpunktion in 4D-VR-Simulationen
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 289-294, 2019
Segmentation of Mouse Skin Layers in Optical Coherence Tomography Image Data using Deep Convolutional Neural Networks
Biomedical Optics Express, 10, 7, 3484-3496, 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

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
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