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Results 141 to 150 of about 20,375,797 (310)

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

Diseño de espacios académicos b-learning

Le damos la bienvenida a este espacio académico denominado: Diseño de espacios académicos b-learning, esta asignatura brinda las herramientas necesarias para construir paso a paso espacios virtuales de aprendizaje en modalidad b-learning siguiendo las ...
López, Liz Stefany
core +2 more sources

Summer at the Idea Workshop

, 1977
Information on summer classes offered by Learning About ...
Learning About Learning
core

Temporal Interference Stimulation of Centromedian‐Parafascicular Complex in Disorders of Consciousness: A Pilot Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu +7 more
wiley +1 more source

Privacy-Preserving Machine Learning Using Federated and Differential Learning Techniques

The rapid adoption of data-intensive machine learning models has intensified concerns related to data privacy, security, and regulatory compliance, particularly in domains involving sensitive personal information. Traditional centralized learning paradigms require aggregating raw data at a central server, increasing the risk of privacy leakage and ...
openaire +1 more source

Arterial Spin‐Labeling MRI at the Cortical‐CSF Interface: A Novel Biomarker in Alzheimer Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background/Objective Arterial spin‐labeling (ASL) MRI can measure perfusion signal adjacent to CSF spaces and may provide information regarding CSF‐adjacent water transport physiology. We developed an automated pipeline to extract cortical‐CSF interface (IF) perfusion for comparison between Alzheimer disease (AD) and cognitively normal ...
Mona Asghariahmadabad +22 more
wiley +1 more source

Do Something Different

, 1977
Informational booklet on Learning About Learning Educational ...
Learning About Learning
core

Development of an Animal Classification System Using Deep Learning and Transfer Learning

The rapid advancement of deep learning techniques has enabled the development of robust image classification systems. This project focuses on building an animal classification system capable of identifying 15 different animal species from images.
openaire +1 more source

CSF Cytokine Network Organization Predicts Progression Independent of Relapse and MRI Activity in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno +19 more
wiley +1 more source

Influence of a b-learning model to improve perceived stressors in final-year nursing students during clinical placements: a quasi-experimental study. [PDF]

BMC Nurs
Reverté-Villarroya S +5 more
europepmc +1 more source

science general
machine learning