AIMC Topic: Metals

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Using support vector machines to improve elemental ion identification in macromolecular crystal structures.

Acta crystallographica. Section D, Biological crystallography Apr 25, 2015
In the process of macromolecular model building, crystallographers must examine electron density for isolated atoms and differentiate sites containing structured solvent molecules from those containing elemental ions. This task requires specific know...
Support Vector Machine Models, Molecular Iron Nickel Calcium Macromolecular Substances Algorithms Zinc Metals Manganese Crystallography, X-Ray Protein Conformation
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Data Mining and Machine Learning Tools for Combinatorial Material Science of All-Oxide Photovoltaic Cells.

Molecular informatics Mar 20, 2015
Growth in energy demands, coupled with the need for clean energy, are likely to make solar cells an important part of future energy resources. In particular, cells entirely made of metal oxides (MOs) have the potential to provide clean and affordable...
Oxides Data Mining Solar Energy Machine Learning Metals Models, Theoretical
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Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms.

New biotechnology Sep 16, 2014
We investigated the bioremoval of Cd(II) in batch mode, using dead and living biomass of Trichoderma viride. Kinetic studies revealed three distinct stages of the biosorption process. The pseudo-second order model and the Langmuir model described wel...
Thermodynamics Trichoderma Ions Cadmium Solutions Biomass Algorithms Metals Water Purification Models, Theoretical Temperature Water Pollutants, Chemical Support Vector Machine Hydrogen-Ion Concentration Spectroscopy, Fourier Transform Infrared
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Advancement of an automatic segmentation pipeline for metallic artifact removal in post-surgical ACL MRI.

Magnetic resonance imaging Sep 1, 2025
Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-tearing an anterior cruciate ligament (ACL) using a combination of imaging signal intensity (SI) and cross-sectional area measurements of the healing AC...
Metals Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Adult Sensitivity and Specificity Male Anterior Cruciate Ligament Reconstruction Artifacts Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Humans Algorithms Female Reproducibility of Results Young Adult
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CALIMAR-GAN: An unpaired mask-guided attention network for metal artifact reduction in CT scans.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 1, 2025
High-quality computed tomography (CT) scans are essential for accurate diagnostic and therapeutic decisions, but the presence of metal objects within the body can produce distortions that lower image quality. Deep learning (DL) approaches using image...
Deep Learning Metals Image Processing, Computer-Assisted Artifacts Humans Algorithms Tomography, X-Ray Computed
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Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles.

Dento maxillo facial radiology Feb 1, 2025
OBJECTIVES: To develop and evaluate a deep learning (DL) model to reduce metal artefacts originating from the exomass in cone-beam CT (CBCT) of the jaws.
Mandible Dental Implants Artifacts Animals Swine Deep Learning Metals Cone-Beam Computed Tomography
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[Deep Learning Reconstruction Algorithm Combined With Smart Metal Artifact Reduction Technique Improves Image Quality of Upper Abdominal CT in Critically Ill Patients].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Nov 20, 2024
OBJECTIVE: To evaluate the effect of deep learning reconstruction algorithm combined with smart metal artifact reduction (DLMAR) on the quality of abdominal CT images in critically ill patients who are unable to raise their arms and require electroca...
Retrospective Studies Tomography, X-Ray Computed Critical Illness Female Humans Algorithms Image Processing, Computer-Assisted Artifacts Signal-To-Noise Ratio Radiography, Abdominal Middle Aged Deep Learning Metals Aged Adult Male
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[Migration of Metals Contained in Laminated Films for Food Packaging].

Shokuhin eiseigaku zasshi. Journal of the Food Hygienic Society of Japan Jan 1, 2024
Multilayer laminated films are widely used as food packaging materials. The substances contained in these films have the potential to migrate into food in contact, but the actual situation is unknown. In this study, we first determined the contents o...
Food Analysis Aluminum Tin Metals Mass Spectrometry Food Packaging Food Contamination
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[Metal artifact reduction and clinical verification in oral and maxillofacial region based on deep learning].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology Jun 9, 2023
To construct a kind of neural network for eliminating the metal artifacts in CT images by training the generative adversarial networks (GAN) model, so as to provide reference for clinical practice. The CT data of patients treated in the Department ...
Deep Learning Metals Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Tomography, X-Ray Computed Titanium Humans
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Identification of metal ion-binding sites in RNA structures using deep learning method.

Briefings in bioinformatics Mar 19, 2023
Metal ion is an indispensable factor for the proper folding, structural stability and functioning of RNA molecules. However, it is very difficult for experimental methods to detect them in RNAs. With the increase of experimentally resolved RNA struct...
Deep Learning Metals RNA Ions Binding Sites Neural Networks, Computer
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