Results 271 to 280 of about 592,624 (324)
Tokenization and deep learning architectures in genomics: A comprehensive review. [PDF]
Testagrose C, Boucher C.
europepmc +1 more source
ABSTRACT Objective To distinguish lateralized motor‐ and sensory‐tract damage after acute spinal cord injury (SCI) and explore its predictive power for motor and sensory recovery. Methods Thirty‐five SCI patients (two female) from a multi‐center data set (placebo‐arm of the Nogo‐A‐Inhibition in SCI trial) underwent routine T2‐weighted sagittal MRI ...
Lynn Farner+7 more
wiley +1 more source
Strokeformer: A novel deep learning paradigm training transformer-based architecture for stroke prognosis prediction. [PDF]
Cao M, Jin H, Wang Y, Wang L, Ji J.
europepmc +1 more source
ABSTRACT Background Bladder dysfunction affects over 85% of people with multiple sclerosis (PwMS), yet current assessment methods are limited to periodic in‐clinic evaluations or subjective patient reports, failing to capture real‐world symptom fluctuations.
Valerie J. Block+8 more
wiley +1 more source
Dual-stream hybrid architecture with adaptive multi-scale boundary-aware mechanisms for robust urban change detection in smart cities. [PDF]
Ahmad I+4 more
europepmc +1 more source
ABSTRACT Objective The cervical spinal cord (cSC) is highly relevant to clinical dysfunction in multiple sclerosis (MS) but remains understudied using quantitative magnetic resonance imaging (MRI). We assessed magnetization transfer ratio (MTR), a semi‐quantitative MRI measure sensitive to MS‐related tissue microstructural changes, in the cSC and its ...
Lisa Eunyoung Lee+26 more
wiley +1 more source
Time‐Frequency Fingerprint Analysis in SEEG Source‐Space to Identify the Epileptogenic Zone
ABSTRACT This case study highlights the application of seizure fingerprint analysis in the source‐space of stereo‐EEG (SEEG) data to accurately localize the epileptogenic zone (EZ) in patients with complex cortical malformations. A 25‐year‐old female with extensive bilateral perisylvian polymicrogyria (PMG) presented with intractable focal seizures ...
Yash Shashank Vakilna+10 more
wiley +1 more source
A Transformer-Based Framework With Data Augmentation for Robust Seizure Detection Across Invasive and Noninvasive Neural Recordings. [PDF]
Yuan Y+8 more
europepmc +1 more source
ABSTRACT Objective Spinocerebellar ataxias (SCAs) are a group of genetically heterogeneous neurodegenerative diseases causing progressive deterioration and reduced quality of life. Therapeutic advances have been limited by a lack of sensitive anatomic, functional, or diffusion imaging‐based biomarkers.
David J. Arpin+11 more
wiley +1 more source
Bridging spatiotemporal wildfire prediction and decision modeling using transformer networks and fuzzy inference systems. [PDF]
Dubey P, Dubey P.
europepmc +1 more source