Medical Imaging | Radiology Predictive uncertainty in deep learning-based MR image reconstruction using deep ensembles: Evaluation on the fastMRI data set. January 29, 2024
Radiology Deep learning-based age estimation from clinical Computed Tomography image data of the thorax and abdomen in the adult population. November 7, 2023
Radiology Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations. January 14, 2023
Oncology | Radiology A whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions. October 4, 2022
Nuclear Medicine | Oncology | Radiology Weakly supervised segmentation of tumor lesions in PET-CT hybrid imaging. October 18, 2021
Orthopedics | Radiology Automated Morphometric Analysis of the Hip Joint on MRI from the German National Cohort Study. October 7, 2021
Neurology | Radiology Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study. August 15, 2021
Epidemiology | Metabolic Diseases | Radiology Fully Automated and Standardized Segmentation of Adipose Tissue Compartments via Deep Learning in 3D Whole-Body MRI of Epidemiologic Cohort Studies. May 3, 2021
Radiology Deep Learning-Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies. April 30, 2021
Radiology Can a Novel Deep Neural Network Improve the Computer-Aided Detection of Solid Pulmonary Nodules and the Rate of False-Positive Findings in Comparison to an Established Machine Learning Computer-Aided Detection? August 15, 2020
Nuclear Medicine | Radiology Independent attenuation correction of whole body [F]FDG-PET using a deep learning approach with Generative Adversarial Networks. May 25, 2020
Radiology Fully Automated Segmentation and Shape Analysis of the Thoracic Aorta in Non-contrast-enhanced Magnetic Resonance Images of the German National Cohort Study. April 29, 2020