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Iterative Method to Register Longitudinal MRI Acquisitions in Neurosurgical Context
Springer Verlag | 2023| -
Iterative Method to Register Longitudinal MRI Acquisitions in Neurosurgical Context
British Library Conference Proceedings | 2023| -
CNN-based Whole Breast Segmentation in Longitudinal High-risk MRI Study
Initial Findings on Quality vs. Quantity of Training AnnotationsSpringer Verlag | 2023| -
Transport Properties and Magnetoresistance of Cluster-Assembled Fe-Ge and Fe-Ag Nanocomposites
Free accessTIBKAT | 2023|Contributors: Hahn, Horst K. -
Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow
Free accessIEEE | 2022| -
Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow
Free accessArXiv | 2021| -
Feasibility of end-to-end trainable two-stage U-Net for detection of axillary lymph nodes in contrast-enhanced CT based on sparse annotations
British Library Conference Proceedings | 2020| -
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI
Free accessArXiv | 2020| -
Digital histopathology : Image processing for histological analyses and immune response quantification
DataCite | 2020|Contributors: Hahn, Horst K. -
Medical Imaging 2020: Computer-Aided Diagnosis : 16-19 February 2020, Houston, Texas, United States
TIBKAT | 2020|Contributors: Hahn, Horst K. -
Uncertainty-aware visual analysis of radiofrequency ablation simulations
British Library Online Contents | 2019| -
Artifact-driven sampling schemes for robust female pelvis CBCT segmentation using deep learning
British Library Conference Proceedings | 2019| -
Data Pooling and Sampling of Heterogeneous Image Data for White Matter Hyperintensity Segmentation
British Library Conference Proceedings | 2019|
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