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Found 4 papers, 0 papers with code
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images
Conventional reconstruction algorithms can be used if the X-ray data are adequately sampled and of high quality; however, concerns such as reducing dose to the patient, or geometric limitations on data acquisition, may result in low quality or incomplete data.
Neural Representations of Cryo-EM Maps and a Graph-Based Interpretation
Our graph-based interpretations of 115 experimental cryo-EM maps from 1. 15 to 4. 0 Angstrom resolution provide high coverage of the underlying amino acid residue locations, while accuracy of nodes is correlated with resolution.
Artificial Intelligence Advances for De Novo Molecular Structure Modeling in Cryo-EM
Cryo-electron microscopy (cryo-EM) has become a major experimental technique to determine the structures of large protein complexes and molecular assemblies, as evidenced by the 2017 Nobel Prize.
A Raspberry Pi-based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram
The increasing affordability and reduction in size of relatively high-performance computing systems combined with promising results from TBI related machine learning research make it possible to create compact and portable systems for early detection of TBI.
