ArticlePhysics in medicine and biology2021
GroupRegNet: a groupwise one-shot deep learning-based 4D image registration method.
Article in Physics in medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- W-STFNet: A Wavelet Transform-Based Regularized Hybrid Recursive Spatiotemporal Fusion Registration Network.Annals of biomedical engineering · 2026Article
- One-for-All Adaptive Radiotherapy Planning Agent: A Foundation Framework for Daily CBCT-guided Radiotherapy.ArXiv · 2026Article
- Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI.Magnetic resonance in medicine · 2026Article
- Artificial intelligence in four-dimensional imaging for motion management in radiation therapy.Artificial intelligence review · 2025Article
- A groupwise multiresolution network for DCE-MRI image registration.Scientific reports · 2025Article
- A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond.Medical image analysis · 2025Review
- Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer.Medical physics · 2025Article
- A vessel bifurcation liver CT landmark pair dataset for evaluating deformable image registration algorithms.Medical physics · 2025Article
- Fast motion-compensated reconstruction for 4D-CBCT using deep learning-based groupwise registration.Biomedical physics & engineering express · 2024Article
- Deformable lung 4DCT image registration via landmark-driven cycle network.Medical physics · 2024Article
- Deep Learning for Medical Image-Based Cancer Diagnosis.Cancers · 2023Review
- Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency.Physics in medicine and biology · 2022Review
- Few-shot learning for deformable image registration in 4DCT images.The British journal of radiology · 2022Article
- End-to-End Deep Learning of Non-rigid Groupwise Registration and Reconstruction of Dynamic MRI.Frontiers in cardiovascular medicine · 2022Article
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Authors and funding
5 authors.
Funding
Abstract
Accurate deformable four-dimensional (4D) (three-dimensional in space and time) medical images registration is essential in a variety of medical applications. Deep learning-based methods have recently gained popularity in this area for the significantly lower inference time. However, they suffer from drawbacks of non-optimal accuracy and the requirement of a large amount of training data. A new method named GroupRegNet is proposed to address both limitations. The deformation fields to warp all images in the group into a common template is obtained through one-shot learning. The use of the implicit template reduces bias and accumulated error associated with the specified reference image. The one-shot learning strategy is similar to the conventional iterative optimization method but the motion model and parameters are replaced with a convolutional neural network and the weights of the network. GroupRegNet also features a simpler network design and a more straightforward registration process, which eliminates the need to break up the input image into patches. The proposed method was quantitatively evaluated on two public respiratory-binned 4D-computed tomography datasets. The results suggest that GroupRegNet outperforms the latest published deep learning-based methods and is comparable to the top conventional method pTVreg. To facilitate future research, the source code is available at https://github.com/vincentme/GroupRegNet.
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