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SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning., , , , , and . IEEE Trans. Medical Imaging, 40 (3): 805-817 (2021)Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory., , , , , , , , and . NeuroImage, (2021)Autoencoder based self-supervised test-time adaptation for medical image analysis., , , , and . Medical Image Anal., (2021)Efficient multi-atlas registration using an intermediate template image., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10137 of SPIE Proceedings, page 101371F. SPIE, (2017)Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion., , , , , , and . CoRR, (2023)Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation., , , , , , and . SASHIMI@MICCAI, volume 11037 of Lecture Notes in Computer Science, page 20-30. Springer, (2018)Synthesizing Realistic Brain MR Images with Noise Control., , , , , , and . SASHIMI@MICCAI, volume 12417 of Lecture Notes in Computer Science, page 21-31. Springer, (2020)HACA3: A Unified Approach for Multi-site MR Image Harmonization., , , , , , , , , and 1 other author(s). CoRR, (2022)Multiple Sclerosis brain lesion segmentation with different architecture ensembles., , , , , , , , , and 1 other author(s). Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)Self-Supervised Super-Resolution for Anisotropic MR Images with and Without Slice Gap., , , , , , and . SASHIMI@MICCAI, volume 14288 of Lecture Notes in Computer Science, page 118-128. Springer, (2023)