Enhancing vision Mamba with two-dimensional position embedding and multiscale fusion for medical image segmentation. [PDF]
Zhang X +5 more
europepmc +1 more source
MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru +13 more
wiley +1 more source
Enhanced medical image segmentation using optimized bidirectional LSTM and dolphin partner optimizer. [PDF]
Alhassan AM, Altmami NI.
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
A clinically informed automated evaluation pipeline for medical image segmentation based on Medical Similarity Index. [PDF]
Fazekas S +4 more
europepmc +1 more source
Clinical Impact of NOTCH3 Variant Location After First Stroke in CADASIL
ABSTRACT Objective Despite its monogenic origin, Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy exhibits marked variability in clinical expression and severity. Variants in the NOTCH3 gene, within epidermal growth factor‐like repeat domains 1–6 or 7–34, are known to influence disease onset, but their impact ...
Léa Aguilhon +5 more
wiley +1 more source
CFG-MambaNet: Contextual and Frequency-Guided Mamba Network for medical image segmentation. [PDF]
Ren G +13 more
europepmc +1 more source
A Modified Algorithm for Medical Image Segmentation
Medical image segmentation is an actual task in biomedical engineering. It can help physicians analyse the medical image to achieve a more accurate diagnosis. The aim of this work was to develop an effective segmentation algorithm.
Lubāns, Andris +2 more
core
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
MFR-UNet: A Medical Image Segmentation Network With Fused Multi-Scale Feature Refinement. [PDF]
Wang S +7 more
europepmc +1 more source

