Results 111 to 120 of about 10,677 (169)

Scanner‐agnostic artificial intelligence approach for fast bone scintigraphy

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 8, August 2026.
Abstract Purpose Current bone scintigraphy protocols often demand full‐count, 10–15 min scans to preserve image quality, and existing deep‐learning (DL) denoisers typically need to be retrained or retuned for each camera manufacturer. We introduce a scanner‐agnostic adaptive‐diffusion U‐Net designed to reconstruct diagnostic‐grade images from half‐time
Vinicius de Oliveira Menezes   +9 more
wiley   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

open access: yesAdvanced Science, Volume 13, Issue 43, 3 August 2026.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu   +5 more
wiley   +1 more source

Decreased Control and Enhanced Reactivity: Dual Dysregulation Pattern of Cross‐Frequency Coupling in Emotional Susceptibility of Non‐Clinical Insomnia

open access: yesCNS Neuroscience &Therapeutics, Volume 32, Issue 8, August 2026.
Insomnia disorder involves a dual dysregulation pattern: reduced frontal delta‐beta coupling (impaired control) and enhanced occipital theta‐beta coupling (heightened reactivity). These mechanisms underlie emotional susceptibility and negative attentional bias.
Siyu Li   +6 more
wiley   +1 more source

Lost in Translation? Risk‐Adjusting RMSE for Economic Forecast Performance

open access: yesJournal of Forecasting, Volume 45, Issue 5, Page 2587-2605, August 2026.
ABSTRACT When used for parameter optimization and/or model selection, traditional mean squared error (MSE)–based measures of forecast accuracy often exhibit a weak or even negative correlation with the economic value of return forecasts measured by, for example, the Sharpe ratios of the resulting portfolios.
Lukas Salcher   +2 more
wiley   +1 more source

Altered Cortical Morphological Brain Networks and Their Diagnostic Classification Utility in Major Depressive Disorder

open access: yesHuman Brain Mapping, Volume 47, Issue 11, 01 August 2026.
Using structural MRI data from over 2700 participants, this large‐scale study shows that major depressive disorder exhibits distinct, feature‐specific alterations across multiple brain structural networks. These changes are already present in first‐episode, drug‐naive patients and allow effective differentiation between individuals with depression and ...
Xuetian Sun   +129 more
wiley   +1 more source

Shifts in subsurface oxygen transport and consumption patterns in a restored coastal flood plain over five years

open access: yesLimnology and Oceanography, Volume 71, Issue 8, August 2026.
Abstract Groundwater dissolved oxygen (DO) variability in coastal systems remains poorly understood despite its importance for biogeochemical cycling and ecosystem modeling. This study investigates temporal variability in groundwater DO and its hydro‐climatic drivers across timescales (hourly to seasonal) in a coastal floodplain at Beaver Creek ...
Emilio Grande   +5 more
wiley   +1 more source

Scalable Approximation of the Transformation‐Free Linear Simplicial–Simplicial Regression via Constrained Iterative Reweighted Least Squares

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 4, August 2026.
ABSTRACT Simplicial–simplicial regression concerns statistical modeling scenarios in which both the predictors and the responses contain vectors constrained to lie on the simplex. Fiksel et al. introduced a transformation‐free linear regression framework for this setting, wherein the regression coefficients are estimated by minimizing the Kullback ...
Michail Tsagris, Omar Alzeley
wiley   +1 more source

Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer's dementia. [PDF]

open access: yesEur J Nucl Med Mol Imaging, 2020
Wang M   +10 more
europepmc   +1 more source

Bayesian Estimation of the Binomial Parameter in Adaptive Designs With Treatment Selection

open access: yesStatistics in Medicine, Volume 45, Issue 18-19, August 2026.
ABSTRACT It is well‐known that results from adaptive multi‐arm experiments with treatment selection are subject to the bias of the selection process. In this article, we consider designs with a binary outcome that begin with randomized parallel arms.
Pierre Bunouf, Jean‐Marie Boher
wiley   +1 more source

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