Results 241 to 250 of about 368,659 (337)
The labile brain. III. Transients and spatio–temporal receptive fields [PDF]
Karl Friston
openalex +1 more source
Diffusion‐Weighted Imaging for the Evaluation of the Sacroiliac Joint in Pediatric Patients
Background Maturational signal in the sacroiliac joint (SIJ) of skeletally immature youth is often misinterpreted as inflammation. Diagnostic tools that improve specificity are greatly needed. Apparent diffusion coefficient (ADC) values from diffusion‐weighted imaging (DWI), when used with standard imaging, may enhance diagnostic accuracy.
Michael L. Francavilla +6 more
wiley +1 more source
Applying Super-Resolution and Tomography Concepts to Identify Receptive Field Subunits in the Retina. [PDF]
Krüppel S +8 more
europepmc +1 more source
Objective This systematic review aimed to assess the diagnostic accuracy of algorithms used to identify rheumatoid arthritis (RA) and juvenile idiopathic arthritis (JIA) in electronic health records (EHRs). Methods We searched MEDLINE, Embase, and CENTRAL databases and included studies that validated case definitions against a reference standard such ...
Constanza Saka‐Herrán +10 more
wiley +1 more source
RFCS-YOLO: Target Detection Algorithm in Adverse Weather Conditions via Receptive Field Enhancement and Cross-Scale Fusion. [PDF]
Liu G, Huang Y, Yan S, Hou E.
europepmc +1 more source
Control System Sensor Failure Detection via Networks of Localized Receptive Fields
Sam Chuan Yao, Evanghelos Zafiriou
openalex +2 more sources
Objectives Axial spondyloarthritis (axSpA) is often associated with persistent pain despite effective anti‐inflammatory treatment. Digital health applications (DHA) provide innovative approaches to address multidimensional aspects of persistent pain through psychological and behavioral strategies. The aim of this study was to assess the impact of a DHA
David Kiefer +7 more
wiley +1 more source
DFMA: an improved DeepLabv3+ based on FasterNet, multi-receptive field, and attention mechanism for high-throughput phenotyping of seedlings. [PDF]
Jia L +6 more
europepmc +1 more source
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva +4 more
wiley +1 more source

