AIMC Topic: Humans

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Patient-attentive sequential strategy for perimetry-based visual field acquisition.

Medical image analysis Mar 23, 2019
Perimetry is a non-invasive clinical psychometric examination used for diagnosing ophthalmic and neurological conditions. At its core, perimetry relies on a subject pressing a button whenever they see a visual stimulus within their field of view. Thi...
Algorithms Psychometrics Visual Fields Visual Field Tests Monte Carlo Method Humans Neural Networks, Computer Glaucoma
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Kirsch's, and everyone's, bind: How to build models for the wild?

Cognitive processing Mar 23, 2019
Alexandra Kirsch proposed a general formal model of decision making. She proposed it as a model both of human psychology and of artificial intelligence. As one might expect, and as Don Ross explicated, this is a challenging, albeit fascinating, posit...
Humans Artificial Intelligence Probability Female Cognitive Science Decision Making
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Automatic knee meniscus tear detection and orientation classification with Mask-RCNN.

Diagnostic and interventional imaging Mar 23, 2019
PURPOSE: This work presents our contribution to a data challenge organized by the French Radiology Society during the Journées Francophones de Radiologie in October 2018. This challenge consisted in classifying MR images of the knee with respect to t...
Magnetic Resonance Imaging Humans Datasets as Topic Neural Networks, Computer Tibial Meniscus Injuries
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Automated discovery of GPCR bioactive ligands.

Current opinion in structural biology Mar 23, 2019
While G-protein-coupled receptors (GPCRs) constitute the largest class of membrane proteins, structures and endogenous ligands of a large portion of GPCRs remain unknown. Because of the involvement of GPCRs in various signaling pathways and physiolog...
Protein Conformation Humans Molecular Dynamics Simulation Machine Learning Drug Design Ligands Molecular Docking Simulation Drug Discovery Receptors, G-Protein-Coupled
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Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring.

IEEE transactions on medical imaging Mar 22, 2019
Estimating over-amplification of human epidermal growth factor receptor 2 (HER2) on invasive breast cancer is regarded as a significant predictive and prognostic marker. We propose a novel deep reinforcement learning (DRL)-based model that treats imm...
Receptor, ErbB-2 Image Interpretation, Computer-Assisted Immunohistochemistry Female Breast Neoplasms Biomarkers, Tumor Deep Learning Breast Humans Algorithms
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TeTrIS: Template Transformer Networks for Image Segmentation With Shape Priors.

IEEE transactions on medical imaging Mar 22, 2019
In this paper, we introduce and compare different approaches for incorporating shape prior information into neural network-based image segmentation. Specifically, we introduce the concept of template transformer networks, where a shape template is de...
Humans Neural Networks, Computer Coronary Vessels Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted
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A predictive model for the evaluation of flavor attributes of raw and cooked beef based on sensor array analyses.

Food research international (Ottawa, Ont.) Mar 22, 2019
There are currently no standardized objective measures to evaluate beef flavor attributes, especially the comparison between raw beef and cooked beef. Beef flavor attribute is one of the most significant parameters for consumers. This study described...
Cluster Analysis Food Preferences Algorithms Models, Statistical Raw Foods Humans Red Meat Odorants Taste Cooking Neural Networks, Computer Young Adult Adult
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The best predictor of ischemic coronary stenosis: subtended myocardial volume, machine learning-based FFR, or high-risk plaque features?

European radiology Mar 22, 2019
OBJECTIVES: The present study aimed to compare the diagnostic performance of a machine learning (ML)-based FFR algorithm, quantified subtended myocardial volume, and high-risk plaque features for predicting if a coronary stenosis is hemodynamically s...
Tomography, X-Ray Computed Female Male Machine Learning Retrospective Studies Plaque, Atherosclerotic Coronary Stenosis Fractional Flow Reserve, Myocardial Middle Aged Coronary Angiography Myocardial Ischemia Humans
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Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 22, 2019
Deep learning techniques have been extensively used in computerized pulmonary nodule analysis in recent years. Many reported studies still utilized hybrid methods for diagnosis, in which convolutional neural networks (CNNs) are used only as one part ...
Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Male Humans Diagnosis, Computer-Assisted Databases, Factual Neural Networks, Computer Deep Learning Tomography, X-Ray Computed Female
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Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks.

International journal of computer assisted radiology and surgery Mar 22, 2019
PURPOSE: Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine learning algorithms can be used to address the inverse problem of converting pixel-wise multispectral reflectan...
Neural Networks, Computer Machine Learning Algorithms Humans Optical Imaging Uncertainty
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