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Automated classification of fMRI data employing trial-based imagery tasks., , , and . Medical Image Analysis, 13 (3): 392-404 (2009)Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks., , , and . NeuroImage, (2017)A Preliminary Study on Neural Basis of Collaboration as Mediated by the Level of Reasoning., , , and . ICONIP (1), volume 8226 of Lecture Notes in Computer Science, page 50-56. Springer, (2013)Acoustic Simulation for Transcranial Focused Ultrasound Using GAN-Based Synthetic CT., , , , and . IEEE J. Biomed. Health Informatics, 26 (1): 161-171 (2022)A constrained alternating least squares nonnegative matrix factorization algorithm enhances task-related neuronal activity detection from single subject's fMRI data., , and . ICMLC, page 338-343. IEEE, (2011)Mind reading: An automated classification of thought processes from imagery fMRI data., , , and . ICMLC, page 3174-3179. IEEE, (2010)Pseudo-real fMRI data generation and its utility toward quantitative evaluation of analytical methods., and . SMC, page 1095-1099. IEEE, (2012)Practical Consideration Factors to Design Array Configuration of Direction Finding System for Airborne Signal Intelligence., , , , and . Security and Communication Networks, (2018)3D convolutional neural network for feature extraction and classification of fMRI volumes., , and . PRNI, page 1-4. IEEE, (2018)Iterative approach of dual regression with a sparse prior enhances the performance of independent component analysis for group functional magnetic resonance imaging (fMRI) data., , and . NeuroImage, 63 (4): 1864-1889 (2012)