[HTML][HTML] Fetal brain growth portrayed by a spatiotemporal diffusion tensor MRI atlas computed from in utero images
Altered structural fetal brain development has been linked to neuro-developmental
disorders. These structural alterations can be potentially detected in utero using diffusion …
disorders. These structural alterations can be potentially detected in utero using diffusion …
A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth
Longitudinal characterization of early brain growth in-utero has been limited by a number of
challenges in fetal imaging, the rapid change in size, shape and volume of the develo** …
challenges in fetal imaging, the rapid change in size, shape and volume of the develo** …
Beyond euclid: An illustrated guide to modern machine learning with geometric, topological, and algebraic structures
S Sanborn, J Mathe, M Papillon, D Buracas… - ar** brain using adaptive kernel regression
Medical imaging has shown that, during early development, the brain undergoes more
changes in size, shape and appearance than at any other time in life. A better understanding …
changes in size, shape and appearance than at any other time in life. A better understanding …
Learning conditional deformable templates with convolutional networks
We develop a learning framework for building deformable templates, which play a
fundamental role in many image analysis and computational anatomy tasks. Conventional …
fundamental role in many image analysis and computational anatomy tasks. Conventional …
Fréchet regression for random objects with Euclidean predictors
Increasingly, statisticians are faced with the task of analyzing complex data that are non-
Euclidean and specifically do not lie in a vector space. To address the need for statistical …
Euclidean and specifically do not lie in a vector space. To address the need for statistical …
A dynamic 4D probabilistic atlas of the develo** brain
Probabilistic atlases are widely used in the neuroscience community as a tool for providing a
standard space for comparison of subjects and as tissue priors used to enhance the intensity …
standard space for comparison of subjects and as tissue priors used to enhance the intensity …
Wasserstein regression
The analysis of samples of random objects that do not lie in a vector space is gaining
increasing attention in statistics. An important class of such object data is univariate …
increasing attention in statistics. An important class of such object data is univariate …