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Re-defining Radiology Quality Assurance (QA) - Artificial Intelligence (AI)-Based QA by Restricted Investigation of Unequal Scores (AQUARIUS).

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Large-scale Kernelized Granger Causality (lsKGC) for inferring topology of directed graphs in brain networks., and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)Large-scale extended Granger causality for classification of marijuana users from functional MRI., and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)Distributed Injection-Locking in Analog Ising Machines to Solve Combinatorial Optimizations.. ISCAS, page 1-5. IEEE, (2020)Re-defining Radiology Quality Assurance (QA) - Artificial Intelligence (AI)-Based QA by Restricted Investigation of Unequal Scores (AQUARIUS)., , and . CoRR, (2022)Leveraging On-Chip Voltage Regulators Against Fault Injection Attacks., and . ACM Great Lakes Symposium on VLSI, page 15-20. ACM, (2019)Investigating Covid-19 pandemic-induced effects on detection of emergent clinical imaging findings by large-scale tracking of utilization and reading results for AI-based image analysis services., , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)Large-scale augmented Granger causality (lsAGC) for connectivity analysis in complex systems: from computer simulations to functional MRI (fMRI)., and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks., and . CoRR, (2020)Bus-Invert Coding as a Low-Power Countermeasure Against Correlation Power Analysis Attack., , and . SLIP, page 1-5. IEEE, (2019)Voltage regulator assisted lightweight countermeasure against fault injection attacks., , and . CoRR, (2020)