Suitability of DNN-based vessel segmentation for SIRT planning.
Int. J. Comput. Assist. Radiol. Surg., February, 2024
Comparative evaluation of uncertainty estimation and decomposition methods on liver segmentation.
Int. J. Comput. Assist. Radiol. Surg., February, 2024
Application of Active Learning-based on Uncertainty Quantification to Breast Segmentation in MRI.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Distributed Privacy-Preserving Data Analysis in NFDI4Health With the Personal Health Train.
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Proceedings of the 1st Conference on Research Data Infrastructure - Connecting Communities, 2023
Abstract: Liver Tumor Segmentation in Late-phase MRI using Multi-model Training and an Anisotropic U-Net.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
AI-Based Detection of Aspiration for Video-Endoscopy with Visual Aids in Meaningful Frames to Interpret the Model Outcome.
Sensors, 2022
Quantitative Analysis of Liver Disease Using MRI-Based Radiomic Features of the Liver and Spleen.
J. Imaging, 2022
Reconstruction of dental roots for implant planning purposes: a feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2022
Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow.
IEEE Access, 2022
Improving deep learning based liver vessel segmentation using automated connectivity analysis.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Confidence Histograms for Model Reliability Analysis and Temperature Calibration.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Hepatic artery segmentation with 3D convolutional neural networks.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Robust Liver Segmentation with Deep Learning Across DCE-MRI Contrast Phases.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI.
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Comput. Methods Programs Biomed., 2021
MRI-based radiomic feature analysis of end-stage liver disease for severity stratification.
Int. J. Comput. Assist. Radiol. Surg., 2021
Extraction of Kidney Anatomy Based on a 3D U-ResNet with Overlap-Tile Strategy.
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Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021
Automatic segmentation of the pulmonary lobes with a 3D u-net and optimized loss function.
CoRR, 2020
Feasibility of end-to-end trainable two-stage U-Net for detection of axillary lymph nodes in contrast-enhanced CT based on sparse annotations.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor.
CoRR, 2019
Neural-network-based automatic segmentation of cerebral ultrasound images for improving image-guided neurosurgery.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Comparison of U-net-based Convolutional Neural Networks for Liver Segmentation in CT.
CoRR, 2018
Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering.
CoRR, 2017
Accurate CT-MR image registration for deep brain stimulation: a multi-observer evaluation study.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Segmentation-Based Partial Volume Correction for Volume Estimation of Solid Lesions in CT.
IEEE Trans. Medical Imaging, 2014
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study.
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Medical Image Anal., 2014
How to define a locally adaptive sampling criterion for topologically correct reconstruction of multiple regions.
Pattern Recognit. Lett., 2012
The GeoMap representation: on topologically correct sub-pixel image analysis.
PhD thesis, 2009
A topological sampling theorem for Robust boundary reconstruction and image segmentation.
Discret. Appl. Math., 2009
Annotated Contraction Kernels for Interactive Image Segmentation.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2009
Pixel Approximation Errors in Common Watershed Algorithms.
Proceedings of the Discrete Geometry for Computer Imagery, 2009
A New Sub-pixel Map for Image Analysis.
Proceedings of the Combinatorial Image Analysis, 11th International Workshop, 2006
Topologically Correct Image Segmentation Using Alpha Shapes.
Proceedings of the Discrete Geometry for Computer Imagery, 13th International Conference, 2006
Provably Correct Edgel Linking and Subpixel Boundary Reconstruction.
Proceedings of the Pattern Recognition, 2006
The GeoMap: A Unified Representation for Topology and Geometry.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2005
Fast and Accurate Interactive Image Segmentation in the GEOMAP Framework.
Proceedings of the Bildverarbeitung für die Medizin 2004, Algorithmen - Systeme, 2004