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Brain Age Estimation Using LSTM on Children's Brain MRI., , , , , , , , and . ISBI, page 1-4. IEEE, (2020)Unsupervised Learning in Radiology Using Novel Latent Variable Models., , , and . CVPR (2), page 854-859. IEEE Computer Society, (2005)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)A Fully Bayesian Inference Framework for Population Studies of the Brain Microstructure., , , , and . MICCAI (1), volume 8673 of Lecture Notes in Computer Science, page 25-32. Springer, (2014)Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation., , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 260-272. PMLR, (2019)Decoupling Axial and Radial Tissue Heterogeneity in Diffusion Compartment Imaging., , , , , , and . IPMI, volume 10265 of Lecture Notes in Computer Science, page 440-452. Springer, (2017)The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)., , , , , , , , , and 66 other author(s). CoRR, (2024)Accelerated High Spatial Resolution Diffusion-Weighted Imaging., , , , , and . IPMI, volume 9123 of Lecture Notes in Computer Science, page 69-81. Springer, (2015)Interpolating multi-fiber models by Gaussian mixture simplification., , , , , and . ISBI, page 928-931. IEEE, (2012)Characterizing the DIstribution of Anisotropic MicrO-structural eNvironments with Diffusion-Weighted Imaging (DIAMOND)., , , , , , and . MICCAI (3), volume 8151 of Lecture Notes in Computer Science, page 518-526. Springer, (2013)