theory in computational anatomy (CA) is performed relative to templates, therefore it is a local theory of statistics on shape. Template estimation in computational...

Computational anatomy (CA) is a discipline within medical imaging focusing on the study of anatomical shape and form at the visible or gross anatomical...

frame-based kernel StationaryLDDMM MRICloud Bayesian estimation of templates in computational anatomy Computational neuroanatomy Geometric data analysis Large...

descriptions of redirect targets Bayesian, a superyacht sunk off Palermo in 2024 Approximate Bayesian computation – Computational method in Bayesian statistics...

the computational complexity of these algorithms are dependent on the number of propositions (classes), and can lead to a much higher computation time...

§ Statistical shape theory in computational anatomy Computational anatomy Bayesian estimation of templates in computational anatomy Nucleic acid structure...

analysis Computational anatomy Large Deformation Diffeomorphic Metric Mapping Bayesian Estimation of Templates in Computational Anatomy Bayesian model of computational...

study of imagery, shape and form in the discipline of computational anatomy (CA) in medical imaging. The study of images in computational anatomy rely...

In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a computational model inspired by the structure...

computing. In medicine, there are two major computational goals in diffusion MRI: Estimation of local tissue properties, such as diffusivity; Estimation of local...

our data. The aim of matched filtering is to see if the data contains any signals similar to a template bank member. Since our templates should describe...

order-constrained estimation of cumulative distribution functions using his sieve estimator). In recent decades, Grenander contributed to computational statistics...

methods, allowing for improved quantification of the radioactivity distribution. Research has shown that Bayesian methods that involve a Poisson likelihood...

computationally expensive to calculate. Extension to multi-class labeling degrades performance and increases storage required. Reliable estimation of...

accuracy of the fit. A Bayesian probability analysis then gives the probability that the object is present based on the actual number of matching features...

theories and computational models for time perception mechanisms in the brain. William J. Friedman (1993) contrasted two theories of the sense of time: Gillatt...

Johnson PL, Orlando L (July 2013). "mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters". Bioinformatics. 29 (13): 1682–1684...

number of detections) and the limited computational resources available to carry out the search with all the templates. How to generate such template banks...

Oscar (16 January 2019). "Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania". Nature Communications...