AIMC Topic: Imaging, Three-Dimensional

Clear Filters Showing 1561 to 1570 of 1894 articles

Machine learning-based augmented reality for improved surgical scene understanding.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 19, 2014
In orthopedic and trauma surgery, AR technology can support surgeons in the challenging task of understanding the spatial relationships between the anatomy, the implants and their tools. In this context, we propose a novel augmented visualization of ...
Humans Multimodal Imaging Machine Learning Equipment Design Sensitivity and Specificity Algorithms Surgery, Computer-Assisted Image Enhancement User-Computer Interface Equipment Failure Analysis Imaging, Three-Dimensional Tomography, X-Ray Computed Reproducibility of Results Video Recording Image Interpretation, Computer-Assisted Pattern Recognition, Automated
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OpenIGTLink interface for state control and visualisation of a robot for image-guided therapy systems.

International journal of computer assisted radiology and surgery Jun 13, 2014
PURPOSE: The integration of a robot into an image-guided therapy system is still a time consuming process, due to the lack of a well-accepted standard for interdevice communication. The aim of this project is to simplify this procedure by developing ...
Software Humans Robotics Algorithms Equipment Design Surgery, Computer-Assisted Imaging, Three-Dimensional
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Combining C-arm CT with a new remote operated positioning and guidance system for guidance of minimally invasive spine interventions.

Journal of neurointerventional surgery Mar 5, 2014
OBJECTIVE: To report our experience using C-arm cone beam CT (C-arm CBCT) combined with the new remote operated positioning and guidance system, iSYS1, for needle guidance during spinal interventions.
Minimally Invasive Surgical Procedures Surgery, Computer-Assisted Spinal Fractures Cone-Beam Computed Tomography Humans Imaging, Three-Dimensional Robotics
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Consensus-Based 3D View Generation from Noisy Images.

International journal of neural systems Dec 30, 2025
The real-time synthesis of 3D views, facilitated by convolutional neural networks like NeX, is increasingly pivotal in various computer vision applications. These networks are trained using photographs taken from different perspectives during the tra...
Image Processing, Computer-Assisted Signal-To-Noise Ratio Algorithms Imaging, Three-Dimensional Humans Consensus Neural Networks, Computer
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[An unsupervised three-dimensional medical image registration method based on shifted window Transformer and convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2025
Three-dimensional (3D) deformable image registration plays a critical role in 3D medical image processing. This technique aligns images from different time points, modalities, or individuals in 3D space, enabling the comparison and fusion of anatomic...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms Convolutional Neural Networks
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[Detection of neurofibroma combining radiomics and ensemble learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2025
This study proposes an automated neurofibroma detection method for whole-body magnetic resonance imaging (WBMRI) based on radiomics and ensemble learning. A dynamic weighted box fusion mechanism integrating two dimensional (2D) object detection and t...
Humans Machine Learning Algorithms Ensemble Learning Whole Body Imaging Radiomics Neurofibroma Imaging, Three-Dimensional Magnetic Resonance Imaging
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Artifact-robust Deep Learning-based Segmentation of 3D Phase-contrast MR Angiography: A Novel Data Augmentation Approach.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Dec 25, 2025
This study presents a novel data augmentation approach to improve deep learning (DL)-based segmentation for 3D phase-contrast magnetic resonance angiography (PC-MRA) images affected by pulsation artifacts. Augmentation was achieved by simulating puls...
Female Adult Male Humans Algorithms Contrast Media Artifacts Magnetic Resonance Angiography Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Reduction of photobleaching effects in photoacoustic imaging using noise agnostic, platform-flexible deep-learning methods.

Journal of biomedical optics Dec 1, 2025
SIGNIFICANCE: Molecular photoacoustic (PA) imaging with exogenous dyes faces a significant challenge due to the photobleaching of the dye that can compromise tissue visualization, particularly in 3D imaging. Addressing this limitation can revolutioni...
Photobleaching Mice Humans Signal-To-Noise Ratio Imaging, Three-Dimensional Animals Photoacoustic Techniques Image Processing, Computer-Assisted Deep Learning
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A Joint Geometric Topological Analysis Network (JGTA-Net) for Detecting and Segmenting Intracranial Aneurysms.

IEEE transactions on bio-medical engineering Dec 1, 2025
OBJECTIVE: The rupture of intracranial aneurysms leads to subarachnoid hemorrhage. Detecting intracranial aneurysms before rupture and stratifying their risk is critical in guiding preventive measures. Point-based aneurysm segmentation provides a pla...
Intracranial Aneurysm Humans Neural Networks, Computer Algorithms Imaging, Three-Dimensional Image Interpretation, Computer-Assisted
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Detection of common bile duct dilatation on magnetic resonance cholangiopancreatography by deep learning.

Diagnostic and interventional radiology (Ankara, Turkey) Nov 6, 2025
PURPOSE: This study aims to detect common bile duct (CBD) dilatation using deep learning methods from artificial intelligence algorithms.
Adult Common Bile Duct Middle Aged Algorithms Humans Deep Learning Dilatation, Pathologic Female Cholangiopancreatography, Magnetic Resonance Neural Networks, Computer Male Imaging, Three-Dimensional Aged
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