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A Closest Point Proposal for MCMC-based Probabilistic Surface
  Registration

A Closest Point Proposal for MCMC-based Probabilistic Surface Registration

2 July 2019
Dennis Madsen
Andreas Morel-Forster
Patrick Kahr
Dana Rahbani
T. Vetter
M. Lüthi
    3DPC
ArXivPDFHTML

Papers citing "A Closest Point Proposal for MCMC-based Probabilistic Surface Registration"

5 / 5 papers shown
Title
A survey on deep learning in medical image registration: new
  technologies, uncertainty, evaluation metrics, and beyond
A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond
Junyu Chen
Yihao Liu
Shuwen Wei
Zhangxing Bian
Shalini Subramanian
A. Carass
Jerry L. Prince
Yong Du
OOD
48
36
0
28 Jul 2023
A Review of Uncertainty Estimation and its Application in Medical
  Imaging
A Review of Uncertainty Estimation and its Application in Medical Imaging
K. Zou
Zhihao Chen
Xuedong Yuan
Xiaojing Shen
Meng Wang
Huazhu Fu
UQCV
54
87
0
16 Feb 2023
Approximating Intersections and Differences Between Linear Statistical
  Shape Models Using Markov Chain Monte Carlo
Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo
Maximilian Weiherer
Finn Klein
Bernhard Egger
25
2
0
29 Nov 2022
Dynamic multi-object Gaussian process models: A framework for
  data-driven functional modelling of human joints
Dynamic multi-object Gaussian process models: A framework for data-driven functional modelling of human joints
Jean-Rassaire Fouefack
Bhushan S Borotikar
T. Douglas
Valérie Burdin
Tinashe Ernest Mutsvangwa
17
9
0
22 Jan 2020
3D-CODED : 3D Correspondences by Deep Deformation
3D-CODED : 3D Correspondences by Deep Deformation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC
3DV
132
325
0
13 Jun 2018
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