Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets is a research paper published in PubMed (2025). On theSindex it has a DataRank of 0. It has been cited 8 times.
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NCATS NIH HHS
Grant: UL1 TR000445
NIA NIH HHS
Grant: U24 AG074855
NICHD NIH HHS
Grant: P50 HD103537
NIBIB NIH HHS
Grant: K01 EB032898
NIH HHS
Grant: S10 OD020154
NIBIB NIH HHS
Grant: R01 EB017230
NIH HHS
Grant: S10 OD023680
NIA NIH HHS
Grant: U01 AG068057
NIA NIH HHS
Grant: K01 AG073584
NCATS NIH HHS
Grant: UL1 TR002243
NIA NIH HHS
Grant: R01 AG059716
National Institutes of Health
Grant: 1S10OD023680-01
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GPU-Accelerated Parallel Computer for Drug Discovery Applications
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The Vanderbilt Institute for Clinical and Translational Research (VICTR)
National Institutes of Health
Grant: 3U24AG074855-03S1
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National Institutes of Health
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Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks
National Institutes of Health
Grant: 5UL1TR002243-05
Vanderbilt Institute for Clinical and Translational Research (VICTR)
National Institutes of Health
Grant: 1R01EB017230-01A1
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRI
National Institutes of Health
Grant: 5K01AG073584-03
Genetic Contributors to White Matter Microstructure in Aging and Alzheimers Disease
National Institutes of Health
Grant: 5K01EB032898-03
Microstructure and connectivity modeling from the cortex to the spinal cord in Multiple Sclerosis
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