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VERSION:2.0
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CALSCALE:GREGORIAN
X-WR-CALNAME:Dell: Deep Latent Space Generative Models Applied to Functiona
 l MRI (fMRI) Data for Generating Synthetic Neuroimages
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260807T113549Z
UID:tag:localist.com\,2008:EventInstance_49297014856763
DTSTART:20250501T200000Z
DTEND:20250501T210000Z
DESCRIPTION:The pursuit of open science is supported by data sharing\, whic
 h fosters a culture of transparency\, enables data-driven discovery\, and 
 promotes knowledge dissemination. However\, concerns about privacy breache
 s and institutional data sharing policies can create barriers to sharing s
 ensitive human subject and patient data\, thereby limiting the potential o
 f open science initiatives. In situations where sharing real data is not p
 ossible\, generating and sharing synthetic data can provide a useful worka
 round. In this blog\, we provide an implementation of Variational Autoenco
 ders (VAE) Generative Models leveraging encoded input data within a Deep L
 atent Space to generate synthetic Functional Magnetic Resonance Imaging (f
 MRI) data that can be shared in place of an actual patient’s scanned dat
 a. We will discuss the trends in accelerating the adoption of GPU compute 
 to further empower fMRI data reconstruction from a data dimension reductio
 n to produce optimal latent variables and ultimately apply stochastic tech
 niques to the data in latent space and generate new synthetic fMRI images.
 \n\n \n\nRegistration is limited to 60.\n\n \n\nPresenter:\n\nAmir Bahmany
 ari\, Advisory AI & Data Science Solutions Architect\, Dell \n\nAccommodat
 ion requests related to a disability should be made to Jared Haddock at ja
 red.haddock@oregonstate.edu or 541-737-2367 at least five (5) business day
 s prior to the event.
GEO:44.559893;-123.279028
LOCATION:CH2M HILL Alumni Center\, 114
SUMMARY:Dell: Deep Latent Space Generative Models Applied to Functional MRI
  (fMRI) Data for Generating Synthetic Neuroimages
URL;VALUE=URI:https://events.oregonstate.edu/event/dell-deep-latent-space-g
 enerative-models-applied-to-functional-mri-fmri-data-for-generating-synthe
 tic-neuroimages
CATEGORIES:Conference or Workshop
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