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An Unsupervised Feature Learning Approach for Elucidating Hidden Dynamics in rs-fMRI Functional Network Connectivity.

, , , and . EMBC, page 4449-4452. IEEE, (2022)

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Temperature Compensation in CMOS Peaking Current References., , , and . IEEE Trans. Circuits Syst. II Express Briefs, 65-II (9): 1139-1143 (2018)Visualizing functional network connectivity difference between middle adult and older subjects using an explainable machine-learning method., , and . BIBE, page 955-960. IEEE, (2020)Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder., , , , , , , , , and 4 other author(s). EMBC, page 1493-1496. IEEE, (2020)Hierarchical Neural Network with Layer-wise Relevance Propagation for Interpretable Multiclass Neural State Classification., , , and . NER, page 351-354. IEEE, (2021)A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia., , , , , and . SSIAI, page 112-115. IEEE, (2020)A 3-D inductive powering approach dedicated to implantable/wearable biomedical microsystems., , , , and . BioCAS, page 424-427. IEEE, (2014)A low-power temperature-compensated CMOS peaking current reference in subthreshold region., , , , , and . ISCAS, page 1-4. IEEE, (2017)Dynamic patterns within the default mode network in schizophrenia subgroups., , , and . EMBC, page 1640-1643. IEEE, (2021)A two-step clustering-based pipeline for big dynamic functional network connectivity data., , , and . EMBC, page 3741-3744. IEEE, (2022)Amygdala Stimulation Leads to Functional Network Connectivity State Transitions in the Hippocampus., , , , , , , and . EMBC, page 3625-3628. IEEE, (2020)