AIMC Topic: Imaging, Three-Dimensional

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Deep learning based coronary vessels segmentation in X-ray angiography using temporal information.

Medical image analysis Feb 18, 2025
Invasive coronary angiography (ICA) is the gold standard imaging modality during cardiac interventions. Accurate segmentation of coronary vessels in ICA is required for aiding diagnosis and creating treatment plans. Current automated algorithms for v...
Humans Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Algorithms Deep Learning Imaging, Three-Dimensional
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Three-dimensional analysis of mandibular and condylar growth using artificial intelligence tools: a comparison of twin-block and Frankel II Appliances.

BMC oral health Feb 18, 2025
BACKGROUND: Analyzing the morphological growth changes upon mandibular advancement between Twin Block (TB) and Functional Regulator II (FR2) in Class II patients involves measuring the condylar and mandibular changes in terms of linear and volumetric...
Cone-Beam Computed Tomography Imaging, Three-Dimensional Mandible Cephalometry Mandibular Advancement Malocclusion, Angle Class II Mandibular Condyle Humans Orthodontic Appliances, Functional Artificial Intelligence Female Male Child
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The development of an artificial intelligence auto-segmentation tool for 3D volumetric analysis of vestibular schwannomas.

Scientific reports Feb 18, 2025
Linear and volumetric analysis are the typical methods to measure tumor size. 3D volumetric analysis has risen in popularity; however, this is very time and labor intensive limiting its implementation in clinical practice. This study aims to show tha...
Tumor Burden Neuroma, Acoustic Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Humans Male Female Artificial Intelligence Middle Aged Adult Software Imaging, Three-Dimensional
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Sub-1-min relaxation-enhanced non-contrast non-triggered cervical MRA using compressed SENSE with deep learning reconstruction in healthy volunteers.

European radiology experimental Feb 18, 2025
BACKGROUND: We evaluated the acceleration of a three-dimensional isotropic flow-independent magnetic resonance angiography (MRA) (relaxation-enhanced angiography without contrast and triggering, REACT) of neck arteries using compressed SENSE (CS) com...
Neck Healthy Volunteers Signal-To-Noise Ratio Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Angiography Female Young Adult Adult Male Middle Aged Deep Learning Humans
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Predicting cell properties with AI from 3D imaging flow cytometer data.

Scientific reports Feb 17, 2025
Predicting the properties of tissues or organisms from the genomics data is widely accepted by the medical community. Here we ask a question: can we predict the properties of each individual cell? Single-cell genomics does not work because the RNA se...
Single-Cell Analysis Imaging, Three-Dimensional Flow Cytometry Humans Artificial Intelligence
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Leveraging deep learning for nonlinear shape representation in anatomically parameterized statistical shape models.

International journal of computer assisted radiology and surgery Feb 14, 2025
PURPOSE: Statistical shape models (SSMs) are widely used for morphological assessment of anatomical structures. However, a key limitation is the need for a clear relationship between the model's shape coefficients and clinically relevant anatomical p...
Nonlinear Dynamics Femur Deep Learning Humans Imaging, Three-Dimensional Tomography, X-Ray Computed Models, Statistical
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A unique AI-based tool for automated segmentation of pulp cavity structures in maxillary premolars on CBCT.

Scientific reports Feb 14, 2025
To develop and validate an artificial intelligence (AI)-driven tool for the automatic segmentation of pulp cavity structures in maxillary premolars teeth on cone-beam computed tomography (CBCT). One hundred and eleven CBCT scans were divided into tra...
Maxilla Humans Bicuspid Cone-Beam Computed Tomography Artificial Intelligence Imaging, Three-Dimensional Male Image Processing, Computer-Assisted Dental Pulp Cavity
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VSR-Net: Vessel-Like Structure Rehabilitation Network With Graph Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 14, 2025
The morphologies of vessel-like structures, such as blood vessels and nerve fibres, play significant roles in disease diagnosis, e.g., Parkinson's disease. Although deep network-based refinement segmentation and topology-preserving segmentation metho...
Imaging, Three-Dimensional Algorithms Humans Image Interpretation, Computer-Assisted Cluster Analysis Neural Networks, Computer Databases, Factual Blood Vessels Parkinson Disease Brain
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Improved segmentation of hepatic vascular networks in ultrasound volumes using 3D U-Net with intensity transformation-based data augmentation.

Medical & biological engineering & computing Feb 13, 2025
Accurate three-dimensional (3D) segmentation of hepatic vascular networks is crucial for supporting ultrasound-mediated theranostics for liver diseases. Despite advancements in deep learning techniques, accurate segmentation remains challenging due t...
Ultrasonography Humans Neural Networks, Computer Imaging, Three-Dimensional Algorithms Liver Deep Learning
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Multi-step depth enhancement refine network with multi-view stereo.

PloS one Feb 13, 2025
This paper introduces an innovative multi-view stereo matching network-the Multi-Step Depth Enhancement Refine Network (MSDER-MVS), aimed at improving the accuracy and computational efficiency of high-resolution 3D reconstruction. The MSDER-MVS netwo...
Deep Learning Imaging, Three-Dimensional Neural Networks, Computer Algorithms Humans
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