Results 111 to 120 of about 9,950,964 (296)

Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs   +7 more
wiley   +1 more source

CP-FN: A Collaborative Perception Fusion Network for Infrared and Visible Image Fusion

open access: yesIEEE Access
Multimodal feature fusion aims to generate fusion results with prominent target features and rich detail information from data of different complementary modalities.
Wentao Jiang, Hanyan Li, Yongtao Li
doaj   +1 more source

Quantitative MRI Uncovers Subtle Cortical Damage in Myelin Oligodendrocyte Glycoprotein Antibody‐Associated Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera   +20 more
wiley   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

A unified multi scale feature enhancement framework for remote sensing object detection

open access: yesScientific Reports
Small object detection in remote sensing is critical for urban planning, environmental monitoring, and disaster response. This task is challenged by extreme scale variations and complex background clutter.
Min Feng, Shuai Wang
doaj   +1 more source

A Dual-Path Multi-Scale Feature Fusion Decoder for SegFormer

open access: yesProcedia Computer Science, 2023
Hongyu Zhang, Suyu Wang, Yingying Zhang
openaire   +2 more sources

The Price of Precision: A Critical Review of Molecular Diagnostics in Glioma, From Guidelines to Global Disparities

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Gliomas have undergone a profound redefinition over the past decade, transitioning from morphology‐based entities to biologically coherent diseases defined by molecular alterations. The 2021 WHO Classification of Tumors of the Central Nervous System and its 2022 update formalize this shift, establishing integrated diagnosis as the global ...
Maria Guarnaccia, Sebastiano Cavallaro
wiley   +1 more source

The Comprehensive Live Cell‐Based Cytotoxicity Assay for Monitoring Disease Activity and Guiding Rescue Therapy in Acute Attacks of NMOSD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neuromyelitis optica spectrum disorder (NMOSD) is a devastating neurological disease that lacks serological biomarkers that can accurately reflect disease activity. We established a live cell‐based assay (LCBA) using serum with endogenous complement to quantify the overall cytotoxicity, offering a novel functional tool for monitoring
Xiaona Xu   +10 more
wiley   +1 more source

VI-MSFFN: A Visible-Infrared Multi-Scale Feature Fusion Network for Cross-Modal Detection in Remote Sensing

open access: yesRemote Sensing
To address the issues of insufficient single-modality robustness and limited multi-scale object detection accuracy in remote sensing image detection (RSID) in complex environments, this paper proposes a multimodal RSID network named VI-MSFFN.
Yurong Yue   +6 more
doaj   +1 more source

Multi-scale feature attention (MS-FA) network.

open access: yes
Accurate bike-sharing demand prediction is crucial for bike allocation rebalancing and station planning. In bike-sharing systems, the bike borrowing and returning behavior exhibit strong spatio-temporal characteristics. Meanwhile, the bike-sharing demand
Ruixue Wu (6071846)   +3 more
core   +1 more source

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