Results 111 to 120 of about 36,154 (265)

Blur image representation in defocus using generalized Gaussian kernel

open access: yesJournal of Information Display
Some optical see-through (OST) head-mounted displays use a mask to reduce the effect of external light on virtual objects. The mask blocks the external light, and occlusion is applied to the optical system to provide depth cues to users. Unlike hard-edge
Sungeun Park   +3 more
doaj   +1 more source

Self‐Supervised Deep Learning Framework for Rician Distribution Based Denoising and Modeling of Multi‐b Prostate Diffusion MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Convolutional neural networks (CNNs) are evaluated for improved and accelerated denoising and Rician bias correction in multi‐b DW images with simultaneous signal modeling. Methods Prostate diffusion images from 46 individuals acquired at 20 linearly distributed b‐values (bmax=2000s/mm2)$$ {b}_{\mathrm{max}}=2000\kern0.3em \mathrm{s}/{\
Mustafa Abbas   +4 more
wiley   +1 more source

VQ‐Wave: A Physics‐Driven Spatiotemporal Deep Learning Approach for Noncontrast‐Enhanced Lung Ventilation and Perfusion MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a robust deep learning framework for noncontrast‐enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiological nonstationarity. Methods We introduce VQ‐Wave (Ventilation/Q‐perfusion Waveform‐based Assessment of Variable Evolutions), a physics‐driven spatiotemporal ...
Grzegorz Bauman   +3 more
wiley   +1 more source

Hyperspectral Image Reconstruction Based on Blur–Kernel–Prior and Spatial–Spectral Attention

open access: yesRemote Sensing
Given the problem of spatial detail loss and spectral feature degradation in hyperspectral images (HSIs) characterized as blur, often caused by noise during image acquisition, and methods of removing blur noise designed on HSIs being insufficient, we ...
Hongyu Xie   +7 more
doaj   +1 more source

SelExNet: A Self‐Supervised Physics‐Informed Framework for Multi‐Channel Joint RF and Gradient Waveform Optimization in 2D Spatially Selective Excitation

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To introduce SelExNet: a self‐supervised framework for two‐dimensional spatially selective excitation that jointly optimizes radiofrequency (RF) pulses and gradient waveforms, and extends to multi‐channel transmission MRI. Methods Building on prior RF‐only and joint RF‐gradient optimization approaches, SelExNet couples neural RF and ...
Yuliang Xiao   +5 more
wiley   +1 more source

Quantifying Cardiac, Respiratory, and Low Frequency Components of CSF Motion From fMRI Inflow Effects

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Cerebrospinal fluid (CSF) flow oscillations have emerged as a potentially important marker related to brain clearance, but their acquisition often relies on specialized imaging MRI sequences. The purpose of this work was to enable quantitative assessment of CSF flow associated with cardiac, respiratory, and low‐frequency cycles using ...
Pontus Söderström   +5 more
wiley   +1 more source

Hunting motivations, behaviour and forest access: Characterising wildlife hunting practices in a multi‐ethnic, forested landscape of Brunei Darussalam, Southeast Asia

open access: yesPeople and Nature, EarlyView.
Abstract Unsustainable hunting practices can alter population dynamics, driving biodiversity declines, which leads to ‘empty forests’. Understanding hunting behaviour, including motivations for hunting and relationships with market drivers, and access to hunting grounds are important to develop affirmative policies to stem biodiversity loss.
Natasha L. M. Mannion   +6 more
wiley   +1 more source

Epistemic and aleatoric uncertainty quantification in weather and climate models

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield   +1 more
wiley   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner   +21 more
wiley   +1 more source

Social Sustainability in Circular Bioeconomy Business Models: Insights From Argentina

open access: yesSustainable Development, EarlyView.
ABSTRACT Research on circular bioeconomy business models (CBEBM) has largely prioritised environmental and economic aspects, leaving out the social pillar. To address this gap, this paper analyses to what extent and in what ways social sustainability is integrated into CBEBM, based on 12 cases from northern Argentina, a region with high potential for ...
Celina N. Amato   +2 more
wiley   +1 more source

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