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BRAINtrinsic: A Virtual Reality-Compatible Tool for Exploring Intrinsic Topologies of the Human Brain Connectome., , , , и . BIH, том 9250 из Lecture Notes in Computer Science, стр. 67-76. Springer, (2015)Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome., , , , , , , , и . ISBI, стр. 169-172. IEEE, (2019)Hierarchical Structural Mapping for Globally Optimized Estimation of Functional Networks., , , , , , , , и . MICCAI (2), том 7511 из Lecture Notes in Computer Science, стр. 228-236. Springer, (2012)TempoCave: Visualizing Dynamic Connectome Datasets to Support Cognitive Behavioral Therapy., , , , и . IEEE VIS (Short Papers), стр. 186-190. IEEE, (2019)Thought Chart: Tracking Dynamic EEG Brain Connectivity with Unsupervised Manifold Learning., , , , , , , , , и . BIH, том 9919 из Lecture Notes in Computer Science, стр. 149-157. (2016)Exploring the Human Connectome Topology in Group Studies., , , , , и . CoRR, (2017)Measuring inter-hemispheric integration in bipolar affective disorder using brain network analyses and HARDI., , , , , , , , , и 1 other автор(ы). ISBI, стр. 5-8. IEEE, (2012)NeuroCave: A Web-based Immersive Visualization Platform for Exploring Connectome Datasets, , , , и . Network Neuroscience, (февраля 2018)Smartphone-derived Virtual Keyboard Dynamics Coupled with Accelerometer Data as a Window into Understanding Brain Health: Smartphone Keyboard and Accelerometer as Window into Brain Health., , , , , , , , , и 5 other автор(ы). CHI, стр. 326:1-326:15. ACM, (2023)A Framework for Quantifying Node-Level Community Structure Group Differences in Brain Connectivity Networks., , , , , , , , , и . MICCAI (2), том 7511 из Lecture Notes in Computer Science, стр. 196-203. Springer, (2012)