Read by QxMD icon Read


Yu-Yan Li, Guang Zheng, Liang Liu
OBJECTIVE: To decipher the possible mechanisms of Sinomenium Acutum (SA) in treating diseases by a bioinformatics method. METHODS: SA ingredients were searched according to Chinese Pharmacopoeia, Chinese Medicine Dictionary and Traditional Chinese Medicines Database (TCMD). Active compounds and target proteins of SA were acquired through the Pubchem platform. Pathway, network and function analyses of SA were performed with ingenuity pathway analysis (IPA), a bioinformatics analysis platform...
March 21, 2018: Chinese Journal of Integrative Medicine
Murad Megjhani, Kalijah Terilli, Hans-Peter Frey, Angela G Velazquez, Kevin William Doyle, Edward Sander Connolly, David Jinou Roh, Sachin Agarwal, Jan Claassen, Noemie Elhadad, Soojin Park
Purpose: Accurate prediction of delayed cerebral ischemia (DCI) after subarachnoid hemorrhage (SAH) can be critical for planning interventions to prevent poor neurological outcome. This paper presents a model using convolution dictionary learning to extract features from physiological data available from bedside monitors. We develop and validate a prediction model for DCI after SAH, demonstrating improved precision over standard methods alone. Methods: 488 consecutive SAH admissions from 2006 to 2014 to a tertiary care hospital were included...
2018: Frontiers in Neurology
Tian Tian, Chang Li, Jinkang Xu, Jiayi Ma
Detecting urban areas from very high resolution (VHR) remote sensing images plays an important role in the field of Earth observation. The recently-developed deep convolutional neural networks (DCNNs), which can extract rich features from training data automatically, have achieved outstanding performance on many image classification databases. Motivated by this fact, we propose a new urban area detection method based on DCNNs in this paper. The proposed method mainly includes three steps: (i) a visual dictionary is obtained based on the deep features extracted by pre-trained DCNNs; (ii) urban words are learned from labeled images; (iii) the urban regions are detected in a new image based on the nearest dictionary word criterion...
March 18, 2018: Sensors
Khurram Ashfaq Qazi, Tabassam Nawaz, Zahid Mehmood, Muhammad Rashid, Hafiz Adnan Habib
Recent research on speech segregation and music fingerprinting has led to improvements in speech segregation and music identification algorithms. Speech and music segregation generally involves the identification of music followed by speech segregation. However, music segregation becomes a challenging task in the presence of noise. This paper proposes a novel method of speech segregation for unlabelled stationary noisy audio signals using the deep belief network (DBN) model. The proposed method successfully segregates a music signal from noisy audio streams...
2018: PloS One
Katherine L Wright, Yun Jiang, Dan Ma, Douglas C Noll, Mark A Griswold, Vikas Gulani, Luis Hernandez-Garcia
In this study, the acquisition of ASL data and quantification of multiple hemodynamic parameters was explored using a Magnetic Resonance Fingerprinting (MRF) approach. A pseudo-continuous ASL labeling scheme was used with pseudo-randomized timings to acquire the MRF ASL data in a 2.5 min acquisition. A large dictionary of MRF ASL signals was generated by combining a wide range of physical and hemodynamic properties with the pseudo-random MRF ASL sequence and a two-compartment model. The acquired signals were matched to the dictionary to provide simultaneous quantification of cerebral blood flow, tissue time-to-peak, cerebral blood volume, arterial time-to-peak, B1 , and T1...
March 12, 2018: Magnetic Resonance Imaging
Yawen Huang, Ling Shao, Alejandro F Frangi
Multi-modality medical imaging is increasingly used for comprehensive assessment of complex diseases in either diagnostic examinations or as part of medical research trials. Different imaging modalities provide complementary information about living tissues. However, multi-modal examinations are not always possible due to adversary factors, such as patient discomfort, increased cost, prolonged scanning time, and scanner unavailability. In additionally, in large imaging studies, incomplete records are not uncommon owing to image artifacts, data corruption or data loss, which compromise the potential of multi-modal acquisitions...
March 2018: IEEE Transactions on Medical Imaging
Ai-Ling Qi, Guang-Ming Zhang, Ming Dong, Hong-Wei Ma, David M Harvey
Ultrasonic echo estimation is important in ultrasonic non-destructive evaluation and material characterization. Matching pursuit is one of the most popular methods for the purpose of estimating ultrasonic echoes. In this paper, an artificial bee colony optimization based matching pursuit approach (ABC-MP) is proposed specifically for ultrasonic signal decomposition by integrating the artificial bee colony algorithm into the matching pursuit method. The optimal atoms are searched from a continuous parameter space over a tailored Gabor dictionary in ABC-MP instead of a discrete parameter space in matching pursuit...
March 7, 2018: Ultrasonics
Yasmeen George, Mohammad Aldeen, Rahil Garnavi
Psoriasis is a chronic skin disease which can be life-threatening. Accurate severity scoring helps dermatologists to decide on the treatment. In this paper, we present a semi-supervised computer-aided system for automatic erythema severity scoring in psoriasis images. Firstly, the unsupervised stage includes a novel image representation method. We construct a dictionary, which is then used in the sparse representation for local feature extraction. To acquire the final image representation vector, an aggregation method is exploited over the local features...
February 23, 2018: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
Ajin Joy, Joseph Suresh Paul
PURPOSE: Avoid formation of staircase artifacts in nonlinear diffusion-based MR image reconstruction without compromising computational speed. METHODS: Whereas second-order diffusion encourages the evolution of pixel neighborhood with uniform intensities, fourth-order diffusion considers smooth region to be not necessarily a uniform intensity region but also a planar region. Therefore, a controlled application of fourth-order diffusivity function is used to encourage second-order diffusion to reconstruct the smooth regions of the image as a plane rather than a group of blocks, while not being strong enough to introduce the undesirable speckle effect...
March 7, 2018: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
Varsha D Badal, Petras J Kundrotas, Ilya A Vakser
BACKGROUND: Structural modeling of protein-protein interactions produces a large number of putative configurations of the protein complexes. Identification of the near-native models among them is a serious challenge. Publicly available results of biomedical research may provide constraints on the binding mode, which can be essential for the docking. Our text-mining (TM) tool, which extracts binding site residues from the PubMed abstracts, was successfully applied to protein docking (Badal et al...
March 5, 2018: BMC Bioinformatics
Colas Schretter, Shaun Bundervoet, David Blinder, Ann Dooms, Jan D'hooge, Peter Schelkens
Upcoming phased-array 2-D sensors will soon enable fast high-definition 3-D ultrasound imaging. Currently, the communication of raw radio-frequency (RF) channel data from the probe to the computer for digital beamforming is a bottleneck. For reducing the amount of transferred data samples, this paper investigates the design of an adapted sparse sampling technique for image reconstruction inspired by the compressed sensing framework. Echo responses from isolated points are generated using a physically based simulation of ultrasound wave propagation through tissues...
March 2018: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Valeriya Naumova, Karin Schnass
This paper extends the recently proposed and theoretically justified iterative thresholding and K residual means (ITKrM) algorithm to learning dictionaries from incomplete/masked training data (ITKrMM). It further adapts the algorithm to the presence of a low-rank component in the data and provides a strategy for recovering this low-rank component again from incomplete data. Several synthetic experiments show the advantages of incorporating information about the corruption into the algorithm. Further experiments on image data confirm the importance of considering a low-rank component in the data and show that the algorithm compares favourably to its closest dictionary learning counterparts, wKSVD and BPFA, either in terms of computational complexity or in terms of consistency between the dictionaries learned from corrupted and uncorrupted data...
2018: EURASIP Journal on Advances in Signal Processing
Shijie Zhao, Junwei Han, Xi Jiang, Heng Huang, Huan Liu, Jinglei Lv, Lei Guo, Tianming Liu
In recent years, natural stimuli such as audio excerpts or video streams have received increasing attention in neuroimaging studies. Compared with conventional simple, idealized and repeated artificial stimuli, natural stimuli contain more unrepeated, dynamic and complex information that are more close to real-life. However, there is no direct correspondence between the stimuli and any sensory or cognitive functions of the brain, which makes it difficult to apply traditional hypothesis-driven analysis methods (e...
February 27, 2018: Neuroinformatics
Marcelo V W Zibetti, Azadeh Sharafi, Ricardo Otazo, Ravinder R Regatte
PURPOSE: To evaluate the feasibility of using compressed sensing (CS) to accelerate 3D-T1ρ mapping of cartilage and to reduce total scan times without degrading the estimation of T1ρ relaxation times. METHODS: Fully sampled 3D-T1ρ datasets were retrospectively undersampled by factors 2-10. CS reconstruction using 12 different sparsifying transforms were compared, including finite differences, temporal and spatial wavelets, learned transforms using principal component analysis (PCA) and K-means singular value decomposition (K-SVD), explicit exponential models, low rank and low rank plus sparse models...
February 25, 2018: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
Jorge E Arana, Theresa Harrington, Maria Cano, Paige Lewis, Adamma Mba-Jonas, Li Rongxia, Brock Stewart, Lauri E Markowitz, Tom T Shimabukuro
BACKGROUND: The Food and Drug Administration (FDA) approved quadrivalent human papillomavirus vaccine (4vHPV) for use in females and males aged 9-26 years, since 2006 and 2009 respectively. We characterized reports to the Vaccine Adverse Event Reporting System (VAERS), a US spontaneous reporting system, in females and males who received 4vHPV vaccination. METHODS: We searched VAERS for US reports of adverse events (AEs) following 4vHPV from January 2009 through December 2015...
March 20, 2018: Vaccine
Takashi Misu, Cindy M Kortepeter, Monica A Muñoz, Eileen Wu, Gerald J Dal Pan
INTRODUCTION: The most commonly reported adverse event, based on frequency of Medical Dictionary for Regulatory Activities (MedDRA) preferred terms (PTs), in the US FDA Adverse Event Reporting System (FAERS) database is "drug ineffective" (DI). This study aimed to describe the DI reports and provide data to support recommendations on how to best evaluate these reports. METHODS: We characterized all FAERS reports coded with the MedDRA PT "drug ineffective" received between 1 September 2012 and 31 August 2016 using all other FAERS reports as a comparator...
February 23, 2018: Drugs—Real World Outcomes
Stanley Cohen, Jeffrey R Curtis, Ryan DeMasi, Yan Chen, Haiyun Fan, Arif Soonasra, Roy Fleischmann
INTRODUCTION: Post-marketing surveillance (PMS) is an integral part of monitoring adverse events (AEs) following approval of new drugs. Tofacitinib is an oral Janus kinase inhibitor for the treatment of rheumatoid arthritis (RA). An analysis of PMS reports was conducted to evaluate the safety of tofacitinib in a post-marketing setting. METHODS: Worldwide tofacitinib PMS data received in the Pfizer safety database from November 6, 2012 (first marketing authorization of tofacitinib) to November 5, 2015 were analyzed...
February 22, 2018: Rheumatology and Therapy
Shang Zhang, Yuhan Dong, Hongyan Fu, Shao-Lun Huang, Lin Zhang
The miniaturization of spectrometer can broaden the application area of spectrometry, which has huge academic and industrial value. Among various miniaturization approaches, filter-based miniaturization is a promising implementation by utilizing broadband filters with distinct transmission functions. Mathematically, filter-based spectral reconstruction can be modeled as solving a system of linear equations. In this paper, we propose an algorithm of spectral reconstruction based on sparse optimization and dictionary learning...
February 22, 2018: Sensors
Karen Kelly, Jeffrey R Infante, Matthew H Taylor, Manish R Patel, Deborah J Wong, Nicholas Iannotti, Janice M Mehnert, Anja H Loos, Helga Koch, Isabell Speit, James L Gulley
BACKGROUND: Antibodies targeting the programmed death-ligand 1 (PD-L1)/programmed cell death protein 1 (PD-1) checkpoint may cause adverse events (AEs) that are linked to the mechanism of action of this therapeutic class and unique from those observed with conventional chemotherapy. METHODS: Patients with advanced solid tumors who were enrolled in the phase 1 JAVELIN Solid Tumor (1650 patients) and phase 2 JAVELIN Merkel 200 (88 patients) trials received avelumab, a human anti-PD-L1 IgG1 antibody at a dose of 10 mg/kg every 2 weeks...
February 22, 2018: Cancer
Wentao Wang, Yuequan Bao, Wensong Zhou, Hui Li
Lamb waves are being investigated extensively for structural health monitoring (SHM) because of their characteristics of traveling long distances with little attenuation and sensitivity to minor local damage in structures. However, Lamb waves are dispersive, which results in the complex overlap of waveforms in the damage detection applications of the SHM community. This paper proposes a sparse representation strategy based on an l1 -norm optimization algorithm for guided-Lamb-wave-based inspections. A comprehensive dictionary is designed containing various waveforms under diverse conditions so that the received waveform can be decomposed into a spatial domain for the identification of damage location...
February 10, 2018: Ultrasonics
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"