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2D Image Registration for Transforming Segmentation Masks within a Multi-Modal Camera Setup
In: (eds.), Student Conference 2019, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 129-132, 2019
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
Abstract: 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, 19, 2022
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
Advances and challenges in deformable image registration: From image fusion to complex motion modelling
Medical Image Analysis, Elsevier, 33, 145-148, 2016
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
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
IEEE Transactions on Medical Imaging, 37, 2, 384-395, 2018
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
Attention gated networks: Learning to leverage salient regions in medical images
Medical Image Analysis, 53, 197-207, 2019
Attention U-Net: Learning Where to Look for the Pancreas
In: Conference on Medical Imaging with Deep Learning (MIDL 2018), 2018
AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, LNCS, 11071, 905-912, 2018
Automatic Detection and Segmentation of the Acute Vessel Thrombus in Cerebral CT
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 74-79, 2019
Automatic Generation of Synthetic Data for Domain Randomization and Adaptation
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, 137-140, 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
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
BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions
In: International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Cham, 329-337, 2017
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
Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Cham, LNCS, Springer, 11769, 50-58, 2019
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks.
IEEE transactions on medical imaging, 35, 11, 2459-2475, 2016
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
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
Deep Groupwise Registration of MRI Using Deforming Autoencoders
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 236-241, 2020
Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram
Current Directions in Biomedical Engineering, 5, 1, 17-20, 2019
Deep learning for spinal centerline extraction
In: (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 229-232, 2017
Deep learning-based image registration for voxel-based morphometry
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, 275-278, 2021
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 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
Defence of Mathematical Models for Deep Learning based Registration
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 32, 2020
Deformable Image Registration by Combining Uncertainty Estimates from Supervoxel Belief Propagation
Medical Image Analysis, 27, 57-71, 2016
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
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
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
Dimensionality Reduction of Medical Image Descriptors for Multimodal Image Registration
Current Directions in Biomedical Engineering, 1, 1, 201-205, 2015
Dimensionality reduction of multidimensional image descriptors for medical Image registration
In: (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 207-210, 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
An Efficient Implementation of an Affine Point-based Registration using the Expectation Maximization-ICP in C++
In: (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 211-214, 2015
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
Enabling on-Demand Features for Decision Forests - An Approach to Lesion Segmentation in MR Volumes
In: (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 215-218, 2015
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
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
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
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration
IEEE Transactions on Medical Imaging, 1746-1757, 2017
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
Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2019, 69-79, 2020
Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters
In: (eds.), Bildverarbeitung für die Medizin 2021, Regensburg, Informatik aktuell, Springer Vieweg, Wiesbaden, 111-116, 2021
Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging
NeuroImage, Academic Press, 157, 561-574, 2017
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
Medical Image Analysis, 58, 101537, 2019
Evaluation of medical image registration algorithms on pulmonary inhale and exhale CT scans
In: (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 191-194, 2016
Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge
IEEE Transactions on Medical Imaging, 39, 3, 777-786, 2019
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
IEEE Transactions on Medical Imaging, 30, 11, 1901-1920, 2011
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