Spatial frequency - Globe Thesis

Keyword [Spatial frequency] Result: 1 - 19 \| Page: 1 of 1
1.	Magnetoencephalography Research On Checkerboard Pattern Reversal Stimulus
2.	Optical Imaging And Electrophysiological Methods Of Cat Visual Cortex And Acute Elevation Of Intraocular Pressure Of The Impact Of Its Functions
3.	Analysis Of Influencing Factors To The Contrast Sensitivity
4.	Global Visually Cognitive Theory Based On Spatial Frequency Average Power Spectrum
5.	The Neural Basis Underlying Improved Visual Function Of Adult Cats Through Contrast Sensitivity Training At A High Spatial Frequency
6.	Variance Analysis Of Contrast Sensitivity For Amblyopia And Normal Eye Based On Spatial Frequency Channels
7.	The Clinical Observation Of Different Spatial Frequency Visual Evoked Potential In The Treatment Of Amblyopia
8.	TrkB Agnosits Improved Visual Cortical Function In Senscent Monkeys
9.	Research On Time-Spatial-Frequency Domain Finger Motion Recognition Based On SEMG
10.	A Pilot Research On SFDI-based Method For In Vivo Evaluation Of Photodynamic Therapy Of Non-melanoma Skin Cancer
11.	Organization and plasticity of response properties in the primary visual cortex
12.	Quantitative, depth-resolved determination of particle motion using multi-exposure speckle imaging and spatial frequency domain analysis
13.	Spatial Frequency Domain Imaging: Applications in Preclinical Models of Alzheimer's Disease
14.	Anatomical and functional impact of critical brain areas to network activity and basic visual function
15.	Absorption, fluorescence, and dynamic scattering contrast in spatial frequency domain imaging (SFDI)
16.	Computation of the modulation transfer function for an MR imaging system using a polysaccharide tissue-mimicking phantom
17.	Spatial Frequency Domain Optical Tomography For In Vivo Assessment Of Skin Cancer Photodynamic Therapy (PDT)
18.	Spatial Frequency-related Functional Alterations In The Visual Cortices Of Patients With Pathological Myopia Based On FNIRS
19.	Medical Image Classification Technology Based On Deep Learning And Spatial-Frequency Feature Fusion
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