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MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection.

, , , , , , , , and . NeuroImage, (2016)

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Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0-2 years., , , , and . NeuroImage, (2020)MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection., , , , , , , , and . NeuroImage, (2016)Global-Local Transformer for Brain Age Estimation., , and . CoRR, (2021)eCurves: A Temporal Shape Encoding., , , , , , , , and . IEEE Trans. Biomed. Eng., 65 (4): 733-744 (2018)Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration., , , and . WBIR, volume 7359 of Lecture Notes in Computer Science, page 209-219. Springer, (2012)Temporal Shape Analysis via the Spectral Signature., , , , , and . MICCAI (2), volume 7511 of Lecture Notes in Computer Science, page 49-56. Springer, (2012)Sampling the spatial patterns of cancer: Optimized biopsy procedures for estimating prostate cancer volume and Gleason Score., , , , , and . Medical Image Anal., 13 (4): 609-620 (2009)Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16, 705 healthy MRIs across lifespan., , , , , , , , , and . Medical Image Anal., (2021)U-Netmer: U-Net meets Transformer for medical image segmentation., , , and . CoRR, (2023)Comparative Evaluation of Registration Algorithms in Different Brain Databases With Varying Difficulty: Results and Insights., , , , and . IEEE Trans. Med. Imaging, 33 (10): 2039-2065 (2014)