PolSAR image classification using shallow to deep feature fusion network with complex valued attention. [PDF]
Alkhatib MQ+4 more
europepmc +1 more source
SARS‐CoV‐2 Is Linked to Brain Volume Loss in Multiple Sclerosis
ABSTRACT Objective The impact of SARS‐CoV‐2 infection on brain and spinal cord pathology in patients with multiple sclerosis (pwMS) remains unclear. We aimed to describe changes in brain lesion activity and brain and spinal cord volumes following SARS‐CoV‐2 infection.
Tomas Uher+12 more
wiley +1 more source
A dual branch feature extraction network for heart sound signal analysis. [PDF]
Chen H, Gu W.
europepmc +1 more source
Phenotyping Healthcare Use 2–3 Decades Before the First Multiple Sclerosis Demyelinating Event
ABSTRACT Objective Phenotype hospital, physician, and emergency department (ED) visits by diagnoses and specialty up to 29 years pre‐multiple sclerosis (MS) onset versus a matched population without MS. Methods We identified people with MS (PwMS) using population‐based administrative data from Ontario, Canada (1991–2020).
Helen Tremlett+8 more
wiley +1 more source
An explainable and efficient deep learning framework for EEG-based diagnosis of Alzheimer's disease and frontotemporal dementia. [PDF]
Khan W+6 more
europepmc +1 more source
Detecting rs‐fMRI Networks in Disorders of Consciousness: Improving Clinical Interpretability
ABSTRACT Background Preserved resting‐state functional MRI (rs‐fMRI) networks are typically observed in Disorders of Consciousness (DOC). Despite the widespread use of rs‐fMRI in DOC, a systematic assessment of networks is needed to improve the interpretability of data in clinical practice.
Jean Paul Medina Carrion+15 more
wiley +1 more source
VGG-EffAttnNet: Hybrid Deep Learning Model for Automated Chili Plant Disease Classification Using VGG16 and EfficientNetB0 With Attention Mechanism. [PDF]
Rani R+5 more
europepmc +1 more source
Rheological Assessment for Determining Form Stability of Wound Dressings. [PDF]
Gefen A+4 more
europepmc +1 more source
WSDC-ViT: a novel transformer network for pneumonia image classification based on windows scalable attention and dynamic rectified linear unit convolutional modules. [PDF]
Gu Y+12 more
europepmc +1 more source