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Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites., , , , , , , , , and 1 other author(s). OR/MLCN@MICCAI, volume 11796 of Lecture Notes in Computer Science, page 103-111. Springer, (2019)StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder., , , , , , , , , and . Comput. Biol. Medicine, (2022)Spinal Metastases Segmentation in MR Imaging using Deep Convolutional Neural Networks., , , , , and . CoRR, (2020)Segmentation of Vertebral Metastases in MRI Using an U-Net like Convolutional Neural Network., , , , , and . Bildverarbeitung für die Medizin, page 31-36. Springer Vieweg, (2019)Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images., , , , , , and . CoRR, (2022)ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning., , , , , , , , , and . EUSIPCO, page 940-944. IEEE, (2021)Automated Segmentation of the Locus Coeruleus from Neuromelanin-Sensitive 3T MRI Using Deep Convolutional Neural Networks., , , , and . Bildverarbeitung für die Medizin, page 61-66. Springer, (2020)Localization of the Locus Coeruleus in MRI via Coordinate Regression., , , and . Bildverarbeitung für die Medizin, page 10-15. Springer, (2021)Deep Coordinate Regression for Weakly Supervised Segmentation of the Locus Coeruleus in MRI., , , , , , and . CBMS, page 441-445. IEEE, (2023)Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning., , , , , and . CoRR, (2020)