Results 181 to 190 of about 926,300 (280)
Reference-guided MRI super-resolution with dual attention aggregation network. [PDF]
Wang L, Chang T, Tan L, Shi B, Zhu Y.
europepmc +1 more source
Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon +12 more
wiley +1 more source
Visually grounded emotion regulation via diffusion models and user-driven reappraisal. [PDF]
Pinzuti E +2 more
europepmc +1 more source
Network Localization of Fatigue in Multiple Sclerosis
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo +12 more
wiley +1 more source
Real-world face super-resolution based on generative adversarial and face alignment networks. [PDF]
Fathy H, Faheem MT, Elbasiony R.
europepmc +1 more source
Frailty Exacerbates Disability in Progressive Multiple Sclerosis
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks +10 more
wiley +1 more source
DR-CLIP: A Deformable Vision-Language Model for Scale-Invariant Object Counting in Remote Sensing Images. [PDF]
Nie J, Liu Q, Li T, Lu X, Zhang L.
europepmc +1 more source
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks. [PDF]
Li Y, Wang W, Lee TS.
europepmc +1 more source
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein +7 more
wiley +1 more source

