Results 181 to 190 of about 25,441 (258)

Image deblurring by multi-scale modified U-Net using dilated convolution. [PDF]

Sci Prog
Shi XP, Lin SY, Yang ML, Huang CC, Lee JC.   +4 more
europepmc   +1 more source

A Gated Dilated Convolution with Attention Model for Clinical Cloze-Style Reading Comprehension. [PDF]

Int J Environ Res Public Health, 2020
Wang B, Zhang X, Zhou X, Li J.
europepmc   +1 more source

P2X7 receptors promote atrial remodeling and atrial fibrillation susceptibility via reactive oxygen species‐mediated mitogen‐activated protein kinase signaling activation

Journal of Cell Communication and Signaling, Volume 20, Issue 2, June 2026.
Abstract Atrial fibrillation (AF), the most common clinical arrhythmia, is driven by inflammatory activation and oxidative stress, though precise molecular links remain unclear. This study identifies the P2X7 receptor as a key upstream regulator orchestrating proarrhythmic atrial remodeling through reactive oxygen species (ROS)‐mediated mitogen ...
Lingnan Zhang, Yeran Zhu, Xinshun Gu
wiley   +1 more source

Spectral Representation of Neurochemicals With Phase, Frequency Offset, and Lineshape Invariance: Application to JPRESS for In Vivo Concentration and T2 Mapping by Deep Learning

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3052-3064, June 2026.
ABSTRACT Purpose Using artificial intelligence neural networks to generate a representation that maps the input directly to neurochemical concentrations and metabolite‐level average transverse relaxation times (T2). Methods The proposed model used time‐domain JPRESS data as input and was trained to be invariant to phase shifts, frequency offsets, and ...
Yan Zhang, Jun Shen
wiley   +1 more source

Rapid Tissue‐CSF Water Exchange in the Human Brain Revealed by Magnetization Transfer Indirect Spin Labeling

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3270-3283, June 2026.
ABSTRACT Purpose To apply the Magnetization Transfer Indirect Spin Labeling (MISL) MRI technique for quantifying tissue‐CSF water exchange in the human brain, and to investigate its utility in (1) evaluating tissue‐CSF water exchange within perivascular spaces (PVS), and (2) characterizing altered water exchange dynamics in pathologic conditions ...
Yihan Wu, Kexin Wang, Licheng Ju, Anna Li, Qin Qin, Feng Xu, Doris D. M. Lin, Lawrence Kleinberg, Jiadi Xu   +8 more
wiley   +1 more source

FMRI Approaches to Mapping Cerebrovascular Reactivity: Comparison of Gradient Echo BOLD and Spin Echo BOLD With Arterial Spin Labeling

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3309-3321, June 2026.
ABSTRACT Purpose To compare markers of cerebrovascular reactivity (CVR) measured with Gradient Echo (GE, T2*w) and Spin‐Echo (SE, T2w) BOLD fMRI with quantitative physiological CVR measured using ASL. Methods CVR, the ability of blood vessels to dilate and increase cerebral blood flow (CBF), can be investigated with ASL fMRI but has a low signal‐to ...
Sara Pomante, Davide Di Censo, Alessandra Caporale, Fabrizio Fasano, Domenico Zacà, Elizabeth Jane Fear, Francesca Graziano, Manuela Carriero, Lucie Renee Raymonde Chalet, Emma Biondetti, Maria Eugenia Caligiuri, Michael Germuska, Richard Geoffrey Wise, Antonio Maria Chiarelli   +13 more
wiley   +1 more source

Dystrophinopathy with a DMD exon 49–50 deletion in a female patient who developed schizophrenia: An autopsy case

Psychiatry and Clinical Neurosciences Reports, Volume 5, Issue 2, June 2026.
Abstract Background Mutations in DMD affect not only muscles but also the brain. Cases of schizophrenia with DMD mutations have been described previously. Although female dystrophinopathy often has a milder phenotype, some affected females also have intellectual disabilities and psychiatric disorders.
Shusei Arafuka, Youta Torii, Ayako Miwa, Itaru Kushima, Hirotaka Sekiguchi, Hiroshige Fujishiro, Chikako Habuchi, Hiroaki Miyahara, Yosuke Kawai, Ran Wei, Katsushi Tokunaga, Norio Ozaki, Mari Yoshida, Shuji Iritani, Yasushi Iwasaki, Masashi Ikeda   +15 more
wiley   +1 more source

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, Volume 42, Issue 4, Page 1426-1442, June 2026.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +1 more source

A Convolutional Neural Network‐Based Model for Precipitation Nowcasting Leveraging Data From Gauge Stations

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Rainfall nowcasting, the short‐term prediction of precipitation, is a vital component of early warning systems aimed at mitigating the effects of extreme weather events. In this study, we develop a deep learning approach based on convolutional neural networks (CNNs) for rainfall nowcasting and train it exclusively on data from rain gauge ...
Fereshteh Taromideh, Giovanni Francesco Santonastaso, Mehdi Masoodi, Andrea Cominola, Roberto Greco   +4 more
wiley   +1 more source

Spatiotemporal Machine Learning Approaches for Atmospheric Composition Emulation in NASA GISS ModelE

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Earth System Models (ESMs) rely on parameterizations to represent sub‐grid scale processes that cannot be explicitly resolved at typical model resolutions. However, maintaining full coupling between these parameterizations and other model components creates substantial computational demands. This challenge is particularly acute for atmospheric
Mohammad H. Erfani, Kara D. Lamb, Susanne E. Bauer, Kostas Tsigaridis, Marcus van Lier‐Walqui, Gavin Schmidt   +5 more
wiley   +1 more source