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Jeongeun Lee, Hyun-Je Song, Eunsil Yoon, Seong-Bae Park, Sung-Hye Park, Jeong-Wook Seo, Peom Park, Jinwook Choi
BACKGROUND: Pathology reports are written in free-text form, which precludes efficient data gathering. We aimed to overcome this limitation and design an automated system for extracting biomarker profiles from accumulated pathology reports. METHODS: We designed a new data model for representing biomarker knowledge. The automated system parses immunohistochemistry reports based on a "slide paragraph" unit defined as a set of immunohistochemistry findings obtained for the same tissue slide...
May 21, 2018: BMC Medical Informatics and Decision Making
Ali Pirasteh, Qing Yuan, Diego Hernando, Scott B Reeder, Ivan Pedrosa, Takeshi Yokoo
PURPOSE: To assess the reproducibility of biexponential R2 -relaxometry MRI for estimation of liver iron concentration (LIC) between proprietary and nonproprietary analysis methods. METHODS: This single-center retrospective study, approved by investigational review board and compliant with the Health Insurance Portability and Accountability Act, included 40 liver MRI exams in 38 subjects with suspected or known iron overload. From spin-echo images of the liver, acquired at 5 different echo times (TE = 6-18 ms), biexponential R2 maps were calculated using 1 proprietary (FerriScan, Resonance Health Ltd...
May 16, 2018: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
Nannan Yu, Ying Chen, Lingling Wu, Hanbing Lu
Estimating single-trial evoked potentials (EPs) corrupted by the spontaneous electroencephalogram (EEG) can be regarded as signal denoising problem. Sparse coding has significant success in signal denoising and EPs have been proven to have strong sparsity over an appropriate dictionary. In sparse coding, the noise generally is considered to be a Gaussian random process. However, some studies have shown that the background noise in EPs may present an impulsive characteristic which is far from Gaussian but suitable to be modeled by the α -stable distribution (1 < α ≤ 2)...
2018: Computational Intelligence and Neuroscience
M Pérez-Albacete
INTRODUCTION AND OBJECTIVES: We researched the start of urological specialisation in Spain, from the end of the 19th century to the institution of the education system (resident medical intern) to learn about the centres and individuals who created the urological teaching units and training schools in which the first Spanish urologists specialised their training. MATERIAL AND METHODS: We extracted the references from books on the history of urology, from periodic urological publications and from the posters on history submitted to the congresses of the Spanish Urological Association and filled in the data and dates with the Historical Dictionary of Spanish Urologists...
May 11, 2018: Actas Urologicas Españolas
Yang Li, Xiaohai He, Qizhi Teng, Junxi Feng, Xiaohong Wu
A superdimension reconstruction algorithm is used for the reconstruction of three-dimensional (3D) structures of a porous medium based on a single two-dimensional image. The algorithm borrows the concepts of "blocks," "learning," and "dictionary" from learning-based superresolution reconstruction and applies them to the 3D reconstruction of a porous medium. In the neighborhood-matching process of the conventional superdimension reconstruction algorithm, the Euclidean distance is used as a criterion, although it may not really reflect the structural correlation between adjacent blocks in an actual situation...
April 2018: Physical Review. E
Haijun Liu, Jian Cheng, Feng Wang
This paper develops a novel sequential subspace clustering method for sequential data. Inspired by the state-of-the-art methods, ordered subspace clustering, and temporal subspace clustering, we design a novel local temporal regularization term based on the concept of temporal predictability. Through minimizing the short-term variance on historical data, it can recover the temporal smoothness relationships in sequential data. Moreover, we claim that the local temporal regularization is more important than the global structural regularization for a specific task, such as sequential subspace clustering, which leads to a concise minimization objective function...
February 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Homa Foroughi, Nilanjan Ray, Hong Zhang
For an object classification system, the most critical obstacles toward real-world applications are often caused by large intra-class variability, arising from different lightings, occlusion, and corruption, in limited sample sets. Most methods in the literature would fail when the training samples are heavily occluded, corrupted or have significant illumination or viewpoint variations. Besides, most of the existing methods and especially deep learning-based methods, need large training sets to achieve a satisfactory recognition performance...
February 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Jose Bellido, Alain Pottage
The third edition of Webster's International Dictionary, first published in 1961, represented a novel approach to lexicography. It recorded the English language used in everyday life, incorporating colloquial terms that previous grammarians would have considered unfit for any responsible dictionary. Many were scandalized by the new lexicography. Trademark lawyers were not the most prominent of these critics, but the concerns they expressed are significant because they touched on the core structure of the trademark as a form of property in language...
May 1, 2018: History of Science; An Annual Review of Literature, Research and Teaching
Ouri Cohen, Shuning Huang, Michael T McMahon, Matthew S Rosen, Christian T Farrar
PURPOSE: To develop a fast magnetic resonance fingerprinting (MRF) method for quantitative chemical exchange saturation transfer (CEST) imaging. METHODS: We implemented a CEST-MRF method to quantify the chemical exchange rate and volume fraction of the Nα -amine protons of L-arginine (L-Arg) phantoms and the amide and semi-solid exchangeable protons of in vivo rat brain tissue. L-Arg phantoms were made with different concentrations (25-100 mM) and pH (pH 4-6)...
May 13, 2018: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
Ho-Wuk Kim, Fuh-Gwo Yuan
Waveforms received by sensors resulting from multiple wavepaths overlap and are hard to interpret. Because of this difficulty, they are usually intentionally ignored, thereby only the first arrival of wave mode being used for damage localization. This article proposes an imaging algorithm for damage localization by incorporating multiple wavepaths using piezoelectric wafers affixed on a metallic plate. Matching pursuit (MP) algorithm to enhance image quality is adopted for separating each wave packet individually...
April 24, 2018: Ultrasonics
Yonghong Xu, Shaowei Zhang, Jun Jing, Yong Zhao, Feixiang Hou
A fitting method of calculating local helix parameters of proteins based on dual quaternions registration fitting (DQRFit) is proposed in this paper. First, the C and N atom coordinates of each residue in the protein structure data are extracted. Then the unregistered data and reference data are constructed using the sliding windows. The square sum of the distance of the data points before and after registration is regarded as an optimization goal. We calculate the optimal rotation matrix and the translation vector using the dual quaternion registration algorithm, and get the helix parameters of the secondary structure which contain the number of residues per turn( τ ), helix radius( ρ )and helix pitch( p )...
February 1, 2018: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
Peng Bao, Jiliu Zhou, Yi Zhang
Classical total variation (TV) based iterative reconstruction algorithms is effective for the reconstruction of piecewise smooth image, but it causes over-smoothing effect for textured regions in the reconstructed image. To address this problem, this work presents a novel computed tomography (CT) reconstruction method for the few-view problem called the group-sparsity regularization-based simultaneous algebraic reconstruction technique (GSR-SART). Group-based sparse representation, which utilizes the concept of a group as the basic unit of sparse representation instead of a patch, is introduced as the image domain prior regularization term to eliminate the over-smoothing effect...
May 8, 2018: International Journal for Numerical Methods in Biomedical Engineering
Florence van Hunsel, Sonja van de Koppel, Eugène van Puijenbroek, Agnes Kant
INTRODUCTION: In the literature, vitamin B6 has been linked to the development of polyneuropathy. Most often, these complaints were seen when taking high doses of vitamin B6 for a long time. Evidence as to whether a lower dosage range of vitamin B6 (< 50 mg/day) can also induce neuropathy is scarce. OBJECTIVE: We aim to comprehensively describe the cases of neuropathy associated with vitamin B6 received by the Netherlands Pharmacovigilance Centre Lareb and to assess the case series concerning the use of vitamin B6 and neuropathic complaints...
May 8, 2018: Drug Safety: An International Journal of Medical Toxicology and Drug Experience
Kobi T Nathan, Kelly M Conn, Robbert P van Manen, Jack E Brown
PURPOSE: The potential link between serious or life-threatening bleeding and the use of direct oral anticoagulants (DOACs) was evaluated. METHODS: Qualitative and quantitative reviews of case reports of bleeding events involving dabigatran, rivaroxaban, apixaban, edoxaban, and warfarin through March 31, 2017, were performed. A disproportionality analysis was conducted for each DOAC using an empirical Bayesian approach based on the relative reporting rate. Subanalyses were performed to assess (1) bleeding events (including mortality and life-threatening events) associated with DOACs among all adverse-event reports and (2) warfarin-related bleeding events...
May 7, 2018: American Journal of Health-system Pharmacy: AJHP
Zhi Gao, Mingjie Lao, Yongsheng Sang, Fei Wen, Bharath Ramesh, Ruifang Zhai
Light detection and ranging (LiDAR) sensors have been widely deployed on intelligent systems such as unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) to perform localization, obstacle detection, and navigation tasks. Thus, research into range data processing with competitive performance in terms of both accuracy and efficiency has attracted increasing attention. Sparse coding has revolutionized signal processing and led to state-of-the-art performance in a variety of applications. However, dictionary learning, which plays the central role in sparse coding techniques, is computationally demanding, resulting in its limited applicability in real-time systems...
May 6, 2018: Sensors
Yuankai Qi, Lei Qin, Jian Zhang, Shengping Zhang, Qingming Huang, Ming-Hsuan Yang
Sparse coding has been applied to visual tracking and related vision problems with demonstrated success in recent years. Existing tracking methods based on local sparse coding sample patches from a target candidate and sparsely encode these using a dictionary consisting of patches sampled from target template images. The discriminative strength of existing methods based on local sparse coding is limited as spatial structure constraints among the template patches are not exploited. To address this problem, we propose a structure-aware local sparse coding algorithm, which encodes a target candidate using templates with both global and local sparsity constraints...
August 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Abbas Sheikhtaheri, Farzaneh Kermani
Mobile technologies have a positive impact on patient care and cause to improved decision making, reduced medical errors and improved communication in care team. The purpose of this study was to investigate the use of mobile technologies by medical and nursing students and their tendency in future. This study was conducted among 372 medical and nursing students of Tehran University of Medical Science. Respectively, 60.8% and 62.4% of medical and nursing students use smartphone. The most commonly used apps among medical students were medical dictionary, drug apps, medical calculators and anatomical atlases and among nursing students were medical dictionary, anatomical atlases and nursing care guides...
2018: Studies in Health Technology and Informatics
Bao Ge, Xiang Li, Xi Jiang, Yifei Sun, Tianming Liu
The exponential growth of fMRI big data offers researchers an unprecedented opportunity to explore functional brain networks. However, this opportunity has not been fully explored yet due to the lack of effective and efficient tools for handling such fMRI big data. One major challenge is that computing capabilities still lag behind the growth of large-scale fMRI databases, e.g., it takes many days to perform dictionary learning and sparse coding of whole-brain fMRI data for an fMRI database of average size...
2018: Frontiers in Neuroinformatics
Andrey Smelter, Hunter N B Moseley
Introduction: The Metabolomics Workbench Data Repository is a public repository of mass spectrometry and nuclear magnetic resonance data and metadata derived from a wide variety of metabolomics studies. The data and metadata for each study is deposited, stored, and accessed via files in the domain-specific 'mwTab' flat file format. Objectives: In order to improve the accessibility, reusability, and interoperability of the data and metadata stored in 'mwTab' formatted files, we implemented a Python library and package...
2018: Metabolomics: Official Journal of the Metabolomic Society
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