AIMC Topic: Neural Networks, Computer

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A Spatial Registration Method Based on Point Cloud and Deep Learning for Augmented Reality Neurosurgical Navigation.

The international journal of medical robotics + computer assisted surgery : MRCAS Dec 1, 2024
BACKGROUND: In order to achieve spatial registration for surgical navigation, a spatial registration method based on point cloud and deep learning is proposed.
Neuronavigation Surgery, Computer-Assisted Phantoms, Imaging Cloud Computing Robotic Surgical Procedures Neurosurgical Procedures Augmented Reality Algorithms Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer
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MSA-MaxNet: Multi-Scale Attention Enhanced Multi-Axis Vision Transformer Network for Medical Image Segmentation.

Journal of cellular and molecular medicine Dec 1, 2024
Convolutional neural networks (CNNs) are well established in handling local features in visual tasks; yet, they falter in managing complex spatial relationships and long-range dependencies that are crucial for medical image segmentation, particularly...
Humans Neural Networks, Computer Diagnostic Imaging Algorithms Image Processing, Computer-Assisted
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The TabNet Model for Diagnosing Axial Spondyloarthritis Using MRI Imaging Findings and Clinical Risk Factors.

International journal of rheumatic diseases Dec 1, 2024
OBJECTIVES: The aim of this study is to develop and validate a model for predicting axial spondyloarthritis (axSpA) based on sacroiliac joint (SIJ)-MRI imaging findings and clinical risk factors.
Axial Spondyloarthritis Humans Female Adult Male Reproducibility of Results Neural Networks, Computer Middle Aged Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Risk Factors Machine Learning Sacroiliac Joint Predictive Value of Tests Decision Support Techniques
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Examining the Influenza A Virus Sialic Acid Binding Preference Predictions of a Sequence-Based Convolutional Neural Network.

Influenza and other respiratory viruses Dec 1, 2024
BACKGROUND: Though receptor binding specificity is well established as a contributor to host tropism and spillover potential of influenza A viruses, determining receptor binding preference of a specific virus still requires expensive and time-consumi...
Amino Acid Sequence Influenza, Human Hemagglutinin Glycoproteins, Influenza Virus Receptors, Virus N-Acetylneuraminic Acid Machine Learning Influenza A virus Protein Binding Humans Neural Networks, Computer
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Patch-based convolutional neural networks for automatic landmark detection of 3D facial images in clinical settings.

European journal of orthodontics Dec 1, 2024
BACKGROUND: The facial landmark annotation of 3D facial images is crucial in clinical orthodontics and orthognathic surgeries for accurate diagnosis and treatment planning. While manual landmarking has traditionally been the gold standard, it is labo...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Anatomic Landmarks Neural Networks, Computer Female Male Face Humans
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Mapping the Use of Artificial Intelligence-Based Image Analysis for Clinical Decision-Making in Dentistry: A Scoping Review.

Clinical and experimental dental research Dec 1, 2024
OBJECTIVES: Artificial intelligence (AI) is an emerging field in dentistry. AI is gradually being integrated into dentistry to improve clinical dental practice. The aims of this scoping review were to investigate the application of AI in image analys...
Artificial Intelligence Clinical Decision-Making Image Processing, Computer-Assisted Dentistry Humans Neural Networks, Computer
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Prediction of Post Traumatic Epilepsy Using MR-Based Imaging Markers.

Human brain mapping Dec 1, 2024
Post-traumatic epilepsy (PTE) is a debilitating neurological disorder that develops after traumatic brain injury (TBI). Despite the high prevalence of PTE, current methods for predicting its occurrence remain limited. In this study, we aimed to ident...
Male Middle Aged Support Vector Machine Connectome Female Epilepsy, Post-Traumatic Young Adult Humans Magnetic Resonance Imaging Neural Networks, Computer Brain Injuries, Traumatic Adult Machine Learning
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External validation of a deep learning model for automatic segmentation of skeletal muscle and adipose tissue on abdominal CT images.

The British journal of radiology Dec 1, 2024
OBJECTIVES: Body composition assessment using CT images at the L3-level is increasingly applied in cancer research and has been shown to be strongly associated with long-term survival. Robust high-throughput automated segmentation is key to assess la...
Female Adipose Tissue Middle Aged Body Composition Aged Deep Learning Male Muscle, Skeletal Intra-Abdominal Fat Humans Radiography, Abdominal Neural Networks, Computer Tomography, X-Ray Computed
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Improved prediction of post-translational modification crosstalk within proteins using DeepPCT.

Bioinformatics (Oxford, England) Nov 28, 2024
MOTIVATION: Post-translational modification (PTM) crosstalk events play critical roles in biological processes. Several machine learning methods have been developed to identify PTM crosstalk within proteins, but the accuracy is still far from satisfa...
Computational Biology Protein Processing, Post-Translational Proteins Neural Networks, Computer Algorithms Databases, Protein Deep Learning
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Noninvasive fetal genotyping using deep neural networks.

Briefings in bioinformatics Nov 22, 2024
Circulating cell-free DNA (cfDNA) is a powerful diagnostics tool that is widely studied in the context of liquid biopsy in oncology and other fields. In obstetrics, maternal plasma cfDNA have already proven its utility, enabling noninvasive prenatal ...
Female Cell-Free Nucleic Acids Humans Fetus Deep Learning Whole Genome Sequencing Neural Networks, Computer Prenatal Diagnosis Genotype Genotyping Techniques Pregnancy Noninvasive Prenatal Testing
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