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Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation., , , and . CoRR, (2020)PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation., , , , , , , and . CoRR, (2023)ReconResNet: Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial data., , , , , , and . Comput. Biol. Medicine, (2022)Classification of Brain Tumours in MR Images using Deep Spatiospatial Models., , , and . CoRR, (2021)DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data., , , , , , , , , and . J. Imaging, 8 (10): 259 (2022)StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder., , , , , , , , , and . Comput. Biol. Medicine, (2022)Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction., , , , and . Neural Networks, (September 2023)Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique., , , , , , , , , and 2 other author(s). CoRR, (2023)Unboxing the Black-Box of Deep Learning Based Reconstruction of Undersampled MRIss., , , and . XAI.it@AI*IA, volume 3518 of CEUR Workshop Proceedings, page 15-28. CEUR-WS.org, (2023)Breathing deformation model - application to multi-resolution abdominal MRI., , , , , and . EMBC, page 2769-2772. IEEE, (2019)