Results 211 to 220 of about 448,451 (289)
Constructing three-way classifier with interval granulation neighborhood rough sets based on uncertainty invariance. [PDF]
Wang Y, Xu T, Huang R, Liu Z, Yang J.
europepmc +1 more source
Ultrafast oscillations in the human brain and their functional significance
Abstract Objective The upper frequency limit of human brain activity remains unknown. Using ultrahigh sampling rate (≥20 kHz) intracranial microelectroencephalography, this study aimed to systematically explore and quantitatively characterize brain field oscillations beyond the established high‐frequency oscillation range (>2 kHz), and to determine ...
Milan Brázdil +13 more
wiley +1 more source
Fuzzy weighted natural nearest neighbor based density peak clustering. [PDF]
Wang M, Chen X, Xie J.
europepmc +1 more source
Abstract Objective Detection of focal cortical dysplasia (FCD) remains a major challenge in presurgical epilepsy diagnostics. Magnetic resonance imaging (MRI) morphometry increasingly improves lesion detection and postsurgical outcomes. The volume‐based Morphometric Analysis Program, version 2018 (MAP18) with integrated artificial neural network and ...
Lara Bücheler +17 more
wiley +1 more source
An Explainable Fuzzy Framework for Assessing Preeclampsia Classification. [PDF]
Salinas M +6 more
europepmc +1 more source
Abstract Objective The detection of subtle epileptogenic lesions such as focal cortical dysplasias (FCDs) is a clinical challenge in the management of drug‐resistant focal epilepsy (DRFE). Ultra‐high‐field (UHF) magnetic resonance imaging (MRI) offers increased signal‐to‐noise ratios and spatial resolution compared to 3‐T MRI and may improve diagnostic
Cornelius Kronlage +11 more
wiley +1 more source
FuzzyFed-CNN: secure and explainable multimodal federated learning for early Alzheimer's diagnosis. [PDF]
Mohanraj S, Radhakrishnan S.
europepmc +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Availability of drone mission with binary decision diagram based on uncertain data. [PDF]
Zaitseva E +4 more
europepmc +1 more source
Abstract Objective Epilepsy affects approximately 50 million people worldwide and, although primarily attributed to neuronal dysfunction, increasing evidence highlights a critical role of glial cells, particularly astrocytes, in the pathophysiological mechanisms.
Chiara Lötzsch +5 more
wiley +1 more source

