Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy (Q57511475)

7

object named as

Guido Gerig

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author name string

Manasi Datar

1

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Prasanna Muralidharan

2

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Abhishek Kumar

3

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Sylvain Gouttard

4

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Ross Whitaker

8

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P Thomas Fletcher

Lecture Notes in Computer Science

9

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publication date

October 2012

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language of work or name

English

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published in

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volume

7570

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page(s)

76-87

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cites work

Sasaki metrics for analysis of longitudinal data on manifolds

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Estimation of smooth growth trajectories with controlled acceleration from time series shape data

2 November 2018

1 reference

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Intrinsic regression models for manifold-valued data

2 November 2018

1 reference

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Particle based shape regression of open surfaces with applications to developmental neuroimaging

2 November 2018

1 reference

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Spatiotemporal atlas estimation for developmental delay detection in longitudinal datasets

2 November 2018

1 reference

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Regression models of atlas appearance

2 November 2018

1 reference

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Time sequence diffeomorphic metric mapping and parallel transport track time-dependent shape changes

2 November 2018

1 reference

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Linear mixed models for longitudinal shape data with applications to facial modeling.

2 November 2018

1 reference

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Shape modeling and analysis with entropy-based particle systems

2 November 2018

1 reference

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Growth patterns in the developing brain detected by using continuum mechanical tensor maps

2 November 2018

1 reference

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Random-effects models for longitudinal data

2 November 2018

1 reference

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Mapping the Effects of Aβ 1 − 42 Levels on the Longitudinal Changes in Healthy Aging: Hierarchical Modeling Based on Stationary Velocity Fields

2 November 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/25506622

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1007/978-3-642-33555-6_7

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DBLP publication ID

conf/miccai/DatarMKGPGWF12

1 reference

DBLP Dataset 2021-01-02