Titlebook: Biomedical Engineering Systems and Technologies; 8th International Jo Ana Fred,Hugo Gamboa,Dirk Elias Conference proceedings 2015 Springer

consolidate

Christoph Jungmann,Peter A. Lieberzeit parameters, plethysmography (PPG), and blood pressure (BP) values. This hypothesis implies that, rather than continuously measuring the patient’s BP, both their systolic and diastolic BP values can be indirectly measured as follows: a wearable wireless PPG sensor is applied to a patient’s finger, a

摇摆

大酒杯

Shuang Liu,Guozhen Yang,Huibin Lu,Heng Zhu The method is based on the Crutchfield information metric. This distance measure can be computed solely based on the voxel intensities. In a series of experiments we proof its usefulness. First, we show that given multiparametric MRI data sets it is possible to discover the physical relationship w.

Brittle

Huailing Zhong,Xinyan Huang,Dario Dollerrategy used in this paper is to improve the retrieval performance while using smaller number of features. The feature vector consists of the measurements of cortical and subcortical brain structures, including volumes of the brain structures and cortical thickness. The feature subset selection is ad

微粒

Shuang Liu,Guozhen Yang,Huibin Lu,Heng Zhuges obtained from confocal microscopy of shoot apical meristems of model plant .. Obtaining good-quality meshes of cell interfaces in plant tissues is currently a missing step in the existing image analysis pipelines. We propose a method for optimizing the quality of such a mesh representation of th

Albinism

Optical Waveguide-Based Cellular Assays,this domain, machine learning offers an attractive alternative to classical statistical approaches. The seminal works of Mourad et al. [.] have led to the proposal of a novel class of probabilistic graphical models, the forest of latent trees (FLTM). The design of this model was motivated by the nec

FRAUD

Label-Free Monitoring of Cells in vitroc mechanisms of the pathogen, pathogen-host interactions in the infection process have become a novel and promising research subject in the field of infectious disease. In this study, two pathogen-host dynamic crosstalk networks were constructed to investigate the transition of pathogenic and defens

赦免

https://doi.org/10.1007/978-3-030-32433-9ructure prediction community. In this paper, we introduce a three-stage machine learning classifier to predict the 7-state torsion angles of a protein. The first two stages employ dynamic Bayesian and neural networks to produce an ab-initio prediction of torsion angle states starting from sequence p

DOSE

Label-Free Super-Resolution Microscopy harnessed to investigate pressing questions regarding aging and disease. However, there is a distinct imbalance between available data generation techniques and data analysis methodology development. Similar to the four “V’s” of big data, biological data has volume, velocity, heterogeneity, and is

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