AIMC Topic: Imaging, Three-Dimensional

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Three-dimensional markerless surface topography approach with convolutional neural networks for adolescent idiopathic scoliosis screening.

Scientific reports Mar 13, 2025
Adolescent idiopathic scoliosis (AIS) is a three-dimensional lateral and torsional deformity of the spine, affecting up to 5% of the population. Traditional scoliosis screening methods exhibit limited accuracy, leading to unnecessary referrals and ex...
Humans Child Neural Networks, Computer Male Imaging, Three-Dimensional Convolutional Neural Networks Female Adolescent Spine Scoliosis
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Robust Human Tracking Using a 3D LiDAR and Point Cloud Projection for Human-Following Robots.

Sensors (Basel, Switzerland) Mar 12, 2025
Human tracking is a fundamental technology for mobile robots that work with humans. Various devices are used to observe humans, such as cameras, RGB-D sensors, millimeter-wave radars, and laser range finders (LRF). Typical LRF measurements observe on...
Humans Robotics Algorithms Lasers Imaging, Three-Dimensional Radar
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Bone-wise rigid registration of femur, tibia, and fibula for the tracking of temporal changes.

Journal of applied clinical medical physics Mar 11, 2025
BACKGROUND: Multiple myeloma (MM) induces temporal alterations in bone structure, such as osteolytic bone lesions, which are challenging to identify through manual image interpretation. The large variation in radiologists' assessments, even at expert...
Multiple Myeloma Tibia Femur Fibula Tomography, X-Ray Computed Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Alzheimer's disease prediction using 3D-CNNs: Intelligent processing of neuroimaging data.

SLAS technology Mar 6, 2025
Alzheimer's disease (AD) is a severe neurological illness that demolishes memory and brain functioning. This disease affects an individual's capacity to work, think, and behave. The proportion of individuals suffering from AD is rapidly increasing. I...
Humans Magnetic Resonance Imaging Imaging, Three-Dimensional Brain Neural Networks, Computer Alzheimer Disease Cognitive Dysfunction Image Processing, Computer-Assisted Neuroimaging
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Accurate phenotyping of luminal A breast cancer in magnetic resonance imaging: A new 3D CNN approach.

Computers in biology and medicine Mar 6, 2025
Breast cancer (BC) remains a predominant and deadly cancer in women worldwide. By 2040, projections indicate that more than 3 million new cases of breast cancer will emerge annually, culminating in more than 1 million deaths worldwide. Early detectio...
Neural Networks, Computer Phenotype Humans Deep Learning Female Imaging, Three-Dimensional Breast Neoplasms Magnetic Resonance Imaging Middle Aged
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HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-Body Mesh Recovery.

IEEE transactions on pattern analysis and machine intelligence Mar 6, 2025
Recovering whole-body mesh by inferring the abstract pose and shape parameters from visual content can obtain 3D bodies with realistic structures. However, the inferring process is highly non-linear and suffers from image-mesh misalignment, resulting...
Posture Whole Body Imaging Algorithms Biomechanical Phenomena Imaging, Three-Dimensional Humans Neural Networks, Computer
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Development and validation of automated three-dimensional convolutional neural network model for acute appendicitis diagnosis.

Scientific reports Mar 5, 2025
Rapid, accurate preoperative imaging diagnostics of appendicitis are critical in surgical decisions of emergency care. This study developed a fully automated diagnostic framework using a 3D convolutional neural network (CNN) to identify appendicitis ...
Imaging, Three-Dimensional Deep Learning Convolutional Neural Networks Adolescent Sensitivity and Specificity Acute Disease Male Appendicitis Appendectomy Humans Middle Aged Neural Networks, Computer Appendix Young Adult Algorithms Tomography, X-Ray Computed Adult Female
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Skeleton Reconstruction Using Generative Adversarial Networks for Human Activity Recognition Under Occlusion.

Sensors (Basel, Switzerland) Mar 4, 2025
Recognizing human activities from motion data is a complex task in computer vision, involving the recognition of human behaviors from sequences of 3D motion data. These activities encompass successive body part movements, interactions with objects, o...
Human Activities Skeleton Generative Adversarial Networks Humans Imaging, Three-Dimensional Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Pattern Recognition, Automated
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Artificial intelligence-driven 3D MRI of lumbosacral nerve root anomalies: accuracy, incidence, and clinical utility.

Neuroradiology Mar 1, 2025
PURPOSE: Lumbosacral nerve root anomalies are relatively rare but can be a risk factor for intraoperative nerve injury. However, it is often difficult to evaluate them with preoperative imaging. We developed a software that automatically generates th...
Humans Aged Adult Male Middle Aged Artificial Intelligence Software Female Lumbosacral Region Imaging, Three-Dimensional Magnetic Resonance Imaging Spinal Nerve Roots Adolescent Incidence Child
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A deep learning and statistical shape modeling-based method for assessing intercondylar notch volume in anterior cruciate ligament reconstruction.

The Knee Feb 28, 2025
BACKGROUND: Anterior cruciate ligament (ACL) reconstruction is a widely performed procedure for ACL injury, but there are several factors which may lead to re-rupture or clinical failure. An intercondylar notch (or fossa) that is narrower may increas...
Humans Female Male Knee Joint Femur Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Reconstruction Deep Learning Imaging, Three-Dimensional Models, Statistical
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