Results 131 to 140 of about 8,736,056 (314)
Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi +8 more
wiley +1 more source
Research on rock permeability plays a crucial role in understanding fluid flow in geological formations, which contributes significantly to addressing challenges in sustainable energy production and CO2 sequestration.
Li, Haotian, Aslam, Billal, Yan, Bicheng
core +1 more source
Journal of Marine Science and EngineeringAutonomous inspection of ballast water tanks requires three-dimensional (3D) LiDAR-based simultaneous localization and mapping (SLAM) in Global Positioning System (GPS)-denied, geometrically repetitive interiors, where sensing, mapping, and control ...
Sanghyun Cha, Wonchul Yoo, Tae-wan Kim
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source
Sensory-memory interactions via modular structure explain errors in visual working memory
eLifeErrors in stimulus estimation reveal how stimulus representation changes during cognitive processes. Repulsive bias and minimum variance observed near cardinal axes are well-known error patterns typically associated with visual orientation perception ...
Jun Yang, Hanqi Zhang, Sukbin Lim
doaj +1 more source
Annals 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 for medical image analysis /
"Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts ...
Zhou, S. Kevin,editor. +2 more
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Deep learning in polyp segmentation
, 2022 reservedA. Note identificative Laureanda Ezeobi Francisca Chidubem Titolo della tesi: "Reti neurali profonde per segmentazione di polipi" Corso di laurea in Ingegneria Informatica Relatore: Prof. Nanni Loris B.
EZEOBI, FRANCISCA CHIDUBEM
core
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals 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