AIMC Topic: Imaging, Three-Dimensional

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Three-dimensional convolutional neural networks for simultaneous dual-tracer PET imaging.

Physics in medicine and biology Sep 19, 2019
Dual-tracer positron emission tomography (PET) is a promising technique to measure the distribution of two tracers in the body by a single scan, which can improve the clinical accuracy of disease diagnosis and can also serve as a research tool for sc...
Mice, Inbred BALB C Positron-Emission Tomography Monte Carlo Method Imaging, Three-Dimensional Image Processing, Computer-Assisted Mice Neoplasm Transplantation Brain Tomography, X-Ray Computed Female Animals Deep Learning Cell Line, Tumor Humans Neural Networks, Computer Algorithms
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Abdominal artery segmentation method from CT volumes using fully convolutional neural network.

International journal of computer assisted radiology and surgery Sep 6, 2019
PURPOSE : The purpose of this paper is to present a fully automated abdominal artery segmentation method from a CT volume. Three-dimensional (3D) blood vessel structure information is important for diagnosis and treatment. Information about blood ves...
Imaging, Three-Dimensional Humans Abdomen Neural Networks, Computer Arteries Tomography, X-Ray Computed Cone-Beam Computed Tomography
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Automatic segmentation of the mandible from computed tomography scans for 3D virtual surgical planning using the convolutional neural network.

Physics in medicine and biology Sep 5, 2019
Segmentation of mandibular bone in CT scans is crucial for 3D virtual surgical planning of craniofacial tumor resection and free flap reconstruction of the resection defect, in order to obtain a detailed surface representation of the bones. A major d...
Tomography, X-Ray Computed Imaging, Three-Dimensional Mandible Humans Neural Networks, Computer
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MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation.

Neural networks : the official journal of the International Neural Network Society Sep 4, 2019
In recent years Deep Learning has brought about a breakthrough in Medical Image Segmentation. In this regard, U-Net has been the most popular architecture in the medical imaging community. Despite outstanding overall performance in segmenting multimo...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Microscopy, Fluorescence Humans Neural Networks, Computer Deep Learning
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Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs.

Medical image analysis Sep 4, 2019
Cochlear implants (CIs) are surgically implanted neural prosthetic devices that are used to treat severe-to-profound hearing loss. These devices are programmed post implantation and precise knowledge of the implant position with respect to the intra ...
Radiographic Image Enhancement Humans Cochlea Algorithms Neural Networks, Computer Imaging, Three-Dimensional Tomography, X-Ray Computed Artifacts Metals Cochlear Implants
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A Machine Learning-Based QSAR Model for Benzimidazole Derivatives as Corrosion Inhibitors by Incorporating Comprehensive Feature Selection.

Interdisciplinary sciences, computational life sciences Sep 4, 2019
BACKGROUND: Computational prediction of inhibition efficiency (IE) for inhibitor molecules is a crucial supplementary way to design novel molecules that can efficiently inhibit corrosion onto metallic surfaces.
Static Electricity Benzimidazoles Chemistry Linear Models Conservation of Natural Resources Quantitative Structure-Activity Relationship Corrosion Imaging, Three-Dimensional Computational Biology Support Vector Machine Cluster Analysis Predictive Value of Tests Hydrazines Machine Learning Algorithms Metals
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Deep regression neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic stroke.

International journal of computer assisted radiology and surgery Sep 3, 2019
PURPOSE: Acute ischemic stroke is one of the primary causes of death worldwide. Recent studies have shown that the assessment of collateral status could aid in improving the treatment for patients with acute ischemic stroke. We present a 3D deep regr...
Retrospective Studies Imaging, Three-Dimensional Follow-Up Studies Humans Neural Networks, Computer Magnetic Resonance Imaging Acute Disease Brain Ischemia
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Generating Point Cloud from Measurements and Shapes Based on Convolutional Neural Network: An Application for Building 3D Human Model.

Computational intelligence and neuroscience Sep 2, 2019
It has been widely known that 3D shape models are comprehensively parameterized using point cloud and meshes. The point cloud particularly is much simpler to handle compared with meshes, and it also contains the shape information of a 3D model. In th...
Middle Aged Deep Learning Imaging, Three-Dimensional Nerve Net Humans Young Adult Neural Networks, Computer Adult Female Male
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A 3D Spatially Weighted Network for Segmentation of Brain Tissue From MRI.

IEEE transactions on medical imaging Aug 23, 2019
The segmentation of brain tissue in MRI is valuable for extracting brain structure to aid diagnosis, treatment and tracking the progression of different neurologic diseases. Medical image data are volumetric and some neural network models for medical...
Deep Learning Imaging, Three-Dimensional Brain Magnetic Resonance Imaging Humans Female Male Algorithms
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DeepOrganNet: On-the-Fly Reconstruction and Visualization of 3D / 4D Lung Models from Single-View Projections by Deep Deformation Network.

IEEE transactions on visualization and computer graphics Aug 22, 2019
This paper introduces a deep neural network based method, i.e., DeepOrganNet, to generate and visualize fully high-fidelity 3D / 4D organ geometric models from single-view medical images with complicated background in real time. Traditional 3D / 4D m...
Imaging, Three-Dimensional Lung Deep Learning Lung Neoplasms Cone-Beam Computed Tomography Phantoms, Imaging Humans Neural Networks, Computer Algorithms
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