AIMC Topic: Carbon Isotopes

Clear Filters Showing 11 to 14 of 14 articles

Unsupervised Segmentation of 5D Hyperpolarized Carbon-13 MRI Data Using a Fuzzy Markov Random Field Model.

IEEE transactions on medical imaging Sep 4, 2017
Hyperpolarized MRI with C-labelled compounds is an emerging clinical technique allowing in vivo metabolic processes to be characterized non-invasively. Accurate quantification of C data, both for clinical and research purposes, typically relies on th...
Algorithms Computer Simulation Animals Rats Contrast Media Magnetic Resonance Imaging Fuzzy Logic Models, Statistical Unsupervised Machine Learning Markov Chains Image Interpretation, Computer-Assisted Neoplasms, Experimental Phantoms, Imaging Carbon Isotopes
View on PubMed DOI

Artificial Intelligence Applied to Honey C NMR Data: A New Path for Honey Recognition.

Journal of agricultural and food chemistry Jul 30, 2025
Besides food authentication control based on acknowledged analytical methods, nowadays there is a continuous attempt to develop new approaches for unambiguously differentiating distinct food commodities. In this regard, current tendencies involve Art...
Artificial Intelligence Food Contamination Honey France Magnetic Resonance Spectroscopy Romania Carbon Isotopes
View on PubMed DOI

High Accuracy of Convolutional Neural Network for Evaluation of Helicobacter pylori Infection Based on Endoscopic Images: Preliminary Experience.

Clinical and translational gastroenterology Dec 1, 2019
OBJECTIVES: Application of artificial intelligence in gastrointestinal endoscopy is increasing. The aim of the study was to examine the accuracy of convolutional neural network (CNN) using endoscopic images for evaluating Helicobacter pylori (H. pylo...
Humans Retrospective Studies Female Adult Male Middle Aged Deep Learning Pilot Projects ROC Curve Decision Support Systems, Clinical Image Processing, Computer-Assisted Biopsy Endoscopy, Gastrointestinal Helicobacter Infections Helicobacter pylori Gastroscopy Gastric Mucosa Breath Tests Carbon Isotopes
View on PubMed DOI

Protein structural information derived from NMR chemical shift with the neural network program TALOS-N.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
Chemical shifts are obtained at the first stage of any protein structural study by NMR spectroscopy. Chemical shifts are known to be impacted by a wide range of structural factors, and the artificial neural network based TALOS-N program has been trai...
Neural Networks, Computer Software Proteomics Proteins Models, Molecular Protein Conformation Nuclear Magnetic Resonance, Biomolecular Carbon Isotopes
View on PubMed DOI
Popular Topics
Recent Journals