Pulse coupled neural network based MRI image enhancement using classical visual receptive field for smarter mobile healthcare
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1868-5145
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
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Pulse coupled neural network based MRI image enhancement using classical visual receptive field for smarter mobile healthcare ; day:23 ; month:10 ; year:2018 ; pages:1-12
Journal of ambient intelligence and humanized computing ; (23.10.2018), 1-12
- Creator
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Nie, Rencan
- Contributor
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He, Min
Cao, Jinde
Zhou, Dongming
Liang, Zifei
SpringerLink (Online service)
- DOI
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10.1007/s12652-018-1098-3
- URN
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urn:nbn:de:101:1-2018113011084886875901
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:44 AM CEST
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Associated
- Nie, Rencan
- He, Min
- Cao, Jinde
- Zhou, Dongming
- Liang, Zifei
- SpringerLink (Online service)
Other Objects (12)
Sparse coding models demonstrate some non-classical receptive field effects
Non-classical receptive field properties reflecting functional aspects of optimal spike based inference
Classical center-surround receptive fields facilitate novel object detection in retinal bipolar cells
Applications of pulse coupled neural networks
Classical conditioning of faciliatory paired-pulse TMS
Estimating neuronal receptive fields
Image processing using pulse coupled neural networks
Image processing using pulse coupled neural networks
Superconducting box coupled to a classical environment
Collective dynamics in networks of pulse coupled oscillators
Reconstructing networks of pulse-coupled oscillators from spike trains
MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION
Sparse coding models demonstrate some non-classical receptive field effects
Non-classical receptive field properties reflecting functional aspects of optimal spike based inference
Classical center-surround receptive fields facilitate novel object detection in retinal bipolar cells
Applications of pulse coupled neural networks
Classical conditioning of faciliatory paired-pulse TMS
Estimating neuronal receptive fields
Image processing using pulse coupled neural networks
Image processing using pulse coupled neural networks
Superconducting box coupled to a classical environment
Collective dynamics in networks of pulse coupled oscillators
Reconstructing networks of pulse-coupled oscillators from spike trains
MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION
Sparse coding models demonstrate some non-classical receptive field effects
Non-classical receptive field properties reflecting functional aspects of optimal spike based inference
Classical center-surround receptive fields facilitate novel object detection in retinal bipolar cells
Applications of pulse coupled neural networks
Classical conditioning of faciliatory paired-pulse TMS
Estimating neuronal receptive fields
Image processing using pulse coupled neural networks
Image processing using pulse coupled neural networks
Superconducting box coupled to a classical environment
Collective dynamics in networks of pulse coupled oscillators
Reconstructing networks of pulse-coupled oscillators from spike trains