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MIDAS: Regionally linear multivariate discriminative statistical mapping., , and . NeuroImage, (2018)Deformable Medical Image Registration: A Survey., , and . IEEE Trans. Med. Imaging, 32 (7): 1153-1190 (2013)A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation., , , and . Int. J. Comput. Vis., 121 (1): 169-181 (2017)The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients., , , , , , , , , and 7 other author(s). CoRR, (2021)Atlas-Based Deformable Mutual Population Segmentation., , , and . ISBI, page 5-8. IEEE, (2009)Discrete Multi Atlas Segmentation using Agreement Constraints., , and . BMVC, BMVA Press, (2014)BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images., , , , , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging., , , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 540-548. Springer, (2018)HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework., , and . NeuroImage, (2017)NormVAE: Normative Modeling on Neuroimaging Data using Variational Autoencoders., and . CoRR, (2021)