DEVELOPMENT OF AN AUTOMATED MRI-BASED DIAGNOSTIC PROTOCOL FOR AMYOTROPHIC LATERAL SCLEROSIS USING DISEASE-SPECIFIC PATHOGNOMONIC FEATURES: A QUANTITATIVE DISEASE-STATE CLASSIFICATION STUDY.

Despite significant advances in quantitative neuroimaging, the diagnosis of ALS remains clinical and MRI-based biomarkers are not currently used to aid the diagnosis.The objective of this study is to develop a robust, disease-specific, multimodal classification scary face silhouette protocol and validate its diagnostic accuracy in independent, earl

Real-time semantic segmentation on embedded devices has recently enjoyed significant gain in popularity, due to the increasing interest in smart vehicles and smart robots.In particular, with the emergence of autonomous driving, low latency and computation-intensive operations lead to new challenges for vehicles and robots, such as excessive computi

Ensuring stability and reliability in power systems requires accurate state estimation, which is challenging due to the growing network size, noisy measurements, and 2000 corvette radiator nonlinear power-flow equations.In this paper, we introduce the Graph Attention Estimation Network (GAEN) model to tackle power system state estimation (PSSE) by

Background.Hypothalamic hamartomas (HHs) are rare knesko coupon code tumor-like malformations that may present with complex partial seizures refractory to anticonvulsants in adulthood.The condition may be misdiagnosed because of rarity.Case Presentation.We report a 25-year-old man with complaint of seizures presented by falling, tonic spasm of limb

We report on the engineering of the phonon dispersion diagram in monodomain anodic porous alumina (APA) films through 2000 corvette radiator the porosity and physical state of the material residing in the nanopores.Lattice symmetry and inclusion materials are theoretically identified to be the main factors which control the hypersonic acoustic wave