Results 111 to 120 of about 2,159,265 (282)

sparr: Analyzing Spatial Relative Risk Using Fixed and Adaptive Kernel Density Estimation in R [PDF]

The estimation of kernel-smoothed relative risk functions is a useful approach to examining the spatial variation of disease risk. Though there exist several options for performing kernel density estimation in statistical software packages, there have ...
Tilman M. Davies, Jonathan. C Marshall, Martin L. Hazelton   +2 more
core  

Whole‐Brain Cerebral Microvascular Pulsatility Imaging Using Dynamic pCASL MRI With Segmented Stack‐of‐Stars Golden‐Angle Radial Acquisition

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an efficient dynamic pseudo‐continuous arterial spin labeling (pCASL) MRI technique for whole‐brain microvascular flow pulsatility imaging. Methods The proposed technique combines pCASL with a segmented stack‐of‐stars golden‐angle radial acquisition.
Tianrui Zhao, Jianing Tang, Yining He, Dilip K. Pandey, Philip B. Gorelick, Lirong Yan   +5 more
wiley   +1 more source

Estimation of the Gaussian blur parameter by comparing histograms of gradients with a standard image

Российский технологический журнал
Objectives. The aim of this study is to develop a method for automatic quantitative estimation of the Gaussian blur parameter in digital images, which typically arises due to defocus of the optical system, various optical and camerainduced aberrations ...
V. B. Fedorov, S. G. Kharlamov
doaj   +1 more source

A sparse kernel density estimation algorithm using forward constrained regression

, 2007
Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward constrained regression manner. The leave-one-out (LOO) test score is used for kernel selection.
Hong, X., Harris, C., Harris, C.J., Chen, S.   +3 more
core  

Optimization of Gradient Pulse Shape Prediction Using Temporal Convolutional Networks

Magnetic Resonance in Medicine, EarlyView.
Purpose To improve TCN‐based gradient‐waveform prediction with respect to acquisition efficiency and inference speed, and to evaluate its use for radial imaging. Methods Gradient waveforms were measured using a thin‐slice method on a preclinical MRI system. Separate TCN models were trained for each physical gradient axis to predict both gradient and B0$
Jiří Vitouš, Radovan Jiřík, Zenon Starčuk   +2 more
wiley   +1 more source

Simultaneous T1 and T2 Mapping in the Brain With QuantoRAGE: An MP2RAGE Variant Using T2‐Prepared Inversion

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop and validate a repeatable and reproducible approach, QuantoRAGE, for simultaneous whole‐brain T1 and T2 mapping using adiabatic magnetization preparation. Methods QuantoRAGE is a 3D FLASH‐based sequence using an adiabatic T2‐prepared inversion followed by two readout blocks.
Natalia Pato Montemayor, Tâm Johan Nguyên, José P. Marques, Berk Can Açikgöz, Jessica A. M. Bastiaansen, Roland Kreis, Piotr Radojewski, Jonathan Stelter, Dimitrios Karampinos, Jocelyn Philippe, Lina Bacha, Tommaso Di Noto, Bénédicte Maréchal, Dominik Nickel, Patrick A. Liebig, Robin M. Heidemann, Tobias Kober, Jean‐Philippe Thiran, Tom Hilbert, Thomas Yu, Gian Franco Piredda, Gabriele Bonanno   +21 more
wiley   +1 more source

Weakly Convex Ridge Regularization for 3D Non‐Cartesian MRI Reconstruction

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose While highly accelerated non‐Cartesian acquisition protocols significantly reduce scan time, they often entail long reconstruction delays for 3D data. Deep learning–based reconstruction methods can alleviate this, but typically rely on complex, highly parametrized architectures.
German Shâma Wache, Chaithya G R, Asma Tanabene, Sebastian Neumayer   +3 more
wiley   +1 more source

Improved Upper‐Airway Collapse Imaging in Obstructive Sleep Apnea Using Self‐Supervised Spiral Variational Manifold Learning

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To propose a self‐supervised variational manifold learning framework for dynamic upper‐airway MRI reconstruction in obstructive sleep apnea from prospectively under‐sampled spiral data during natural sleep, without requiring fully sampled training data.
Md Shahin Ali, Wahidul Alam, Mathews Jacob, Sarv Priya, Douglas Van Daele, Junjie Liu, Sajan Goud Lingala   +6 more
wiley   +1 more source

Geophysical investigation at Sainte‐Marguerite‐sur‐Mer (Normandy, France): From a supposed landfill to a forgotten military network?

Near Surface Geophysics, EarlyView.
Abstract This study focuses on characterising a strong and unexpected anomaly observed during an electromagnetic induction (EMI) survey conducted on the chalk cliff plateau at Sainte‐Marguerite‐sur‐Mer, in the Normandy region, France. The site was selected for a long‐term study of chalk cliff coastal erosion that began in 2017 and has been studied for ...
Sarah Thuillier, Cécile Finco, Fayçal Rejiba, Cyrille Fauchard   +3 more
wiley   +1 more source

DUCK‐Net: automated deep learning segmentation of ductular reactions in murine liver injury captures multicellular niche dynamics from H&E morphology

The Journal of Pathology, EarlyView.
Abstract Ductular reactions (DRs) are dynamic and complex multicellular responses that occur as a result of various hepatic injuries. Precise identification and quantification of the extent of DRs is a cornerstone of pre‐clinical modelling of liver disease, with links to inflammation, fibrosis, regeneration, and disease severity.
Nathalie Feeley, Kai Williams, Caitlin McCaffrey, Daniel Field, Kyle Davies, Hugh Warden, Luke Boulter, Steve Thorn, Tak Yung Man, Wei‐Yu Lu, Stephen J Wigmore, Ewen M Harrison, Stuart J Forbes, Ian P Tomlinson, Timothy J Kendall, Rachel V Guest   +15 more
wiley   +1 more source