Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo

25 October 2021

Papers citing "Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo"

7 / 7 papers shown

Title
Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks M. Heinrich MedIm 30 84 0 25 Jul 2019
Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration Lihao Liu Xiaowei Hu Lei Zhu Pheng-Ann Heng 3DPC 3DV MedIm 37 34 0 03 Jul 2019
Region-specific Diffeomorphic Metric Mapping Zhengyang Shen Franccois-Xavier Vialard Marc Niethammer 56 47 0 01 Jun 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 58 210 0 22 Apr 2019
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces Adrian Dalca Guha Balakrishnan John Guttag M. Sabuncu MedIm DiffM 58 366 0 08 Mar 2019
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning Ruqi Zhang Chunyuan Li Jianyi Zhang Changyou Chen A. Wilson BDL 64 275 0 11 Feb 2019
Stochastic Gradient Descent as Approximate Bayesian Inference Stephan Mandt Matthew D. Hoffman David M. Blei BDL 44 594 0 13 Apr 2017