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HyperMorph: Amortized Hyperparameter Learning for Image Registration

HyperMorph: Amortized Hyperparameter Learning for Image Registration

4 January 2021
Andrew Hoopes
Malte Hoffmann
Bruce Fischl
John Guttag
Adrian V. Dalca
ArXivPDFHTML

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

15 / 15 papers shown
Title
FF-PNet: A Pyramid Network Based on Feature and Field for Brain Image Registration
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
43
0
0
08 May 2025
Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types
Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types
Muhammad Umair Danish
Katarina Grolinger
AI4TS
71
3
0
07 Feb 2025
multiGradICON: A Foundation Model for Multimodal Medical Image Registration
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
40
7
0
01 Aug 2024
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration
Leonard Siegert
Paul Fischer
Mattias P. Heinrich
Christian F. Baumgartner
41
1
0
15 Jul 2024
Data-Driven Tissue- and Subject-Specific Elastic Regularization for
  Medical Image Registration
Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration
Anna Reithmeir
Lina Felsner
R. Braren
Julia A. Schnabel
Veronika A. Zimmer
27
0
0
05 Jul 2024
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
28
36
0
28 Jul 2023
Fourier-Net+: Leveraging Band-Limited Representation for Efficient 3D
  Medical Image Registration
Fourier-Net+: Leveraging Band-Limited Representation for Efficient 3D Medical Image Registration
Xinlei Jia
A. Thorley
A. Gómez
Wenqi Lu
D. Kotecha
Jinming Duan
21
5
0
06 Jul 2023
Spatially-varying Regularization with Conditional Transformer for
  Unsupervised Image Registration
Spatially-varying Regularization with Conditional Transformer for Unsupervised Image Registration
Junyu Chen
Yihao Liu
Yufan He
Yong Du
ViT
MedIm
21
4
0
10 Mar 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and
  Anatomy-specific Representation for 3D Medical Images
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images
K. Yu
Li Sun
Junxiang Chen
Maxwell Reynolds
Tigmanshu Chaudhary
Kayhan Batmanghelich
17
1
0
21 Feb 2023
Learning the Effect of Registration Hyperparameters with HyperMorph
Learning the Effect of Registration Hyperparameters with HyperMorph
Andrew Hoopes
Malte Hoffmann
Douglas N. Greve
Bruce Fischl
John Guttag
Adrian V. Dalca
11
38
0
30 Mar 2022
Carbon Footprint of Selecting and Training Deep Learning Models for
  Medical Image Analysis
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis
Raghavendra Selvan
N. Bhagwat
Lasse F. Wolff Anthony
Benjamin Kanding
Erik Dam
28
24
0
04 Mar 2022
Towards Positive Jacobian: Learn to Postprocess Diffeomorphic Image
  Registration with Matrix Exponential
Towards Positive Jacobian: Learn to Postprocess Diffeomorphic Image Registration with Matrix Exponential
Soumyadeep Pal
Matthew Tennant
Nilanjan Ray
MedIm
11
2
0
01 Feb 2022
Learn2Reg: comprehensive multi-task medical image registration
  challenge, dataset and evaluation in the era of deep learning
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Alessa Hering
Lasse Hansen
Tony C. W. Mok
Albert C. S. Chung
H. Siebert
...
K. Murphy
Nikolas Lessmann
Bram van Ginneken
Adrian V. Dalca
M. Heinrich
18
180
0
08 Dec 2021
Hyper-Convolution Networks for Biomedical Image Segmentation
Hyper-Convolution Networks for Biomedical Image Segmentation
Tianyu Ma
Adrian V. Dalca
M. Sabuncu
SSeg
31
14
0
21 May 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
99
714
0
13 Jun 2018
1