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HyperMorph: Amortized Hyperparameter Learning for Image Registration

4 January 2021

Papers citing "HyperMorph: Amortized Hyperparameter Learning for Image Registration"

23 / 23 papers shown

Title
FF-PNet: A Pyramid Network Based on Feature and Field for Brain Image Registration Ying Zhang Shuai Guo Chenxi Sun Yuchen Zhu Jinhai Xiang MedIm 197 0 0 08 May 2025
Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types Muhammad Umair Danish Katarina Grolinger AI4TS 129 3 0 07 Feb 2025
multiGradICON: A Foundation Model for Multimodal Medical Image Registration Basar Demir Lin Tian Hastings Greer Roland Kwitt François-Xavier Vialard R. Estépar Sylvain Bouix Richard Jarrett Rushmore Ebrahim Ebrahim Marc Niethammer OOD MedIm 100 10 0 01 Aug 2024
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 78 164 0 07 Mar 2019
Hypernetwork functional image representation Sylwester Klocek Lukasz Maziarka Maciej Wołczyk Jacek Tabor Jakub Nowak Marek Śmieja SupR 3DH 98 92 0 27 Feb 2019
Learning a Probabilistic Model for Diffeomorphic Registration Julian Krebs H. Delingette B. Mailhé N. Ayache Tommaso Mansi DiffM MedIm 63 195 0 18 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 69 685 0 17 Sep 2018
VoxelMorph: A Learning Framework for Deformable Medical Image Registration Guha Balakrishnan Amy Zhao M. Sabuncu John Guttag Adrian Dalca MedIm 119 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 107 382 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
SMASH: One-Shot Model Architecture Search through HyperNetworks Andrew Brock Theodore Lim J. Ritchie Nick Weston 158 764 0 17 Aug 2017
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach Xiao Yang Roland Kwitt Martin Styner Marc Niethammer 67 596 0 31 Mar 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 66 221 0 18 Mar 2017
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 166 1,632 0 27 Sep 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 229 2,334 0 21 Mar 2016
Hyperparameter optimization with approximate gradient Fabian Pedregosa 122 450 0 07 Feb 2016
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters Jelena Luketina Mathias Berglund Klaus Greff T. Raiko 63 174 0 20 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,378 0 18 May 2015
Non-stochastic Best Arm Identification and Hyperparameter Optimization Kevin Jamieson Ameet Talwalkar 210 580 0 27 Feb 2015
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 227 946 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014