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Dual-calibrated fMRI measurement of absolute cerebral metabolic rate of oxygen consumption and effective oxygen diffusivity.

, , , , , , , , , and . NeuroImage, (2019)

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The use of NASA LANCE imagery and data for Near real-time applications., , , , , , , , , and 8 other author(s). IGARSS, page 5308-5310. IEEE, (2012)Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources., , , , , , , and . IEEE Data Eng. Bull., 39 (2): 106-117 (2016)Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform., , , , and . CVPR, page 4545-4554. IEEE Computer Society, (2016)Implementation of the Land, Atmosphere Near Real-time Capability for EOS (LANCE)., , , , , , , , , and 1 other author(s). IGARSS, page 1442-1445. IEEE, (2010)Measurement of oxygen extraction fraction (OEF): An optimized BOLD signal model for use with hypercapnic and hyperoxic calibration., , , , , , , and . NeuroImage, (2016)Understanding the contribution of neural and physiological signal variation to the low repeatability of emotion-induced BOLD responses., , , and . NeuroImage, (2014)Cleaning up the fMRI time series: Mitigating noise with advanced acquisition and correction strategies., and . NeuroImage, (2017)CNV Workshop: an integrated platform for high-throughput copy number variation discovery and clinical diagnostics., , , , , , , , , and . BMC Bioinformatics, (2010)Deriving the optimal number of events for an event-related fMRI study based on the spatial extent of activation., and . NeuroImage, 27 (4): 771-777 (2005)Speed/accuracy trade-offs for modern convolutional object detectors., , , , , , , , , and 1 other author(s). CoRR, (2016)