Results 141 to 150 of about 1,383,033 (265)
Plasma Glial Fibrillary Acidic Protein Correlates With Brain Metal Burden in Wilson's Disease
ABSTRACT Objective Neuroinflammation driven by extracellular copper contributes to neuronal damage in Wilson's disease (WD). This study investigated the relationship between brain metal burden and peripheral neuroinflammation markers in WD. Methods We conducted a cross‐sectional study involving 89 participants, including patients with WD (n = 63 ...
Sung‐Pin Fan +12 more
wiley +1 more source
Longitudinal changes in salivary biomarkers in Parkinson’s disease (PD) from early (T0) to 4‐year follow‐up (T1), quantified by ELISA: oligomeric and total α‐synuclein, total and phosphorylated tau, MAP1LC3B (autophagy), and TNFa (inflammation). Blue arrows indicate direction of change at T1 vs T0 (up = increase; down = decrease).
Maria Ilenia De Bartolo +13 more
wiley +1 more source
ACEnet: Anatomical context-encoding network for neuroanatomy segmentation
Yuemeng Li, Hongming Li, Yong Fan
openalex +2 more sources
ABSTRACT Background Olfactory dysfunction is frequently observed in patients with multiple sclerosis (MS); however, its underlying mechanisms remain poorly understood. To date, no studies have directly examined the nasal mucosal microbiota in MS. This study aimed to explore potential relationships among olfactory function, nasal microbiota composition,
Zidan Gao +5 more
wiley +1 more source
Template‐based automatic breast segmentation on MRI by excluding the chest region [PDF]
Muqing Lin +5 more
openalex +1 more source
Unsupervised Deep Learning for Stroke Lesion Segmentation on Follow-up CT Based on Generative Adversarial Networks [PDF]
Henk van Voorst +12 more
openalex +1 more source
ABSTRACT Background Managing long COVID in people with multiple sclerosis and related disorders (pwMSRD) is complex due to overlapping symptoms. To address evidence gaps, we evaluated long COVID susceptibility in pwMSRD versus controls and its associations with multi‐domain function and disability.
Chen Hu +15 more
wiley +1 more source
Segmentation of nucleus based on dynamic convolution and deep features of stain distribution
Analysis of the pathology image is important to diagnose cancer of lung, breast and stomach. Segmenting the nucleus is a key step for quantitative analysis, and has significance to the pathology researches and computer aided diagnosis systems.
Haoyang Zhou, Bao Feng, Hongbo Chen
doaj +1 more source
U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images [PDF]
Tao Song +5 more
openalex +1 more source
A comparative study on point cloud down-sampling strategies for deep learning-based crop organ segmentation [PDF]
Dawei Li, Yongchang Wei, Rongsheng Zhu
openalex +1 more source

