Fabian Bamberg
According to our database1,
Fabian Bamberg
authored at least 27 papers
between 2013 and 2024.
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Bibliography
2024
TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images.
CoRR, 2024
2023
Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study.
BMC Medical Imaging, December, 2023
Int. J. Comput. Assist. Radiol. Surg., May, 2023
2022
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation.
CoRR, 2022
Automated segmentation of head CT scans for computer-assisted craniomaxillofacial surgery applying a hierarchical patch-based stack of convolutional neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2022
AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies.
BMC Medical Imaging, 2022
2021
An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling.
CoRR, 2021
Predicting brain-age from raw T1-weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks.
CoRR, 2021
Evaluation of computed tomography settings in the context of visualization and discrimination of low dose injections of a novel liquid soft tissue fiducial marker in head and neck imaging.
BMC Medical Imaging, 2021
2020
Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies.
CoRR, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
2019
Simultaneous Volumetric Segmentation of Vertebral Bodies and Intervertebral Discs on Fat-Water MR Images.
IEEE J. Biomed. Health Informatics, 2019
Reduced scan range abdominopelvic CT in patients with suspected acute appendicitis - impact on diagnostic accuracy and effective radiation dose.
BMC Medical Imaging, 2019
Spatial and Hierarchical Riemannian Dimensionality Reduction and Dictionary Learning for Segmenting Multichannel Images.
Proceedings of the 27th European Signal Processing Conference, 2019
Volumetric Surface-guided Graph-based Segmentation of Cardiac Adipose Tissues on Fat-Water MR Images.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
CoRR, 2018
Int. J. Comput. Assist. Radiol. Surg., 2018
Proceedings of the Signal Processing: Algorithms, 2018
Proceedings of the Shape in Medical Imaging, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
A Hierarchical Ensemble Classifier for Multilabel Segmentation of Fat-Water MR Images.
Proceedings of the 26th European Signal Processing Conference, 2018
Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
2017
Accurate robust nonlinear surface registration with simultaneous point cloud and triangular mesh representation.
Proceedings of the Signal Processing: Algorithms, 2017
Proceedings of the Signal Processing: Algorithms, 2017
Automatic atlas-guided constrained random Walker algorithm for 3D segmentation of muscles on water magnetic resonance images.
Proceedings of the 25th European Signal Processing Conference, 2017
2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013