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Introduction to Medical Image Registration with DeepReg, Between Old and New
This document outlines a tutorial to get started with medical image regi...
08/29/2020 ∙ by N. Montana Brown, et al. ∙
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Deep learning based registration using spatial gradients and noisy segmentation labels
Image registration is one of the most challenging problems in medical im...
10/21/2020 ∙ by Théo Estienne, et al. ∙
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Deep Learning in Medical Image Registration: A Survey
The establishment of image correspondence through robust image registrat...
03/05/2019 ∙ by Grant Haskins, et al. ∙
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THAP: A Matlab Toolkit for Learning with Hawkes Processes
As a powerful tool of asynchronous event sequence analysis, point proces...
08/28/2017 ∙ by Hongteng Xu, et al. ∙
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TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
We present TorchIO, an open-source Python library for efficient loading,...
03/09/2020 ∙ by Fernando Pérez-García, et al. ∙
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Medical Image Registration Using Deep Neural Networks: A Comprehensive Review
Image-guided interventions are saving the lives of a large number of pat...
02/09/2020 ∙ by Hamid Reza Boveiri, et al. ∙
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AirLab: Autograd Image Registration Laboratory
Medical image registration is an active research topic and forms a basis...
06/26/2018 ∙ by Robin Sandkühler, et al. ∙
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DeepReg: a deep learning toolkit for medical image registration
11/04/2020 ∙ by Yunguan Fu, et al. ∙
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DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported open-source toolkit for research and education in medical image registration using deep learning.
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