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Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations., , , , , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1080-1088. JMLR.org, (2014)An Intracranial Electrophysiology Study of Visual Language Encoding: The Contribution of the Precentral Gyrus to Silent Reading., , , , , and . J. Cogn. Neurosci., 33 (11): 2197-2214 (2021)Network Analysis on Predicting Mean Diffusivity Change at Group Level in Temporal Lobe Epilepsy., , , and . Brain Connect., 6 (8): 607-620 (2016)Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques., , , , , , and . CoRR, (2020)The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models., , , , , , , , , and 10 other author(s). CoRR, (2023)Neural correlates to automatic behavior estimations from RGB-D video in epilepsy unit., , , , , and . EMBC, page 3402-3405. IEEE, (2016)A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines., , , , , , , and . KDD, page 373-382. ACM, (2016)Decrypting "Cryptogenic" Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients., , , , , and . J. Mach. Learn. Res., (2016)Phonetically irregular word pronunciation and cortical thickness in the adult brain., , , , , , , , , and 4 other author(s). NeuroImage, 51 (4): 1453-1458 (2010)Multimodal imaging of repetition priming: Using fMRI, MEG, and intracranial EEG to reveal spatiotemporal profiles of word processing., , , , , , , , , and 5 other author(s). NeuroImage, 53 (2): 707-717 (2010)