Results 151 to 160 of about 10,813,722 (307)
Hyperspectral Image Super-Resolution Based on Feature Diversity Extraction
Deep learning is an important research topic in the field of image super-resolution. Problematically, the performance of existing hyperspectral image super-resolution networks is limited by feature learning for hyperspectral images.
Yi Wang +7 more
core +1 more source
Single Image Super Resolution: Edge Based Techniques [PDF]
, 2017 Super-resolution image reconstruction provides an effective way to increase image resolution from a single or multiple low resolution images. There exists various single image super-resolution based on different assumptions, amongst which edge adaptive ...
Shejwal, Sonali +2 more
core
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source
Overcoming Registration Uncertainty in Image Super-Resolution: Maximize or Marginalize?
EURASIP Journal on Advances in Signal Processing, 2007 In multiple-image super-resolution, a high-resolution image is estimated from a number of lower-resolution images. This usually involves computing the parameters of a generative imaging model (such as geometric and photometric registration, and blur ...
Pickup Lyndsey C +3 more
doaj
Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen +6 more
wiley +1 more source
Image super-resolution via saliency sparse representation
, 2014 The paper proposes a new approach to single-image super resolution (SR), which is based on sparse representation. Previous researchers just focus on the global intensive patch, without local intensive patch.
Zhang, Xue Jun, Hu, Bing Liang
core
Claustrum Involvement in New Onset Refractory Status Epilepticus: A Systematic Review
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT The claustrum sign is a distinctive neuroimaging finding characterized by bilateral T2/FLAIR hyperintensity of the claustrum, one of the most interconnected regions of the human brain. It was first described in new‐onset refractory status epilepticus (NORSE) and febrile infection–related epilepsy syndrome (FIRES).
Margherita Burani +5 more
wiley +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
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Gliomas have undergone a profound redefinition over the past decade, transitioning from morphology‐based entities to biologically coherent diseases defined by molecular alterations. The 2021 WHO Classification of Tumors of the Central Nervous System and its 2022 update formalize this shift, establishing integrated diagnosis as the global ...
Maria Guarnaccia, Sebastiano Cavallaro
wiley +1 more source