Results 131 to 140 of about 181,536 (234)
Cross-Scale Spectral Calibration for Spatiotemporal Fusion of Remote Sensing Images. [PDF]
Tian Y +6 more
europepmc +1 more source
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
wiley +1 more source
Copernicus Data Space Ecosystem establishes public cloud processing for earth observation data. [PDF]
D Kovács D +5 more
europepmc +1 more source
Grid enabled application visualisation services for oceanographic diagnostics studies [PDF]
Nagella S, Sastry L
core
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +15 more
wiley +1 more source
Automatic bone age assessment: a deep learning case study on the Brazilian population with a supporting mobile application prototype. [PDF]
Teodoro RDA +6 more
europepmc +1 more source
Impact of Plasma p‐tau181 on Cognition, Motor Phenotypes, and Disease Course in ALS
ABSTRACT Phosphorylated tau181 (p‐tau181), an Alzheimer's disease biomarker, was recently evaluated in amyotrophic lateral sclerosis (ALS). We investigated plasma p‐tau181 in 202 ALS/ALS‐FTD patients and 94 healthy controls, assessing cognitive performance, motor function, and longitudinal dynamics.
Elisabeth Kasper +25 more
wiley +1 more source
Ensemble deep learning approach for traffic video analytics in edge computing. [PDF]
Sathyamoorthy M +3 more
europepmc +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source

