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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
Automatic Orientation Detection of Hand Structures in Digital X-Ray Images
In: (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 203-206, 2016
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
Improvement of Machine Learning Algorithms for Object Detection
In: (eds.), Student Conference Proceedings 2021: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 325-328, 2021
End-to-end learning of body weight prediction from point clouds with basis point sets
In: (eds.), Bildverarbeitung für die Medizin 2021, Regensburg, Informatik aktuell, Springer Vieweg, Wiesbaden, 254-259, 2021
Learning Interpretable Multi-modal Features for Alignment with Supervised Iterative Descent
In: International Conference on Medical Imaging with Deep Learning, PMLR, 102, 73-83, 2019
Learning to map between ferns with differentiable binary embedding networks
In: International Conference on Medical Imaging with Deep Learning, PMLR, 2020
Multimodal 3D medical image registration guided by shape encoder–decoder networks
International Journal of Computer Assisted Radiology and Surgery, 15, 269-276, 2020
Combining MRF-based Deformable Registration and Deep Binary 3D-CNN Descriptors for Large Lung Motion Estimation in COPD Patients
International Journal of Computer Assisted Radiology and Surgery, 14, 1, 43-52, 2019
Kombination binärer Kontextfeatures mit Vantage Point Forests zur Multi-Organ-Segmentierung
In: (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 24-24, 2017
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
3D-CNNs for Deep Binary Descriptor Learning in Medical Volume Data
In: (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin, Heidelberg, 23-28, 2018
Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration
Medical Image Analysis, 67, 101822, 2021
Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram
Current Directions in Biomedical Engineering, 5, 1, 17-20, 2019
U-Net-based Segmentation of Biodegradable Bone Implants in Synchrotron Radiation Microtomograms with Sparse Annotations
In: (eds.), Student Conference 2019, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 145-148, 2019
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
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
Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation
In: (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 229-232, 2018
Student Conference Proceedings 2016: 5th Conference on Medical Engineering Science and 1st Conference on Medical Informatics
Infinite Science Publishing, Lübeck, 2016
Student Conference Proceedings 2017: 6th Conference on Medical Engineering Science and 2nd Conference on Medical Informatics
Infinite Science Publishing, Lübeck, 2017
Proceedings, Student Conference 2015, Medical Engineering Science
Infinite Science Publishing, Lübeck, 2015
FlowNet application for 3D image registration
In: (eds.), Student Conference Proceedings 2021: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 291-294, 2021
Dimensionality reduction of multidimensional image descriptors for medical Image registration
In: (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 207-210, 2015
Dimensionality Reduction of Medical Image Descriptors for Multimodal Image Registration
Current Directions in Biomedical Engineering, 1, 1, 201-205, 2015
Multi-Atlas Based Pseudo-CT Synthesis using Multimodal Image Registration and Local Atlas Fusion Strategies
In: Workshop on Biomedical Image Registration (WBIR) 2016 (CVPR Workshop), Las Vegas, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 160-168, 2016
Learning an airway atlas from lung CT using semantic inter-patient deformable registration
In: (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, 75-80, 2022
Classification of axial CT Images using Deep Learning for determining a Standard Coordinate System
In: (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 247-250, 2018
Ischemic Stroke Lesion Segmentation - Setup of a Challenge
In: (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 219-222, 2015
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
Spatiotemporal Attention for Realtime Segmentation of Corrupted Sequential Ultrasound Data
In: (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, 235-240, 2022
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
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
Model-based Respiratory Motion Compensation in MRI-guided Radiotherapy
In: (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 239-242, 2016
Multi-object segmentation in chest X-ray using cascaded regression ferns
In: (eds.), Bildverarbeitung in der Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 254-259, 2017
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
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds
In: Computer Vision – ECCV 2018 Workshops, Cham, Lecture Notes in Computer Science, Springer, 11131, 4413, 456-469, 2019
Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room
International Journal of Computer Assisted Radiology and Surgery, 14, 11, 1871-1879, 2019
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients
In: Graph Learning in Medical Imaging. GLMI 2019, Cham, Lecture Notes in Computer Science, Springer, 11849, 53-61, 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
Sparse Structured Prediction for Semantic Edge Detection in Medical Images
In: International Conference on Medical Imaging with Deep Learning, PMLR, 102, 250-259, 2019
Probabilistic Dense Displacement Networks for Medical Image Registration - Contributions to the Learn2Reg challenge
In: (eds.), Bildverarbeitung für die Medizin 2021, Regensburg, Informatik aktuell, Springer Vieweg, Wiesbaden, 125-126, 2021
Defence of Mathematical Models for Deep Learning based Registration
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 32, 2020
Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields
In: (eds.), 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, Munich, Lecture Notes in Computer Science, Springer, Berlin, LNCS Vol. 9350, 338-345, 2015
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
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