Learning the Effect of Registration Hyperparameters with HyperMorph

30 March 2022

Papers citing "Learning the Effect of Registration Hyperparameters with HyperMorph"

29 / 29 papers shown

Title
Learning Transferable Features for Implicit Neural Representations Kushal Vyas Ahmed Imtiaz Humayun Aniket Dashpute Richard G. Baraniuk Ashok Veeraraghavan Guha Balakrishnan OOD 189 4 0 15 Sep 2024
Principled Weight Initialization for Hypernetworks Oscar Chang Lampros Flokas Hod Lipson 79 77 0 13 Dec 2023
HyperMorph: Amortized Hyperparameter Learning for Image Registration Andrew Hoopes Malte Hoffmann Bruce Fischl John Guttag Adrian Dalca 128 131 0 04 Jan 2021
Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks Tony C. W. Mok Albert C. S. Chung MedIm 79 263 0 29 Jun 2020
Hypernetwork approach to generating point clouds Przemysław Spurek Sebastian Winczowski Jacek Tabor M. Zamorski Maciej Ziȩba Tomasz Trzciñski 3DPC 93 34 0 10 Feb 2020
Learning Conditional Deformable Templates with Convolutional Networks Adrian Dalca Marianne Rakic John Guttag M. Sabuncu MedIm 37 116 0 07 Aug 2019
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains Elliot Meyerson Risto Miikkulainen OOD 67 31 0 31 May 2019
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation Adrian Dalca Evan M. Yu Polina Golland Bruce Fischl M. Sabuncu Juan Eugenio Iglesias OOD 60 66 0 25 Apr 2019
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning Zechun Liu Haoyuan Mu Xiangyu Zhang Zichao Guo Xin Yang K. Cheng Jian Sun 85 563 0 25 Mar 2019
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces Adrian Dalca Guha Balakrishnan John Guttag M. Sabuncu MedIm DiffM 96 372 0 08 Mar 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions M. Mackay Paul Vicol Jonathan Lorraine David Duvenaud Roger C. Grosse 89 164 0 07 Mar 2019
Hypernetwork functional image representation Sylwester Klocek Lukasz Maziarka Maciej Wołczyk Jacek Tabor Jakub Nowak Marek Śmieja SupR 3DH 112 92 0 27 Feb 2019
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking Alessa Hering Sven Kuckertz Stefan Heldmann M. Heinrich 85 47 0 05 Dec 2018
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration B. D. de Vos F. Berendsen M. Viergever Hessam Sokooti Marius Staring Ivana Isgum MedIm 69 687 0 17 Sep 2018
VoxelMorph: A Learning Framework for Deformable Medical Image Registration Guha Balakrishnan Amy Zhao M. Sabuncu John Guttag Adrian Dalca MedIm 121 1,578 0 14 Sep 2018
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration Yipeng Hu Marc Modat Eli Gibson Wenqi Li N. Ghavami ... M. Emberton Sébastien Ourselin J. A. Noble D. Barratt Tom Vercauteren 112 382 0 09 Jul 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 179 732 0 13 Jun 2018
Stochastic Hyperparameter Optimization through Hypernetworks Jonathan Lorraine David Duvenaud 74 140 0 26 Feb 2018
Bayesian Hypernetworks David M. Krueger Chin-Wei Huang Riashat Islam Ryan Turner Alexandre Lacoste Aaron Courville UQCV BDL 80 139 0 13 Oct 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks Andrew Brock Theodore Lim J. Ritchie Nick Weston 164 765 0 17 Aug 2017
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach Xiao Yang Roland Kwitt Martin Styner Marc Niethammer 73 597 0 31 Mar 2017
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 311 1,166 0 24 Oct 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 240 2,336 0 21 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 291 11,150 0 14 Mar 2016
Hyperparameter optimization with approximate gradient Fabian Pedregosa 130 450 0 07 Feb 2016
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters Jelena Luketina Mathias Berglund Klaus Greff T. Raiko 70 174 0 20 Nov 2015
Non-stochastic Best Arm Identification and Hyperparameter Optimization Kevin Jamieson Ameet Talwalkar 215 580 0 27 Feb 2015
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 236 946 0 11 Feb 2015
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 382 7,965 0 13 Jun 2012