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A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond
Deep learning technologies have dramatically reshaped the field of medical image
registration over the past decade. The initial developments, such as regression-based and U …
registration over the past decade. The initial developments, such as regression-based and U …
The impact of machine learning on 2d/3d registration for image-guided interventions: A systematic review and perspective
Image-based navigation is widely considered the next frontier of minimally invasive surgery.
It is believed that image-based navigation will increase the access to reproducible, safe, and …
It is believed that image-based navigation will increase the access to reproducible, safe, and …
Review and recommendations on deformable image registration uncertainties for radiotherapy applications
Deformable image registration (DIR) is a versatile tool used in many applications in
radiotherapy (RT). DIR algorithms have been implemented in many commercial treatment …
radiotherapy (RT). DIR algorithms have been implemented in many commercial treatment …
[PDF][PDF] A survey on uncertainty quantification methods for deep neural networks: An uncertainty source perspective
A Survey on Uncertainty Quantification Methods for Deep Neural Networks: An Uncertainty
Source's Perspective Page 1 A Survey on Uncertainty Quantification Methods for Deep Neural …
Source's Perspective Page 1 A Survey on Uncertainty Quantification Methods for Deep Neural …
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In medicine, image registration is vital in image-guided interventions and other clinical
applications. However, it is a difficult subject to be addressed which by the advent of …
applications. However, it is a difficult subject to be addressed which by the advent of …
Automatic early diagnosis of Alzheimer's disease using 3D deep ensemble approach
Alzheimer's disease (AD) is considered the 6 leading cause of death worldwide. Early
diagnosis of AD is not an easy task, and no preventive cures have been discovered yet …
diagnosis of AD is not an easy task, and no preventive cures have been discovered yet …
Is image-to-image translation the panacea for multimodal image registration? A comparative study
Despite current advancement in the field of biomedical image processing, propelled by the
deep learning revolution, multimodal image registration, due to its several challenges, is still …
deep learning revolution, multimodal image registration, due to its several challenges, is still …
A transformer-based hierarchical registration framework for multimodality deformable image registration
Y Zhao, X Chen, B McDonald, C Yu… - … Medical Imaging and …, 2023 - Elsevier
Deformable image registration (DIR) between daily and reference images is fundamentally
important for adaptive radiotherapy. In the last decade, deep learning-based image …
important for adaptive radiotherapy. In the last decade, deep learning-based image …
Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI
Abstract In recent years Motion-Compensated MR reconstruction (MCMR) has emerged as a
promising approach for cardiac MR (CMR) imaging reconstruction. MCMR estimates cardiac …
promising approach for cardiac MR (CMR) imaging reconstruction. MCMR estimates cardiac …