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https://www.readbyqxmd.com/read/28742039/reconstructing-interlaced-high-dynamic-range-video-using-joint-learning
#1
Inchang Choi, Seung-Hwan Baek, Min H Kim
For extending the dynamic range of video, it is a common practice to capture multiple frames sequentially with different exposures and combine them to extend the dynamic range of each video frame. However, this approach results in typical ghosting artifacts due to fast and complex motion in nature. As an alternative, video imaging with interlaced exposures has been introduced to extend the dynamic range. However, the interlaced approach has been hindered by jaggy artifacts and sensor noise, leading to concerns over image quality...
July 24, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28742035/fast-low-rank-shared-dictionary-learning-for-image-classification
#2
Tiep Huu Vu, Vishal Monga
Despite the fact that different objects possess distinct class-specific features, they also usually share common patterns. This observation has been exploited partially in a recently proposed dictionary learning framework by separating the particularity and the commonality (COPAR). Inspired by this, we propose a novel method to explicitly and simultaneously learn a set of common patterns as well as class-specific features for classification with more intuitive constraints. Our dictionary learning framework is hence characterized by both a shared dictionary and particular (class-specific) dictionaries...
July 20, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28739560/ontology-based-approach-to-social-data-sentiment-analysis-detection-of-adolescent-depression-signals
#3
Hyesil Jung, Hyeoun-Ae Park, Tae-Min Song
BACKGROUND: Social networking services (SNSs) contain abundant information about the feelings, thoughts, interests, and patterns of behavior of adolescents that can be obtained by analyzing SNS postings. An ontology that expresses the shared concepts and their relationships in a specific field could be used as a semantic framework for social media data analytics. OBJECTIVE: The aim of this study was to refine an adolescent depression ontology and terminology as a framework for analyzing social media data and to evaluate description logics between classes and the applicability of this ontology to sentiment analysis...
July 24, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28738727/the-home-as-ethos-of-caring-a-concept-determination
#4
Yvonne Hilli, Katie Eriksson
BACKGROUND: Within nursing, the concepts of home and homelike have been used indiscriminately to describe characteristics of healthcare settings that resemble a home more than an institution. OBJECTIVES: The aim of this study was to investigate the concept of home ( hem in Swedish). The main questions were as follows: What does the concept of home entail etymologically and semantically? Of what significance is the meaning of the concept to caring science and nursing? DESIGN AND METHODS: This study had a qualitative design with a hermeneutical approach guided by Gadamer...
January 1, 2017: Nursing Ethics
https://www.readbyqxmd.com/read/28736917/true-constructive-interference-in-the-steady-state-trueciss
#5
Tom Hilbert, Damien Nguyen, Jean-Philippe Thiran, Gunnar Krueger, Tobias Kober, Oliver Bieri
PURPOSE: To introduce a novel time-efficient method, termed true constructive interference in the steady state (trueCISS), that not only solves the problem of banding artifacts for balanced steady-state free precession (bSSFP) but also provides its genuine, that is, true, on-resonant signal. METHODS: After a compressed sensing reconstruction from a set of highly undersampled phase-cycled bSSFP scans, the local off-resonance, relaxation time ratio, and equilibrium magnetization are voxel-wise estimated using a dictionary-based fitting routine...
July 24, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28734530/joint-optic-disc-and-cup-boundary-extraction-from-monocular-fundus-images
#6
Arunava Chakravarty, Jayanthi Sivaswamy
BACKGROUND AND OBJECTIVE: Accurate segmentation of optic disc and cup from monocular color fundus images plays a significant role in the screening and diagnosis of glaucoma. Though optic cup is characterized by the drop in depth from the disc boundary, most existing methods segment the two structures separately and rely only on color and vessel kink based cues due to the lack of explicit depth information in color fundus images. METHODS: We propose a novel boundary-based Conditional Random Field formulation that extracts both the optic disc and cup boundaries in a single optimization step...
August 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28732126/chinese-isms-dimensions-in-mainland-china-and-taiwan-convergence-and-extension-of-american-isms-dimensions
#7
Zhuo Job Chen, Kung-Yu Hsu, Xinyue Zhou, Gerard Saucier
OBJECTIVE: Previous studies of American-English isms terms have uncovered as many as five broad factors: Tradition-oriented Religiousness (TR), Subjective Spirituality (SS), Communal Rationalism (CR), Unmitigated Self-Interest (USI), and Inequality Aversion (IA). The present studies took a similar lexical approach to investigate the Chinese-language isms structures in both mainland China and Taiwan. METHOD AND RESULTS: In Study 1, exploratory factor analyses with 915 mainland Chinese subjects uncovered four interpretable factors dimensionalizing 165 mainland Chinese dictionary isms terms...
July 21, 2017: Journal of Personality
https://www.readbyqxmd.com/read/28730125/hard-exudates-referral-system-in-eye-fundus-utilizing-speeded-up-robust-features
#8
Syed Ali Gohar Naqvi, Hafiz Muhammad Faisal Zafar, Ihsanul Haq
In the paper a referral system to assist the medical experts in the screening/referral of diabetic retinopathy is suggested. The system has been developed by a sequential use of different existing mathematical techniques. These techniques involve speeded up robust features (SURF), K-means clustering and visual dictionaries (VD). Three databases are mixed to test the working of the system when the sources are dissimilar. When experiments were performed an area under the curve (AUC) of 0.9343 was attained. The results acquired from the system are promising...
2017: International Journal of Ophthalmology
https://www.readbyqxmd.com/read/28729549/des-tomato-a-knowledge-exploration-system-focused-on-tomato-species
#9
Adil Salhi, Sónia Negrão, Magbubah Essack, Mitchell J L Morton, Salim Bougouffa, Rozaimi Razali, Aleksandar Radovanovic, Benoit Marchand, Maxat Kulmanov, Robert Hoehndorf, Mark Tester, Vladimir B Bajic
Tomato is the most economically important horticultural crop used as a model to study plant biology and particularly fruit development. Knowledge obtained from tomato research initiated improvements in tomato and, being transferrable to other such economically important crops, has led to a surge of tomato-related research and published literature. We developed DES-TOMATO knowledgebase (KB) for exploration of information related to tomato. Information exploration is enabled through terms from 26 dictionaries and combination of these terms...
July 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28727915/improving-accuracy-diversity-and-speed-with-prime-macrocycle-conformational-sampling
#10
Dan Sindhikara, Steven A Spronk, Tyler Day, Ken Borrelli, Daniel L Cheney, Shana L Posy
A novel method for exploring macrocycle conformational space, Prime Macrocycle Conformational Sampling (Prime-MCS), is introduced and evaluated in the context of other available algorithms (Molecular Dynamics, LowModeMD in MOE, and MacroModel Baseline Search). The algorithms were benchmarked on a dataset of 208 macrocycles which was curated for diversity from the Cambridge Structural Database, the Protein Databank, and the Biologically Interesting Molecule Reference Dictionary. The algorithms were evaluated in terms of accuracy (ability to reproduce the crystal structure), diversity (coverage of conformational space), and computational speed...
July 20, 2017: Journal of Chemical Information and Modeling
https://www.readbyqxmd.com/read/28717153/proton-pump-inhibitors-and-the-risk-for-fracture-at-specific-sites-data-mining-of-the-fda-adverse-event-reporting-system
#11
Liwei Wang, Mei Li, Yuying Cao, Zhengqi Han, Xueju Wang, Elizabeth J Atkinson, Hongfang Liu, Shreyasee Amin
Proton pump inhibitors (PPIs) are widely used to treat gastric acid-related disorders. Concerns have been raised about potential fracture risk, especially at the hip, spine and wrist. However, fracture risk at other bone sites has not been as well studied. We investigated the association between PPIs and specific fracture sites using an aggregated knowledge-enhanced database, the Food and Drug Administration Adverse Event Reporting System Data Mining Set (AERS-DM). Proportional reporting ratio (PRR) was used to detect statistically significant associations (signals) between PPIs and fractures...
July 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28716682/air-mrf-accelerated-iterative-reconstruction-for-magnetic-resonance-fingerprinting
#12
Christopher C Cline, Xiao Chen, Boris Mailhe, Qiu Wang, Josef Pfeuffer, Mathias Nittka, Mark A Griswold, Peter Speier, Mariappan S Nadar
Existing approaches for reconstruction of multiparametric maps with magnetic resonance fingerprinting (MRF) are currently limited by their estimation accuracy and reconstruction time. We aimed to address these issues with a novel combination of iterative reconstruction, fingerprint compression, additional regularization, and accelerated dictionary search methods. The pipeline described here, accelerated iterative reconstruction for magnetic resonance fingerprinting (AIR-MRF), was evaluated with simulations as well as phantom and in vivo scans...
July 14, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28708550/unsupervised-myocardial-segmentation-for-cardiac-bold
#13
Ilkay Oksuz, Anirban Mukhopadhyay, Rohan Dharmakumar, Sotirios A Tsaftaris
A fully automated 2D+time myocardial segmentation framework is proposed for Cardiac Magnetic Resonance (CMR) Blood-Oxygen-Level-Dependent (BOLD) datasets. Ischemia detection with CINE BOLD CMR relies on spatiotemporal patterns in myocardial intensity but these patterns also trouble supervised segmentation methods, the de-facto standard for myocardial segmentation in cine MRI. Segmentation errors severely undermine the accurate extraction of these patterns. In this paper we build a joint motion and appearance method that relies on dictionary learning to find a suitable subspace...
July 12, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28698988/medication-errors-a-characterisation-of-spontaneously-reported-cases-in-eudravigilance
#14
Victoria Newbould, Steven Le Meur, Thomas Goedecke, Xavier Kurz
INTRODUCTION: Medication errors recently became the focus of regulatory guidance in pharmacovigilance to support reporting, evaluation and prevention of medication errors. OBJECTIVE: This study aims to characterise spontaneously reported cases of medication errors in EudraVigilance over the period 2002-2015 before the release of EU good practice guidance. METHODS: Case reports were identified through the adverse reaction section where a Medical Dictionary for Regulatory Activities (MedDRA(®)) term is reported and included in the Standardised MedDRA(®) Query (SMQ) for medication errors...
July 11, 2017: Drug Safety: An International Journal of Medical Toxicology and Drug Experience
https://www.readbyqxmd.com/read/28692988/discriminative-transfer-learning-using-similarities-and-dissimilarities
#15
Ying Lu, Liming Chen, Alexandre Saidi, Emmanuel Dellandrea, Yunhong Wang
Transfer learning (TL) aims at solving the problem of learning an effective classification model for a target category, which has few training samples, by leveraging knowledge from source categories with far more training data. We propose a new discriminative TL (DTL) method, combining a series of hypotheses made by both the model learned with target training samples and the additional models learned with source category samples. Specifically, we use the sparse reconstruction residual as a basic discriminant and enhance its discriminative power by comparing two residuals from a positive and a negative dictionary...
July 4, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28692964/joint-semantic-and-latent-attribute-modelling-for-cross-class-transfer-learning
#16
Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Tiejun Huang
A number of vision problems such as zero-shot learning and person re-identification can be considered as cross-class transfer learning problems. As mid-level semantic properties shared cross different object classes, attributes have been studied extensively for knowledge-transfer across classes. Most previous attribute learning methods focus only on human-defined/nameable semantic attributes, whilst ignoring the fact there also exist undefined/latent shareable visual properties, or latent attributes. These latent attributes can be either discriminative or non-discriminative parts depending on whether they can contribute to an object recognition task...
July 6, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28691218/safety-of-a-pasteurized-plasma-derived-factor-viii-and-von-willebrand-factor-concentrate-analysis-of-33-years-of-pharmacovigilance-data
#17
Peter Kouides, Kathrin Wawra-Hehenberger, Anna Sajan, Henry Mead, Toby Simon
BACKGROUND: Haemate-P/Humate-P (Humate-P) is a pasteurized human plasma-derived concentrate containing both Factor VIII and von Willebrand factor for treatment of hemophilia A and von Willebrand disease (VWD). STUDY DESIGN AND METHODS: We analyzed the safety of Humate-P based on more than 33 years of postmarketing pharmacovigilance data, representing an estimated exposure of approximately 25,000 patient-years. The analysis comprises reports of potential adverse drug reactions (ADRs) from all sources, reported as part of routine pharmacovigilance at CSL Behring...
July 10, 2017: Transfusion
https://www.readbyqxmd.com/read/28690670/sparse-representation-based-multi-instance-learning-for-breast-ultrasound-image-classification
#18
Lu Bing, Wei Wang
We propose a novel method based on sparse representation for breast ultrasound image classification under the framework of multi-instance learning (MIL). After image enhancement and segmentation, concentric circle is used to extract the global and local features for improving the accuracy in diagnosis and prediction. The classification problem of ultrasound image is converted to sparse representation based MIL problem. Each instance of a bag is represented as a sparse linear combination of all basis vectors in the dictionary, and then the bag is represented by one feature vector which is obtained via sparse representations of all instances within the bag...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28689174/construct-validity-and-test-retest-reliability-of-the-revised-upper-extremity-work-demands-uewd-r-scale
#19
Miriam A Cavalini, Redmar J Berduszek, Corry K van der Sluis
BACKGROUND: The revised Upper Extremity Work Demand (UEWD-R) Scale is a six-item self-report questionnaire to measure the workload of the upper limbs. UEWD-R consists of a force/posture scale and a repetition scale. Psychometric properties are unknown so far. PURPOSE: Assess the construct validity and the test-retest reliability of UEWD-R. METHOD: Participants from different levels of physical work demands (based on the Dictionary of Occupational Titles (DOT) categories) were included...
July 8, 2017: Occupational and Environmental Medicine
https://www.readbyqxmd.com/read/28687199/leveraging-syntax-to-better-capture-the-semantics-of-elliptical-coordinated-compound-noun-phrases
#20
Catherine Blake, Tom Rindflesch
Full-text scientific articles are increasingly available, but capturing the meaning conveyed within an article automatically remains a bottleneck for semantic search and reasoning systems. In this paper we consider elliptical coordinated compound noun phrases that authors use to save space in an article. Systems that do not attend to coordination would incorrectly interpret "breast or lung cancer" as a body part (breast) and a disease (lung cancer) rather than two diseases. The algorithmic approach introduced in this paper uses a generate-and-test strategy where candidate expansions for forward, backward and complex ellipses are generated from syntactic dependencies...
July 4, 2017: Journal of Biomedical Informatics
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