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Attention-augmented U-Net (AA-U-Net) for semantic segmentation.

, , , , and . Signal Image Video Process., 17 (4): 981-989 (June 2023)

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Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning., , , , , , , , , and 37 other author(s). CoRR, (2021)Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints., , and . Sensors, 22 (3): 1107 (2022)Deep Groupwise Registration of MRI Using Deforming Autoencoders., and . Bildverarbeitung für die Medizin, page 236-241. Springer, (2020)Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation., , and . J. Biomed. Informatics, (2021)Learn to Fuse Input Features for Large-Deformation Registration with Differentiable Convex-Discrete Optimisation., and . WBIR, volume 13386 of Lecture Notes in Computer Science, page 119-123. Springer, (2022)Weak Bounding Box Supervision for Image Registration Networks., , , , and . WBIR, volume 13386 of Lecture Notes in Computer Science, page 215-219. Springer, (2022)Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021., , and . MIDOG/MOOD/Learn2Reg@MICCAI, volume 13166 of Lecture Notes in Computer Science, page 174-179. Springer, (2021)Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning., , , , , , , , , and 43 other author(s). IEEE Trans. Medical Imaging, 42 (3): 697-712 (March 2023)Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students., , and . CoRR, (2022)DA-AR-Net: an attentive activation based Deformable auto-encoder for group-wise registration., , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)