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| Welcome to the webpages of the Biomedical Imaging Research Lab of the [[http://sipi.usc.edu/|Signal and Image Processing Institute]] at [[http://www.usc.edu|USC]]. This website includes an overview of the research activities within the lab, links to software developed and distributed by the lab, links to lab publications and contact info for current and former lab members. | The Biomedical Imaging Group at [[http://www.usc.edu|USC]] is based in the [[http://sipi.usc.edu/|Signal and Image Processing Institute]]. We are dedicated to the development of computational methodology for the formation and analysis of biomedical images. We are currently focused on three main topics: |
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| [[neuro|{{attachment:meg_arrangement_small.jpg}}Home]] | * The analysis of structural brain imaging data * Spatio-temporal modeling of brain activity using electrophysiological data (EEG, MEG and depth recordings) * Molecular imaging with PET |
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| '''Research areas: ''' ||<tablewidth="100%"> [[neuro|{{attachment:meg_arrangement_small.jpg}}]]|| {{attachment:brainfdmap.gif}} {{attachment:brainfdg.gif}} || || {{attachment:pharmonicintro_small2.gif}} || {{attachment:mouse1_small.jpg}} || |
The '''BIG lab''' emphasizes development and distribution of software implementations of our methods – see in particular links to the BrainSuite and BrainStorm software at left.''' ''' <<BR>> {{attachment:mixpic2.png}} <<BR>><<BR>> {{{#!wiki orange/solid '''  News''' * {OK} [06/28/16] Our tNLM paper is accepted by PLOS One. [[tNLM|more]] }}} |
The Biomedical Imaging Group at USC is based in the Signal and Image Processing Institute. We are dedicated to the development of computational methodology for the formation and analysis of biomedical images. We are currently focused on three main topics:
- The analysis of structural brain imaging data
- Spatio-temporal modeling of brain activity using electrophysiological data (EEG, MEG and depth recordings)
- Molecular imaging with PET
The BIG lab emphasizes development and distribution of software implementations of our methods – see in particular links to the BrainSuite and BrainStorm software at left.
News
[06/28/16] Our tNLM paper is accepted by PLOS One. more