AIMC Topic: Tomography, X-Ray Computed

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Neural shape completion for personalized Maxillofacial surgery.

Scientific reports Aug 27, 2024
In this paper, we investigate the effectiveness of shape completion neural networks as clinical aids in maxillofacial surgery planning. We present a pipeline to apply shape completion networks to automatically reconstruct complete eumorphic 3D meshes...
Surgery, Oral Neural Networks, Computer Imaging, Three-Dimensional Surgery, Computer-Assisted Precision Medicine Humans Skull Tomography, X-Ray Computed
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A 3D Convolutional Neural Network Based on Non-enhanced Brain CT to Identify Patients with Brain Metastases.

Journal of imaging informatics in medicine Aug 26, 2024
Dedicated brain imaging for cancer patients is seldom recommended in the absence of symptoms. There is increasing availability of non-enhanced CT (NE-CT) of the brain, mainly owing to a wider utilization of Positron Emission Tomography-CT (PET-CT) in...
Humans Retrospective Studies Tomography, X-Ray Computed Neural Networks, Computer Brain Middle Aged Convolutional Neural Networks Imaging, Three-Dimensional Magnetic Resonance Imaging Female Aged Aged, 80 and over Adult Brain Neoplasms Male
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Quantitative CT Imaging Features Associated with Stable PRISm using Machine Learning.

Academic radiology Aug 26, 2024
RATIONALE AND OBJECTIVES: The structural lung features that characterize individuals with preserved ratio impaired spirometry (PRISm) that remain stable overtime are unknown. The objective of this study was to use machine learning models with compute...
Radiographic Image Interpretation, Computer-Assisted Spirometry Male Middle Aged Lung Female Machine Learning Aged Humans Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive
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Mandibular Gender Dimorphism: The Utility of Artificial Intelligence and Statistical Shape Modeling in Skeletal Facial Analysis.

Aesthetic plastic surgery Aug 26, 2024
BACKGROUND: In gender-affirming surgery, facial skeletal dimorphism is an important topic for every craniofacial surgeon. Few cephalometric studies have assessed this topic; however, they fall short to provide skeletal contour insights that direct su...
Mandible Models, Statistical Cephalometry Sex Characteristics Adult Male Imaging, Three-Dimensional Tomography, X-Ray Computed Female Young Adult Artificial Intelligence Humans Retrospective Studies
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[Applications of artificial intelligence in radiology].

Radiologie (Heidelberg, Germany) Aug 26, 2024
BACKGROUND: Artificial intelligence (AI) is increasingly finding its way into routine radiological work.
Magnetic Resonance Imaging Radiology Artificial Intelligence Tomography, X-Ray Computed Humans
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Assessment of deep learning image reconstruction (DLIR) on image quality in pediatric cardiac CT datasets type of manuscript: Original research.

PloS one Aug 26, 2024
BAKGROUND: To evaluate the quantitative and qualitative image quality using deep learning image reconstruction (DLIR) of pediatric cardiac computed tomography (CT) compared with conventional image reconstruction methods.
Heart Deep Learning Infant, Newborn Signal-To-Noise Ratio Humans Adolescent Child Male Tomography, X-Ray Computed Child, Preschool Infant Image Processing, Computer-Assisted Female Radiographic Image Interpretation, Computer-Assisted
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Explainable machine-learning-based prediction of QCT/FEA-calculated femoral strength under stance loading configuration using radiomics features.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Aug 25, 2024
Finite element analysis can provide precise femoral strength assessment. However, its modeling procedures were complex and time-consuming. This study aimed to develop a model to evaluate femoral strength calculated by quantitative computed tomography...
Machine Learning Tomography, X-Ray Computed Aged Humans Middle Aged Femur Finite Element Analysis Aged, 80 and over Radiomics Male
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Renal tumor segmentation, visualization, and segmentation confidence using ensembles of neural networks in patients undergoing surgical resection.

European radiology Aug 23, 2024
OBJECTIVES: To develop an automatic segmentation model for solid renal tumors on contrast-enhanced CTs and to visualize segmentation with associated confidence to promote clinical applicability.
Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Male Humans Middle Aged Neural Networks, Computer Contrast Media Aged Retrospective Studies Tomography, X-Ray Computed Adult Female
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RobMedNAS: searching robust neural network architectures for medical image synthesis.

Biomedical physics & engineering express Aug 23, 2024
Investigating U-Net model robustness in medical image synthesis against adversarial perturbations, this study introduces RobMedNAS, a neural architecture search strategy for identifying resilient U-Net configurations. Through retrospective analysis o...
Humans Retrospective Studies Neural Networks, Computer Tomography, X-Ray Computed Algorithms Image Processing, Computer-Assisted Brain Magnetic Resonance Imaging
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Deep learning-based automated liver contouring using a small sample of radiotherapy planning computed tomography images.

Radiography (London, England : 1995) Aug 23, 2024
INTRODUCTION: No study has yet investigated the minimum amount of data required for deep learning-based liver contouring. Therefore, this study aimed to investigate the feasibility of automated liver contouring using limited data.
Humans Liver Feasibility Studies Tomography, X-Ray Computed Radiotherapy Planning, Computer-Assisted Deep Learning Liver Neoplasms
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