Novel interaction techniques forneurosurgical planning and stereotactic navigation. - Alark Joshi; Dustin Scheinost; Kenneth P. Vives; Dennis D. Spencer; Lawrence H. Staib; Xenophon Papademetris (IEEE Trans. Vis. Comput. Graph., 2008)

An Improved Unbiased Method for Diffspect Quantification in Epilepsy. - Dustin Scheinost; Hal Blumenfeld; Xenophon Papademetris (ISBI, 2009)

A Non-rigid Registration Method for Serial microCT Mouse Hindlimb Images. - Jung W. Suh; Dustin Scheinost; Donald P. Dione; Lawrence W. Dobrucki; Albert J. Sinusas; Xenophon Papademetris (MICCAI (1), 2009)

DTI abnormalities in anterior corpus callosum of rats with spike-wave epilepsy. - H. Chahboune; Asht M. Mishra; Matthew N. DeSalvo; Lawrence H. Staib; Michael J. Purcaro; Dustin Scheinost; Xenios Papademetris; S. J. Fyson; M. L. Lorincz; Vincenzo Crunelli; Fahmeed Hyder; Hal Blumenfeld (NeuroImage, 2009)

Serial nonrigid vascular registration using weighted normalized mutual information. - Jung W. Suh; Dustin Scheinost; Xiaoning Qian; Albert J. Sinusas; Christopher K. Breuer; Xenophon Papademetris (ISBI, 2010)

Augmented inline-based navigation for stereotactic image guided neurosurgery. - Alark Joshi; Dustin Scheinost; R. Globinsky; Kenneth P. Vives; Dennis D. Spencer; Lawrence H. Staib; Xenophon Papademetris (ISBI, 2011)

Whole body nonrigid CT-PET registration using weighted demons. - Jung W. Suh; Oh-K. Kwon; Dustin Scheinost; Albert J. Sinusas; Gary W. Cline; Xenophon Papademetris (ISBI, 2011)

Biofeedback of Real-Time Functional Magnetic Resonance Imaging Data from the Supplementary Motor Area Reduces Functional Connectivity to Subcortical Regions. - Michelle Hampson; Dustin Scheinost; MaoLin Qiu; Jitendra Bhawnani; Cheryl Lacadie; James F. Leckman; R. Todd Constable; Xenophon Papademetris (Brain Connect., 2011)

A non-rigid registration method for serial lower extremity hybrid SPECT/CT imaging. - Jung W. Suh; Dustin Scheinost; Donald P. Dione; Lawrence W. Dobrucki; Albert J. Sinusas; Xenophon Papademetris (Medical Image Anal., 2011)

Serial monitoring of endogenous neuroblast migration by cellular MRI. - Dorit Granot; Dustin Scheinost; Eleni A. Markakis; Xenios Papademetris; Erik M. Shapiro (NeuroImage, 2011)

Unified Framework for Development, Deployment and Robust Testing of Neuroimaging Algorithms. - Alark Joshi; Dustin Scheinost; Hirohito Okuda; Dominique Belhachemi; Isabella Murphy; Lawrence H. Staib; Xenophon Papademetris (Neuroinformatics, 2011)

The intrinsic connectivity distribution: A novel contrast measure reflecting voxel level functional connectivity. - Dustin Scheinost; Jennifer R. Benjamin; Cheryl Lacadie; Betty R. Vohr; Karen C. Schneider; Laura R. Ment; Xenios Papademetris; R. Todd Constable (NeuroImage, 2012)

Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data. - Dustin Scheinost; Xilin Shen; Emily S. Finn; Rajita Sinha; R. Todd Constable; Xenophon Papademetris (CDMRI/MMBC@MICCAI, 2013)

A left cerebellar pathway mediates language in prematurely-born young adults. - R. Todd Constable; Betty R. Vohr; Dustin Scheinost; Jennifer R. Benjamin; Robert K. Fulbright; Cheryl Lacadie; Karen C. Schneider; Karol H. Katz; Heping Zhang; Xenophon Papademetris; Laura R. Ment (NeuroImage, 2013)

Real-time fMRI links subjective experience with brain activity during focused attention. - Kathleen A. Garrison; Dustin Scheinost; Patrick D. Worhunsky; Hani M. Elwafi; Thomas A. Thornhill IV; Evan Thompson; Clifford D. Saron; Gaëlle Desbordes; Hedy Kober; Michelle Hampson; Jeremy R. Gray; R. Todd Constable; et al. (NeuroImage, 2013)

A Graphics Processing Unit Accelerated Motion Correction Algorithm and Modular System for Real-time fMRI. - Dustin Scheinost; Michelle Hampson; MaoLin Qiu; Jitendra Bhawnani; R. Todd Constable; Xenophon Papademetris (Neuroinformatics, 2013)

The impact of image smoothness on intrinsic functional connectivity and head motion confounds. - Dustin Scheinost; Xenophon Papademetris; R. Todd Constable (NeuroImage, 2014)

The (in)stability of functional brain network measures across thresholds. - Kathleen A. Garrison; Dustin Scheinost; Emily S. Finn; Xilin Shen; R. Todd Constable (NeuroImage, 2015)

Adaptive mechanisms of developing brain: Cerebral lateralization in the prematurely-born. - Soo Hyun Kwon; Dustin Scheinost; Cheryl Lacadie; Gordon Sze; Karen C. Schneider; Feng Dai; R. Todd Constable; Laura R. Ment (NeuroImage, 2015)

Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks. - Dustin Scheinost; Fuyuze Tokoglu; Xilin Shen; Emily S. Finn; Stephanie Noble; Xenophon Papademetris; R. Todd Constable (IEEE Trans. Biomed. Eng., 2016)

A Submodular Approach to Create Individualized Parcellations of the Human Brain. - Mehraveh Salehi; Amin Karbasi; Dustin Scheinost; R. Todd Constable (MICCAI (1), 2017)

Can brain state be manipulated to emphasize individual differences in functional connectivity? - Emily S. Finn; Dustin Scheinost; Daniel M. Finn; Xilin Shen; Xenophon Papademetris; R. Todd Constable (NeuroImage, 2017)

Multisite reliability of MR-based functional connectivity. - Stephanie Noble; Dustin Scheinost; Emily S. Finn; Xilin Shen; Xenophon Papademetris; Sarah C. McEwen; Carrie E. Bearden; Jean Addington; Bradley G. Goodyear; Kristin S. Cadenhead; Heline Mirzakhanian; Barbara A. Cornblatt; et al. (NeuroImage, 2017)

Multi-modal analysis of functional connectivity and cerebral blood flow reveals shared and unique effects of propofol in large-scale brain networks. - MaoLin Qiu; Dustin Scheinost; Ramachandran Ramani; R. Todd Constable (NeuroImage, 2017)

Task integration for connectome-based prediction via canonical correlation analysis. - Siyuan Gao; Abigail S. Greene; R. Todd Constable; Dustin Scheinost (ISBI, 2018)

A fetal fMRI specific motion correction algorithm using 2nd order edge features. - Dustin Scheinost; John A. Onofrey; Soo Hyun Kwon; Sarah N. Cross; Gordon Sze; Laura R. Ment; Xenophon Papademetris (ISBI, 2018)

Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models. - Siyuan Gao; Abigail S. Greene; R. Todd Constable; Dustin Scheinost (MICCAI (3), 2018)

Connectome-based Models Predict Separable Components of Attention in Novel Individuals. - Monica D. Rosenberg; Wei-Ting Hsu; Dustin Scheinost; R. Todd Constable; Marvin M. Chun (J. Cogn. Neurosci., 2018)

Considering factors affecting the connectome-based identification process: Comment on Waller et al. - Corey Horien; Stephanie Noble; Emily S. Finn; Xilin Shen; Dustin Scheinost; R. Todd Constable (NeuroImage, 2018)

Time course of clinical change following neurofeedback. - Mariela Rance; Christopher Walsh; Denis G. Sukhodolsky; Brian Pittman; MaoLin Qiu; Stephen A. Kichuk; Suzanne Wasylink; William N. Koller; Michael Bloch; Patricia Gruner; Dustin Scheinost; Christopher Pittenger; et al. (NeuroImage, 2018)

An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks. - Mehraveh Salehi; Amin Karbasi; Xilin Shen; Dustin Scheinost; R. Todd Constable (NeuroImage, 2018)

Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets. - Kwangsun Yoo; Monica D. Rosenberg; Wei-Ting Hsu; Sheng Zhang 005; Chiang-shan Ray Li; Dustin Scheinost; R. Todd Constable; Marvin M. Chun (NeuroImage, 2018)

Motion correction for fetal functional magnetic resonance imaging. - Dustin Scheinost (CISS, 2019)

A Hierarchical Manifold Learning Framework for High-Dimensional Neuroimaging Data. - Siyuan Gao; Gal Mishne; Dustin Scheinost (IPMI, 2019)

A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences. - Javid Dadashkarimi; Siyuan Gao; Erin Yeagle; Stephanie Noble; Dustin Scheinost (CNI@MICCAI, 2019)

Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation Analysis. - Siyuan Gao; Xilin Shen; R. Todd Constable; Dustin Scheinost (MICCAI (3), 2019)

Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies. - Angus Ho Ching Fong; Kwangsun Yoo; Monica D. Rosenberg; Sheng Zhang 005; Chiang-shan Ray Li; Dustin Scheinost; R. Todd Constable; Marvin M. Chun (NeuroImage, 2019)

Combining multiple connectomes improves predictive modeling of phenotypic measures. - Siyuan Gao; Abigail S. Greene; R. Todd Constable; Dustin Scheinost (NeuroImage, 2019)

The individual functional connectome is unique and stable over months to years. - Corey Horien; Xilin Shen; Dustin Scheinost; R. Todd Constable (NeuroImage, 2019)

A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis. - Stephanie Noble; Dustin Scheinost; R. Todd Constable (NeuroImage, 2019)

Ten simple rules for predictive modeling of individual differences in neuroimaging. - Dustin Scheinost; Stephanie Noble; Corey Horien; Abigail S. Greene; Evelyn M. R. Lake; Mehraveh Salehi; Siyuan Gao; Xilin Shen; David O'Connor; Daniel S. Barron; Sarah W. Yip; Monica D. Rosenberg; et al. (NeuroImage, 2019)

Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors. - Kwangsun Yoo; Monica D. Rosenberg; Stephanie Noble; Dustin Scheinost; R. Todd Constable; Marvin M. Chun (NeuroImage, 2019)

Poincaré Embedding Reveals Edge-Based Functional Networks of the Brain. - Siyuan Gao; Gal Mishne; Dustin Scheinost (MICCAI (7), 2020)

The Constrained Network-Based Statistic: A New Level of Inference for Neuroimaging. - Stephanie Noble; Dustin Scheinost (MICCAI (7), 2020)

Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals. - Emily W. Avery; Kwangsun Yoo; Monica D. Rosenberg; Abigail S. Greene; Siyuan Gao; Duk L. Na; Dustin Scheinost; R. Todd Constable; Marvin M. Chun (J. Cogn. Neurosci., 2020)

Functional brain connectivity in ex utero premature infants compared to in utero fetuses. - Josepheen De Asis-Cruz; Kushal Kapse; Sudeepta K. Basu; Mariam Said; Dustin Scheinost; Jonathan G. Murnick; Taeun Chang; Adré du Plessis; Catherine Limperopoulos (NeuroImage, 2020)

Cluster failure or power failure? Evaluating sensitivity in cluster-level inference. - Stephanie Noble; Dustin Scheinost; R. Todd Constable (NeuroImage, 2020)

There is no single functional atlas even for a single individual: Functional parcel definitions change with task. - Mehraveh Salehi; Abigail S. Greene; Amin Karbasi; Xilin Shen; Dustin Scheinost; R. Todd Constable (NeuroImage, 2020)

Individualized functional networks reconfigure with cognitive state. - Mehraveh Salehi; Amin Karbasi; Daniel S. Barron; Dustin Scheinost; R. Todd Constable (NeuroImage, 2020)

Connectome-based neurofeedback: A pilot study to improve sustained attention. - Dustin Scheinost; Tiffany W. Hsu; Emily W. Avery; Michelle Hampson; R. Todd Constable; Marvin M. Chun; Monica D. Rosenberg (NeuroImage, 2020)

Connectome-Based Predictive Modelling With Missing Connectivity Data Using Robust Matrix Completion. - Qinghao Liang; Sahand Negahban; Joseph Chang; Harrison H. Zhou; Dustin Scheinost (ISBI, 2021)

Data-Driven Mapping Between Functional Connectomes Using Optimal Transport. - Javid Dadashkarimi; Amin Karbasi; Dustin Scheinost (MICCAI (3), 2021)

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. - Xiaoxiao Li; Yuan Zhou 004; Nicha C. Dvornek; Muhan Zhang; Siyuan Gao; Juntang Zhuang; Dustin Scheinost; Lawrence H. Staib; Pamela Ventola; James S. Duncan (Medical Image Anal., 2021)

Smooth graph learning for functional connectivity estimation. - Siyuan Gao; Xinyue Xia; Dustin Scheinost; Gal Mishne (NeuroImage, 2021)

Resample aggregating improves the generalizability of connectome predictive modeling. - David O'Connor; Evelyn M. R. Lake; Dustin Scheinost; R. Todd Constable (NeuroImage, 2021)

Combining Multiple Atlases to Estimate Data-Driven Mappings Between Functional Connectomes Using Optimal Transport. - Javid Dadashkarimi; Amin Karbasi; Dustin Scheinost (MICCAI (1), 2022)

The Semi-constrained Network-Based Statistic (scNBS): Integrating Local and Global Information for Brain Network Inference. - Wei Dai; Stephanie Noble; Dustin Scheinost (MICCAI (1), 2022)

Transforming Connectomes to "Any" Parcellation via Graph Matching. - Qinghao Liang; Javid Dadashkarimi; Wei Dai; Amin Karbasi; Joseph Chang; Harrison H. Zhou; Dustin Scheinost (ISGIE/GRAIL@MICCAI, 2022)

Data Poisoning Attack and Defenses in Connectome-Based Predictive Models. - Matthew Rosenblatt; Dustin Scheinost (EPIMI/ML-CDS@MICCAI, 2022)

Associations among Household and Neighborhood Socioeconomic Disadvantages, Resting-state Frontoamygdala Connectivity, and Internalizing Symptoms in Youth. - Ka I. Ip; Lucinda M. Sisk; Corey Horien; May I. Conley; Kristina M. Rapuano; Monica D. Rosenberg; Abigail S. Greene; Dustin Scheinost; R. Todd Constable; B. J. Casey; Arielle Baskin-Sommers; Dylan G. Gee (J. Cogn. Neurosci., 2022)

Arousal impacts distributed hubs modulating the integration of brain functional connectivity. - Kangjoo Lee; Corey Horien; David O'Connor; Bronwen Garand-Sheridan; Fuyuze Tokoglu; Dustin Scheinost; Evelyn M. R. Lake; R. Todd Constable (NeuroImage, 2022)

Leveraging edge-centric networks complements existing network-level inference for functional connectomes. - Raimundo X. Rodriguez; Stephanie Noble; Link Tejavibulya; Dustin Scheinost (NeuroImage, 2022)

Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity. - Link Tejavibulya; Hannah Peterson; Abigail S. Greene; Siyuan Gao; Max Rolison; Stephanie Noble; Dustin Scheinost (NeuroImage, 2022)

A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome. - Kwangsun Yoo; Monica D. Rosenberg; Young Hye Kwon; Dustin Scheinost; R. Todd Constable; Marvin M. Chun (NeuroImage, 2022)

Automated Brain Masking of Fetal Functional MRI with Open Data. - Saige Rutherford; Pascal Sturmfels; Mike Angstadt; Jasmine L. Hect; Jenna Wiens; Marion I. van den Heuvel; Dustin Scheinost; Chandra Sekhar Sripada; Moriah E. Thomason (Neuroinformatics, 2022)

Stacking multiple optimal transport policies to map functional connectomes. - Javid Dadashkarimi; Matthew Rosenblatt; Amin Karbasi; Dustin Scheinost (CISS, 2023)

Gradient-Based Enhancement Attacks in Biomedical Machine Learning. - Matthew Rosenblatt; Javid Dadashkarimi; Dustin Scheinost (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Enhancement attacks in biomedical machine learning. - Matthew Rosenblatt; Javid Dadashkarimi; Dustin Scheinost (CoRR, 2023)

Connectome-based machine learning models are vulnerable to subtle data manipulations. - Matthew Rosenblatt; Raimundo X. Rodriguez; Margaret L. Westwater; Wei Dai; Corey Horien; Abigail S. Greene; R. Todd Constable; Stephanie Noble; Dustin Scheinost (Patterns, 2023)

Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available. - Javid Dadashkarimi; Amin Karbasi; Qinghao Liang; Matthew Rosenblatt; Stephanie Noble; Maya Foster; Raimundo X. Rodriguez; Brendan Adkinson; Jean Ye; Huili Sun; Chris Camp; Michael Farruggia; et al. (Medical Image Anal., 2023)

Overcoming Atlas Heterogeneity in Federated Learning for Cross-Site Connectome-Based Predictive Modeling. - Qinghao Liang; Brendan Adkinson; Rongtao Jiang; Dustin Scheinost (MICCAI (10), 2024)

Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases. - Ling Han; Hao Huang 001; Dustin Scheinost; Mary-Anne Hartley; María Rodríguez Martínez (CoRR, 2024)

Meta-Learning for Generalizable Connectome Modeling Across Heterogeneous Atlas Spaces. - Qinghao Liang; Brendan Adkinson; Dustin Scheinost (ISBI, 2025)