AIMC Topic: Imaging, Three-Dimensional

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Stages prediction of Alzheimer's disease with shallow 2D and 3D CNNs from intelligently selected neuroimaging data.

Scientific reports Mar 18, 2025
Detection of Alzheimer's Disease (AD) is critical for successful diagnosis and treatment, involving the common practice of screening for Mild Cognitive Impairment (MCI). However, the progressive nature of AD makes it challenging to identify its causa...
Positron-Emission Tomography Neuroimaging Female Aged Male Humans Neural Networks, Computer Brain Deep Learning Image Processing, Computer-Assisted Cognitive Dysfunction Magnetic Resonance Imaging Imaging, Three-Dimensional Alzheimer Disease
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LW-CTrans: A lightweight hybrid network of CNN and Transformer for 3D medical image segmentation.

Medical image analysis Mar 17, 2025
Recent models based on convolutional neural network (CNN) and Transformer have achieved the promising performance for 3D medical image segmentation. However, these methods cannot segment small targets well even when equipping large parameters. Theref...
Neural Networks, Computer Algorithms Imaging, Three-Dimensional Humans
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Accelerated intracranial time-of-flight MR angiography with image-based deep learning image enhancement reduces scan times and improves image quality at 3-T and 1.5-T.

Neuroradiology Mar 17, 2025
PURPOSE: Three-dimensional time-of-flight magnetic resonance angiography (TOF-MRA) is effective for cerebrovascular disease assessment, but clinical application is limited by long scan times and low spatial resolution. Recent advances in deep learnin...
Humans Adult Male Middle Aged Image Interpretation, Computer-Assisted Image Enhancement Retrospective Studies Signal-To-Noise Ratio Deep Learning Female Magnetic Resonance Angiography Imaging, Three-Dimensional Aged Cerebrovascular Disorders
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Generative AI extracts ecological meaning from the complex three dimensional shapes of bird bills.

PLoS computational biology Mar 17, 2025
Data on the three dimensional shape of organismal morphology is becoming increasingly available, and forms part of a new revolution in high-throughput phenomics that promises to help understand ecological and evolutionary processes that influence phe...
Imaging, Three-Dimensional Computational Biology Beak Animals Birds Artificial Intelligence Deep Learning
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UC-NeRF: Uncertainty-Aware Conditional Neural Radiance Fields From Endoscopic Sparse Views.

IEEE transactions on medical imaging Mar 17, 2025
Visualizing surgical scenes is crucial for revealing internal anatomical structures during minimally invasive procedures. Novel View Synthesis is a vital technique that offers geometry and appearance reconstruction, enhancing understanding, planning,...
Uncertainty Humans Neural Networks, Computer Algorithms Endoscopy Imaging, Three-Dimensional Image Processing, Computer-Assisted
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ShapeMed-Knee: A Dataset and Neural Shape Model Benchmark for Modeling 3D Femurs.

IEEE transactions on medical imaging Mar 17, 2025
Analyzing anatomic shapes of tissues and organs is pivotal for accurate disease diagnostics and clinical decision-making. One prominent disease that depends on anatomic shape analysis is osteoarthritis, which affects 30 million Americans. To advance ...
Databases, Factual Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Neural Networks, Computer Knee Joint Femur Osteoarthritis, Knee
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MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations.

Medical image analysis Mar 15, 2025
Geometric transformations have been widely used to augment the size of training images. Existing methods often assume a unimodal distribution of the underlying transformations between images, which limits their power when data with multimodal distrib...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Deep Learning Humans Imaging, Three-Dimensional Algorithms Image Processing, Computer-Assisted Brain
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Explainable artificial intelligence to quantify adenoid hypertrophy-related upper airway obstruction using 3D Shape Analysis.

Journal of dentistry Mar 14, 2025
OBJECTIVES: To develop and validate an explainable Artificial Intelligence (AI) model for classifying and quantifying upper airway obstruction related to adenoid hypertrophy using three-dimensional (3D) shape analysis of cone-beam computed tomography...
Humans Artificial Intelligence Female Imaging, Three-Dimensional Hypertrophy Child, Preschool Adenoids Airway Obstruction Child Male Cone-Beam Computed Tomography Deep Learning Adolescent
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Patellar tilt calculation utilizing artificial intelligence on CT knee imaging.

The Knee Mar 13, 2025
BACKGROUND: In the diagnosis of patellar instability, three-dimensional (3D) imaging enables measurement of a wide range of metrics. However, measuring these metrics can be time-consuming and prone to error due to conducting 2D measurements on 3D obj...
Humans Artificial Intelligence Algorithms Tomography, X-Ray Computed Imaging, Three-Dimensional Knee Joint Joint Instability Patella Patellar Dislocation Male Female Case-Control Studies Young Adult Adolescent Adult
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A robust deep learning approach for segmenting cortical and trabecular bone from 3D high resolution µCT scans of mouse bone.

Scientific reports Mar 13, 2025
Recent advancements in deep learning have significantly enhanced the segmentation of high-resolution microcomputed tomography (µCT) bone scans. In this paper, we present the dual-branch attention-based hybrid network (DBAHNet), a deep learning archit...
X-Ray Microtomography Cortical Bone Cancellous Bone Imaging, Three-Dimensional Animals Mice Deep Learning Tibia Neural Networks, Computer
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