Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms
© 2017 Elsevier B.V. We present an efficient probabilistic model of anatomical variability in a linear space of initial velocities of diffeomorphic transformations and demonstrate its benefits in clinical studies of brain anatomy. To overcome the computational challenges of the high dimensional defo...
Main Authors: | Zhang, Miaomiao, Wells, William M, Golland, Polina |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Elsevier BV
2021
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Online Access: | https://hdl.handle.net/1721.1/135723 |
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