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 …

Evaluation of MRI to ultrasound registration methods for brain shift correction: the CuRIOUS2018 challenge

Y Xiao, H Rivaz, M Chabanas, M Fortin… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
In brain tumor surgery, the quality and safety of the procedure can be impacted by intra-
operative tissue deformation, called brain shift. Brain shift can move the surgical targets and …

Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data

I Machado, M Toews, E George, P Unadkat, W Essayed… - NeuroImage, 2019 - Elsevier
Intraoperative tissue deformation, known as brain shift, decreases the benefit of using
preoperative images to guide neurosurgery. Non-rigid registration of preoperative magnetic …

ARENA: Inter-modality affine registration using evolutionary strategy

N Masoumi, Y Xiao, H Rivaz - … journal of computer assisted radiology and …, 2019 - Springer
Purpose Image fusion of different imaging modalities renders valuable information to
clinicians. In this paper, we proposed an automatic multimodal registration method to …

iRegNet: Non-rigid registration of MRI to interventional US for brain-shift compensation using convolutional neural networks

RA Zeineldin, ME Karar, Z Elshaer… - Ieee …, 2021 - ieeexplore.ieee.org
Accurate and safe neurosurgical intervention can be affected by intra-operative tissue
deformation, known as brain-shift. In this study, we propose an automatic, fast, and accurate …

The essential role of open data and software for the future of ultrasound-based neuronavigation

I Reinertsen, DL Collins, S Drouin - Frontiers in Oncology, 2021 - frontiersin.org
With the recent developments in machine learning and modern graphics processing units
(GPUs), there is a marked shift in the way intra-operative ultrasound (iUS) images can be …

[PDF][PDF] Deep multimodality image-guided system for assisting neurosurgery

R Zeineldin - 2023 - core.ac.uk
Intrakranielle Hirntumoren gehören zu den zehn häufigsten bösartigen Krebsarten und sind
für eine erhebliche Morbidität und Mortalität verantwortlich. Die größte histologische …

Deep Learning in Cardiac Magnetic Resonance Image Analysis and Cardiovascular Disease Diagnosis

X Chen - 2023 - etheses.whiterose.ac.uk
Cardiovascular diseases (CVDs) are the leading cause of death in the world, accounting for
17.9 million deaths each year, 31\% of all global deaths. According to the World Health …

[PDF][PDF] iRegNet: Non-Rigid Registration of MRI to Interventional US for Brain-Shift Compensation Using Convolutional Neural Networks

Z ELSHAER, M SCHMIDHAMMER, JAN COBURGER… - academia.edu
Accurate and safe neurosurgical intervention can be affected by intra-operative tissue
deformation, known as brain-shift. In this study, we propose an automatic, fast, and accurate …