Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations

Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations

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© Springer International Publishing AG 2016. Using image-based descriptors to investigate clinical hypotheses and therapeutic implications is challenging due to the notorious “curse of dimensionality” coupled with a small sample size. In this paper,we present a low-dimensional analysis of anatomical...

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Bibliographic Details
Main Authors: Zhang, Miaomiao, Wells, William M., Golland, Polina
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Springer Nature America, Inc 2021
Online Access:https://hdl.handle.net/1721.1/137565

Internet

https://hdl.handle.net/1721.1/137565

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