Deep learning in medical image registration: a review

Y Fu, Y Lei, T Wang, WJ Curran, T Liu… - Physics in Medicine & …, 2020 - iopscience.iop.org
This paper presents a review of deep learning (DL)-based medical image registration
methods. We summarized the latest developments and applications of DL-based registration …

Medical image registration using deep neural networks: a comprehensive review

HR Boveiri, R Khayami, R Javidan… - Computers & Electrical …, 2020 - Elsevier
Image-guided interventions are saving the lives of a large number of patients where the
image registration should indeed be considered as the most complex and complicated issue …

Deep learning in medical image registration

X Chen, A Diaz-Pinto, N Ravikumar… - Progress in Biomedical …, 2021 - iopscience.iop.org
Image registration is a fundamental task in multiple medical image analysis applications.
With the advent of deep learning, there have been significant advances in algorithmic …

A review of deep learning-based deformable medical image registration

J Zou, B Gao, Y Song, J Qin - Frontiers in Oncology, 2022 - frontiersin.org
The alignment of images through deformable image registration is vital to clinical
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …

Deformable MR-CT image registration using an unsupervised, dual-channel network for neurosurgical guidance

R Han, CK Jones, J Lee, P Wu, P Vagdargi… - Medical image …, 2022 - Elsevier
Purpose The accuracy of minimally invasive, intracranial neurosurgery can be challenged
by deformation of brain tissue–eg, up to 10 mm due to egress of cerebrospinal fluid during …

MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images

M Sebai, X Wang, T Wang - Medical & Biological Engineering & …, 2020 - Springer
Counting the mitotic cells in histopathological cancerous tissue areas is the most relevant
indicator of tumor grade in aggressive breast cancer diagnosis. In this paper, we propose a …

AMNet: Adaptive multi-level network for deformable registration of 3D brain MR images

T Che, X Wang, K Zhao, Y Zhao, D Zeng, Q Li… - Medical Image …, 2023 - Elsevier
Abstract Three-dimensional (3D) deformable image registration is a fundamental technique
in medical image analysis tasks. Although it has been extensively investigated, current deep …

A deep learning based framework for the registration of three dimensional multi-modal medical images of the head

KT Islam, S Wijewickrema, S O'Leary - Scientific Reports, 2021 - nature.com
Image registration is a fundamental task in image analysis in which the transform that moves
the coordinate system of one image to another is calculated. Registration of multi-modal …

Geometry-consistent adversarial registration model for unsupervised multi-modal medical image registration

Y Liu, W Wang, Y Li, H Lai, S Huang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Deformable multi-modal medical image registration aligns the anatomical structures of
different modalities to the same coordinate system through a spatial transformation. Due to …

Review and recommendations on deformable image registration uncertainties for radiotherapy applications

L Nenoff, F Amstutz, M Murr… - Physics in Medicine …, 2023 - iopscience.iop.org
Deformable image registration (DIR) is a versatile tool used in many applications in
radiotherapy (RT). DIR algorithms have been implemented in many commercial treatment …