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PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation., , , , , , , and . CoRR, (2023)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)Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning., , , , , and . CoRR, (2020)StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder., , , , , , , , , and . Comput. Biol. Medicine, (2022)Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images., , , , , , and . CoRR, (2022)Graph Model to Represent Color Closeness in Pseudo-color Multimodal MRI., , , , , , and . CBMS, page 456-462. IEEE, (2023)ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning., , , , , , , , , and . EUSIPCO, page 940-944. IEEE, (2021)Star-Net: a Multi-Branch Convolutional Network for Multiple Source Image Segmentation., , , , , and . SITIS, page 127-134. IEEE, (2022)