ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro +14 more
wiley +1 more source
A Comparative Analysis of Explainable AI (XAI) Techniques for Transparent and Reliable Image Classification. [PDF]
Chakraborty S +4 more
europepmc +1 more source
T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ±
Sarah J. Wright +10 more
wiley +1 more source
Low-Intervention Boundary-Risk Graph Calibration for Cross-Domain Few-Shot Hyperspectral Image Classification. [PDF]
Zhang Y, Fan Y, Wang W.
europepmc +1 more source
Hyperparameter Optimization of Convolutional Neural Networks for Robust Tumor Image Classification. [PDF]
Hussain SM +4 more
europepmc +1 more source
DS-Mamba: Depthwise separable mamba for hyperspectral image classification. [PDF]
Wei L, Yang H, Yin Y, Qu Z, Zheng H.
europepmc +1 more source
CSFCNet: Cascaded Spatial-Frequency Convolutional Network for Hyperspectral Image Classification. [PDF]
Jiang F, Liu X, Li M, Nie T, Huang L.
europepmc +1 more source
Multi-Scale Semantic Selection and Spatial Constraint-Guided Network for Cross-Scene Hyperspectral Image Classification. [PDF]
Tang Y +6 more
europepmc +1 more source
Retraction: Unlocking the power of L1 regularization: A novel approach to taming overfitting in CNN for image classification. [PDF]
PLOS One Editors.
europepmc +1 more source
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