AIMC Topic:
Databases, Factual

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Single-view 2D CNNs with fully automatic non-nodule categorization for false positive reduction in pulmonary nodule detection.

Computer methods and programs in biomedicine Aug 31, 2018
BACKGROUND AND OBJECTIVE: In pulmonary nodule detection, the first stage, candidate detection, aims to detect suspicious pulmonary nodules. However, detected candidates include many false positives and thus in the following stage, false positive redu...
Lung Neoplasms Databases, Factual Solitary Pulmonary Nodule False Positive Reactions Humans Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Neural Networks, Computer Diagnosis, Computer-Assisted
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Methodological variations in lagged regression for detecting physiologic drug effects in EHR data.

Journal of biomedical informatics Aug 30, 2018
We studied how lagged linear regression can be used to detect the physiologic effects of drugs from data in the electronic health record (EHR). We systematically examined the effect of methodological variations ((i) time series construction, (ii) tem...
Regression Analysis Humans Area Under Curve Reproducibility of Results Machine Learning Pharmaceutical Preparations Time Factors Data Collection Databases, Factual ROC Curve Electronic Health Records Academic Medical Centers New York City Linear Models Drug Therapy
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Distant supervision for relation extraction with hierarchical selective attention.

Neural networks : the official journal of the International Neural Network Society Aug 29, 2018
Distant supervised relation extraction is an important task in the field of natural language processing. There are two main shortcomings for most state-of-the-art methods. One is that they take all sentences of an entity pair as input, which would re...
Language Natural Language Processing Attention Humans Databases, Factual
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Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery.

Journal of chemical information and modeling Aug 28, 2018
The new wave of successful generative models in machine learning has increased the interest in deep learning driven de novo drug design. However, method comparison is difficult because of various flaws of the currently employed evaluation metrics. We...
Drug Discovery Deep Learning Models, Molecular Software Databases, Factual Computer Simulation
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Domain Wall Motion-Based Dual-Threshold Activation Unit for Low-Power Classification of Non-Linearly Separable Functions.

IEEE transactions on biomedical circuits and systems Aug 27, 2018
Recently, a great deal of scientific endeavour has been devoted to developing spin-based neuromorphic platforms owing to the ultra-low-power benefits offered by spin devices and the inherent correspondence between spintronic phenomena and the desired...
Humans Neural Networks, Computer Algorithms Neurons Databases, Factual Models, Neurological Equipment Design
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Machine learning and modeling: Data, validation, communication challenges.

Medical physics Aug 24, 2018
With the era of big data, the utilization of machine learning algorithms in radiation oncology is rapidly growing with applications including: treatment response modeling, treatment planning, contouring, organ segmentation, image-guidance, motion tra...
Radiation Oncology Databases, Factual Medical Informatics Machine Learning Reproducibility of Results Communication
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Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach.

IEEE journal of biomedical and health informatics Aug 23, 2018
Parkinson's disease is a neurodegenerative disorder characterized by a variety of motor symptoms. Particularly, difficulties to start/stop movements have been observed in patients. From a technical/diagnostic point of view, these movement changes can...
Deep Learning Speech ROC Curve Aged, 80 and over Male Middle Aged Gait Gait Analysis Handwriting Image Processing, Computer-Assisted Parkinson Disease Signal Processing, Computer-Assisted Humans Databases, Factual Female Aged
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Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration.

IEEE transactions on medical imaging Aug 21, 2018
With an aim to increase the capture range and accelerate the performance of state-of-the-art inter-subject and subject-to-template 3-D rigid registration, we propose deep learning-based methods that are trained to find the 3-D position of arbitrarily...
Magnetic Resonance Imaging Fetus Infant, Newborn Deep Learning Image Processing, Computer-Assisted Pregnancy Humans Female Algorithms Databases, Factual Brain
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Deep Neural Representation Guided Face Sketch Synthesis.

IEEE transactions on visualization and computer graphics Aug 20, 2018
Face sketch synthesis shows great applications in a lot of fields such as online entertainment and suspects identification. Existing face sketch synthesis methods learn the patch-wise sketch style from the training dataset containing photo-sketch pai...
Face Computer Graphics Art Algorithms Humans Databases, Factual Neural Networks, Computer Image Processing, Computer-Assisted
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Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.

IEEE transactions on bio-medical engineering Aug 20, 2018
In this paper, we present a novel framework for dermoscopy image recognition via both a deep learning method and a local descriptor encoding strategy. Specifically, deep representations of a rescaled dermoscopy image are first extracted via a very de...
Deep Learning Support Vector Machine Image Interpretation, Computer-Assisted Melanoma Humans Skin Neoplasms Algorithms Dermoscopy Databases, Factual
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