Results 141 to 150 of about 10,752 (214)
Scanner‐agnostic artificial intelligence approach for fast bone scintigraphy
Journal 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
Hard‐Magnetic Soft Millirobots in Underactuated Systems
Advanced Robotics Research, Volume 2, Issue 4, August 2026.This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
Advanced 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
ESTIMATION OF THE KULLBACK-LEIBLER DIVERGENCE
, 2003 The Kullback-Leibler (KL) divergence K(fl, P) between a set O of probability measures (PMs) on ]R d and some PM P cannot be estimated by K(O, Pn) when O contains PM whose support is not included in the support of the empirical measure Pn. We propose an estimation procedure which avoids any smoothing of Pn.
openaire +1 more source
Cancer Medicine, Volume 15, Issue 8, August 2026.STL feature learning combined with DeepBDC covariance modeling enables ultrasound‐based classification of six ovarian tumor subtypes. ABSTRACT Background Accurate preoperative pathological classification of malignant and borderline ovarian tumors (OMTs) can support surgical planning, fertility preservation, and prognosis, but ultrasound‐based subtype ...
Ning Zhao +8 more
wiley +1 more source
CNS 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
Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimization. [PDF]
Med Phys, 2019 Ha W +4 more
europepmc +1 more source
Lost in Translation? Risk‐Adjusting RMSE for Economic Forecast Performance
Journal 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
Kullback-Leibler Divergence Based Probabilistic Approach for Device-Free Localization Using Channel State Information. [PDF]
Sensors (Basel), 2019 Gao R, Zhang J, Xiao W, Li Y.
europepmc +1 more source
Human 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