AIMC Topic:
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Assisted phase and step annotation for surgical videos.

International journal of computer assisted radiology and surgery Feb 10, 2020
PURPOSE: Annotation of surgical videos is a time-consuming task which requires specific knowledge. In this paper, we present and evaluate a deep learning-based method that includes pre-annotation of the phases and steps in surgical videos and user as...
Humans Neural Networks, Computer Workflow Cholecystectomy Deep Learning Cataract Extraction Software Algorithms
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The Role of Augmented Intelligence (AI) in Detecting and Preventing the Spread of Novel Coronavirus.

Journal of medical systems Feb 4, 2020
Pandemics COVID-19 Artificial Intelligence Software Public Opinion Betacoronavirus Humans Pneumonia, Viral SARS-CoV-2 Neural Networks, Computer Coronavirus Infections
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Mu-net: Multi-scale U-net for two-photon microscopy image denoising and restoration.

Neural networks : the official journal of the International Neural Network Society Jan 31, 2020
Advances in two two-photon microscopy (2PM) have made three-dimensional (3D) neural imaging of deep cortical regions possible. However, 2PM often suffers from poor image quality because of various noise factors, including blur, white noise, and photo...
Microscopy, Fluorescence, Multiphoton Image Processing, Computer-Assisted Signal-To-Noise Ratio Neural Networks, Computer Software Imaging, Three-Dimensional
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PiNN: A Python Library for Building Atomic Neural Networks of Molecules and Materials.

Journal of chemical information and modeling Jan 29, 2020
Atomic neural networks (ANNs) constitute a class of machine learning methods for predicting potential energy surfaces and physicochemical properties of molecules and materials. Despite many successes, developing interpretable ANN architectures and im...
Neural Networks, Computer Machine Learning Gene Library Software Computer Simulation
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Medi-Care AI: Predicting medications from billing codes via robust recurrent neural networks.

Neural networks : the official journal of the International Neural Network Society Jan 23, 2020
In this paper, we present an effective deep prediction framework based on robust recurrent neural networks (RNNs) to predict the likely therapeutic classes of medications a patient is taking, given a sequence of diagnostic billing codes in their reco...
Humans Clinical Coding Neural Networks, Computer Software
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Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks.

Metabolomics : Official journal of the Metabolomic Society Jan 21, 2020
INTRODUCTION: Metabolomics data is commonly modelled multivariately using partial least squares discriminant analysis (PLS-DA). Its success is primarily due to ease of interpretation, through projection to latent structures, and transparent assessmen...
Neural Networks, Computer Software Metabolomics Least-Squares Analysis Discriminant Analysis
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[Trends of development in CT and MRI doagnostics].

Magyar onkologia Jan 20, 2020
Modern imaging processes, with CT and MRI diagnostics among them, play an increasingly important role in the early diagnosis and determination of the extent and nature of illnesses and the evaluation of their response to therapy. The authors review t...
Magnetic Resonance Imaging Software Tomography, X-Ray Computed Humans Artificial Intelligence
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Machine learning approaches for analyzing and enhancing molecular dynamics simulations.

Current opinion in structural biology Jan 20, 2020
Molecular dynamics (MD) has become a powerful tool for studying biophysical systems, due to increasing computational power and availability of software. Although MD has made many contributions to better understanding these complex biophysical systems...
Molecular Dynamics Simulation Algorithms Models, Theoretical Machine Learning Software Neural Networks, Computer
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Stochastic rounding and reduced-precision fixed-point arithmetic for solving neural ordinary differential equations.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Jan 20, 2020
Although double-precision floating-point arithmetic currently dominates high-performance computing, there is increasing interest in smaller and simpler arithmetic types. The main reasons are potential improvements in energy efficiency and memory foot...
Stochastic Processes Software Humans Algorithms Machine Learning Models, Neurological Computer Simulation Action Potentials
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Improved protein structure prediction using potentials from deep learning.

Nature Jan 15, 2020
Protein structure prediction can be used to determine the three-dimensional shape of a protein from its amino acid sequence. This problem is of fundamental importance as the structure of a protein largely determines its function; however, protein str...
Protein Conformation Protein Folding Models, Molecular Amino Acid Sequence Caspases Datasets as Topic Deep Learning Proteins Software
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