Results 61 to 70 of about 200,023 (268)
Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging
, 2019 Many analyses of neuroimaging data involve studying one or more regions of interest (ROIs) in a brain image. In order to do so, each ROI must first be identified.
Brown, D. Andrew +3 more
core +2 more sources
FEBS Open Bio, EarlyView.CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
A SEGMENTED REGRESSION MODEL FOR DESCRIPTION OF MICROBIAL GROWTH [PDF]
Journal of Sciences, Islamic Republic of Iran, 1999 A segmented regression model for the description of microbial growth has been suggested. The model is able to predict the exponential growth, logistic growth, logistic growth with a phase of decline, diauxic growth, microbial growth in synchronous ...
doaj
Infection and Drug Resistance, 2021 Lewei Xie,1 Yaling Du,1 Xuemei Wang,1 Xinping Zhang,1 Chenxi Liu,1 Junjie Liu,2 Xi Peng,3 Xinhong Guo3 1School of Medicine and Health Management, Tongji Medical School, Huazhong University of Science and Technology, Wuhan, Hubei, People’s Republic of ...
Xie L +7 more
doaj
, 2017 A novel multi-atlas based image segmentation method is proposed by integrating a semi-supervised label propagation method and a supervised random forests method in a pattern recognition based label fusion framework.
Fan, Yong, Zheng, Qiang
core +1 more source
FEBS Open Bio, EarlyView.In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes +32 more
wiley +1 more source
Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon +12 more
wiley +1 more source
A Robust Segmented Mixed Effect Regression Model for Baseline Electricity Consumption Forecasting
Journal of Modern Power Systems and Clean Energy, 2022 Renewable energy production has been surging around the world in recent years. To mitigate the increasing uncertainty and intermittency of the renewable generation, proactive demand response algorithms and programs are proposed and developed to further ...
Xiaoyang Zhou +3 more
doaj +1 more source
Efficient Algorithms for Multidimensional Segmented Regression
, 2020 We study the fundamental problem of fixed design {\em multidimensional segmented regression}: Given noisy samples from a function $f$, promised to be piecewise linear on an unknown set of $k$ rectangles, we want to recover $f$ up to a desired accuracy in mean-squared error.
Diakonikolas, Ilias +2 more
openaire +2 more sources
Fully Convolutional Boundary Regression for Retina OCT Segmentation [PDF]
, 2019 A major goal of analyzing retinal optical coherence tomography (OCT) images is retinal layer segmentation. Accurate automated algorithms for segmenting smooth continuous layer surfaces, with correct hierarchy (topology) are desired for monitoring disease progression. State-of-the-art methods use a trained classifier to label each pixel into background,
Yufan, He +7 more
openaire +2 more sources