Dustin Scheinost

75 papers Misc 2Journal 49Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Governance for anti-racist AI in healthcare: integrating racism-related stress in psychiatric algorithms for Black Americans. Frontiers Digit. Health Christopher T. Fields, Carmen Black, Jannat K. Thind, Oluwole Jegede, Damla Aksen, Matthew Rosenblatt, Shervin Assari, Chyrell Bellamy, Elijah Anderson, Avram Holmes, Dustin Scheinost
2025	—	`conf`	Meta-Learning for Generalizable Connectome Modeling Across Heterogeneous Atlas Spaces. ISBI Qinghao Liang, Brendan Adkinson, Dustin Scheinost
2024	—	`conf`	Overcoming Atlas Heterogeneity in Federated Learning for Cross-Site Connectome-Based Predictive Modeling. MICCAI (10) Qinghao Liang, Brendan Adkinson, Rongtao Jiang, Dustin Scheinost
2024	J	`jnl`	Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases. CoRR Ling Han, Hao Huang, Dustin Scheinost, Mary-Anne Hartley, María Rodríguez Martínez
2023	J	`jnl`	Connectome-based machine learning models are vulnerable to subtle data manipulations. Patterns Matthew Rosenblatt, Raimundo X. Rodriguez, Margaret L. Westwater, Wei Dai, Corey Horien, Abigail S. Greene, R. Todd Constable, Stephanie Noble, Dustin Scheinost
2023	J	`jnl`	Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available. Medical Image Anal. 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, Link Tejavibulya, Wei Dai, Rongtao Jiang, Angeliki Pollatou, Dustin Scheinost
2023	J	`jnl`	Enhancement attacks in biomedical machine learning. CoRR Matthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost
2023	—	`conf`	Gradient-Based Enhancement Attacks in Biomedical Machine Learning. CLIP/FAIMI/EPIMI@MICCAI Matthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost
2023	Misc	`conf`	Stacking multiple optimal transport policies to map functional connectomes. CISS Javid Dadashkarimi, Matthew Rosenblatt, Amin Karbasi, Dustin Scheinost
2022	J	`jnl`	A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome. NeuroImage Kwangsun Yoo, Monica D. Rosenberg, Young Hye Kwon, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
2022	J	`jnl`	Arousal impacts distributed hubs modulating the integration of brain functional connectivity. NeuroImage Kangjoo Lee, Corey Horien, David O'Connor, Bronwen Garand-Sheridan, Fuyuze Tokoglu, Dustin Scheinost, Evelyn M. R. Lake, R. Todd Constable
2022	J	`jnl`	Associations among Household and Neighborhood Socioeconomic Disadvantages, Resting-state Frontoamygdala Connectivity, and Internalizing Symptoms in Youth. J. Cogn. Neurosci. 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
2022	J	`jnl`	Automated Brain Masking of Fetal Functional MRI with Open Data. Neuroinformatics Saige Rutherford, Pascal Sturmfels, Mike Angstadt, Jasmine L. Hect, Jenna Wiens, Marion I. van den Heuvel, Dustin Scheinost, Chandra Sekhar Sripada, Moriah E. Thomason
2022	—	`conf`	Combining Multiple Atlases to Estimate Data-Driven Mappings Between Functional Connectomes Using Optimal Transport. MICCAI (1) Javid Dadashkarimi, Amin Karbasi, Dustin Scheinost
2022	—	`conf`	Data Poisoning Attack and Defenses in Connectome-Based Predictive Models. EPIMI/ML-CDS@MICCAI Matthew Rosenblatt, Dustin Scheinost
2022	J	`jnl`	Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity. NeuroImage Link Tejavibulya, Hannah Peterson, Abigail S. Greene, Siyuan Gao, Max Rolison, Stephanie Noble, Dustin Scheinost
2022	J	`jnl`	Leveraging edge-centric networks complements existing network-level inference for functional connectomes. NeuroImage Raimundo X. Rodriguez, Stephanie Noble, Link Tejavibulya, Dustin Scheinost
2022	—	`conf`	The Semi-constrained Network-Based Statistic (scNBS): Integrating Local and Global Information for Brain Network Inference. MICCAI (1) Wei Dai, Stephanie Noble, Dustin Scheinost
2022	—	`conf`	Transforming Connectomes to "Any" Parcellation via Graph Matching. ISGIE/GRAIL@MICCAI Qinghao Liang, Javid Dadashkarimi, Wei Dai, Amin Karbasi, Joseph Chang, Harrison H. Zhou, Dustin Scheinost
2021	J	`jnl`	BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Anal. Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2021	—	`conf`	Connectome-Based Predictive Modelling With Missing Connectivity Data Using Robust Matrix Completion. ISBI Qinghao Liang, Sahand Negahban, Joseph Chang, Harrison H. Zhou, Dustin Scheinost
2021	—	`conf`	Data-Driven Mapping Between Functional Connectomes Using Optimal Transport. MICCAI (3) Javid Dadashkarimi, Amin Karbasi, Dustin Scheinost
2021	J	`jnl`	Data-driven mapping between functional connectomes using optimal transport. CoRR Javid Dadashkarimi, Amin Karbasi, Dustin Scheinost
2021	J	`jnl`	Resample aggregating improves the generalizability of connectome predictive modeling. NeuroImage David O'Connor, Evelyn M. R. Lake, Dustin Scheinost, R. Todd Constable
2021	J	`jnl`	Smooth graph learning for functional connectivity estimation. NeuroImage Siyuan Gao, Xinyue Xia, Dustin Scheinost, Gal Mishne
2020	J	`jnl`	Cluster failure or power failure? Evaluating sensitivity in cluster-level inference. NeuroImage Stephanie Noble, Dustin Scheinost, R. Todd Constable
2020	J	`jnl`	Connectome-based neurofeedback: A pilot study to improve sustained attention. NeuroImage Dustin Scheinost, Tiffany W. Hsu, Emily W. Avery, Michelle Hampson, R. Todd Constable, Marvin M. Chun, Monica D. Rosenberg
2020	J	`jnl`	Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals. J. Cogn. Neurosci. Emily W. Avery, Kwangsun Yoo, Monica D. Rosenberg, Abigail S. Greene, Siyuan Gao, Duk L. Na, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
2020	J	`jnl`	Functional brain connectivity in ex utero premature infants compared to in utero fetuses. NeuroImage Josepheen De Asis-Cruz, Kushal Kapse, Sudeepta K. Basu, Mariam Said, Dustin Scheinost, Jonathan G. Murnick, Taeun Chang, Adré du Plessis, Catherine Limperopoulos
2020	J	`jnl`	Individualized functional networks reconfigure with cognitive state. NeuroImage Mehraveh Salehi, Amin Karbasi, Daniel S. Barron, Dustin Scheinost, R. Todd Constable
2020	—	`conf`	Poincaré Embedding Reveals Edge-Based Functional Networks of the Brain. MICCAI (7) Siyuan Gao, Gal Mishne, Dustin Scheinost
2020	—	`conf`	The Constrained Network-Based Statistic: A New Level of Inference for Neuroimaging. MICCAI (7) Stephanie Noble, Dustin Scheinost
2020	J	`jnl`	There is no single functional atlas even for a single individual: Functional parcel definitions change with task. NeuroImage Mehraveh Salehi, Abigail S. Greene, Amin Karbasi, Xilin Shen, Dustin Scheinost, R. Todd Constable
2019	—	`conf`	A Hierarchical Manifold Learning Framework for High-Dimensional Neuroimaging Data. IPMI Siyuan Gao, Gal Mishne, Dustin Scheinost
2019	—	`conf`	A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences. CNI@MICCAI Javid Dadashkarimi, Siyuan Gao, Erin Yeagle, Stephanie Noble, Dustin Scheinost
2019	J	`jnl`	A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis. NeuroImage Stephanie Noble, Dustin Scheinost, R. Todd Constable
2019	—	`conf`	Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation Analysis. MICCAI (3) Siyuan Gao, Xilin Shen, R. Todd Constable, Dustin Scheinost
2019	J	`jnl`	Combining multiple connectomes improves predictive modeling of phenotypic measures. NeuroImage Siyuan Gao, Abigail S. Greene, R. Todd Constable, Dustin Scheinost
2019	J	`jnl`	Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies. NeuroImage Angus Ho Ching Fong, Kwangsun Yoo, Monica D. Rosenberg, Sheng Zhang, Chiang-shan Ray Li, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
2019	Misc	`conf`	Motion correction for fetal functional magnetic resonance imaging. CISS Dustin Scheinost
2019	J	`jnl`	Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors. NeuroImage Kwangsun Yoo, Monica D. Rosenberg, Stephanie Noble, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
2019	J	`jnl`	Ten simple rules for predictive modeling of individual differences in neuroimaging. NeuroImage 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, R. Todd Constable
2019	J	`jnl`	The individual functional connectome is unique and stable over months to years. NeuroImage Corey Horien, Xilin Shen, Dustin Scheinost, R. Todd Constable
2018	—	`conf`	A fetal fMRI specific motion correction algorithm using 2 ISBI Dustin Scheinost, John A. Onofrey, Soo Hyun Kwon, Sarah N. Cross, Gordon Sze, Laura R. Ment, Xenophon Papademetris
2018	J	`jnl`	An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks. NeuroImage Mehraveh Salehi, Amin Karbasi, Xilin Shen, Dustin Scheinost, R. Todd Constable
2018	—	`conf`	Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models. MICCAI (3) Siyuan Gao, Abigail S. Greene, R. Todd Constable, Dustin Scheinost
2018	J	`jnl`	Connectome-based Models Predict Separable Components of Attention in Novel Individuals. J. Cogn. Neurosci. Monica D. Rosenberg, Wei-Ting Hsu, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
2018	J	`jnl`	Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets. NeuroImage Kwangsun Yoo, Monica D. Rosenberg, Wei-Ting Hsu, Sheng Zhang, Chiang-shan Ray Li, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
2018	J	`jnl`	Considering factors affecting the connectome-based identification process: Comment on Waller et al. NeuroImage Corey Horien, Stephanie Noble, Emily S. Finn, Xilin Shen, Dustin Scheinost, R. Todd Constable
2018	—	`conf`	Task integration for connectome-based prediction via canonical correlation analysis. ISBI Siyuan Gao, Abigail S. Greene, R. Todd Constable, Dustin Scheinost
2018	J	`jnl`	Time course of clinical change following neurofeedback. NeuroImage Mariela Rance, Christopher Walsh, Denis G. Sukhodolsky, Brian P. Pittman, MaoLin Qiu, Stephen A. Kichuk, Suzanne Wasylink, William N. Koller, Michael Bloch, Patricia Gruner, Dustin Scheinost, Christopher Pittenger, Michelle Hampson
2017	—	`conf`	A Submodular Approach to Create Individualized Parcellations of the Human Brain. MICCAI (1) Mehraveh Salehi, Amin Karbasi, Dustin Scheinost, R. Todd Constable
2017	J	`jnl`	Can brain state be manipulated to emphasize individual differences in functional connectivity? NeuroImage Emily S. Finn, Dustin Scheinost, Daniel M. Finn, Xilin Shen, Xenophon Papademetris, R. Todd Constable
2017	J	`jnl`	Multi-modal analysis of functional connectivity and cerebral blood flow reveals shared and unique effects of propofol in large-scale brain networks. NeuroImage MaoLin Qiu, Dustin Scheinost, Ramachandran Ramani, R. Todd Constable
2017	J	`jnl`	Multisite reliability of MR-based functional connectivity. NeuroImage 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, Doreen M. Olvet, Daniel H. Mathalon, Thomas H. McGlashan, Diana O. Perkins, Aysenil Belger, Larry J. Seidman, Heidi W. Thermenos, Ming T. Tsuang, Theo G. M. van Erp
2016	J	`jnl`	Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks. IEEE Trans. Biomed. Eng. Dustin Scheinost, Fuyuze Tokoglu, Xilin Shen, Emily S. Finn, Stephanie Noble, Xenophon Papademetris, R. Todd Constable
2015	J	`jnl`	Adaptive mechanisms of developing brain: Cerebral lateralization in the prematurely-born. NeuroImage Soo Hyun Kwon, Dustin Scheinost, Cheryl Lacadie, Gordon Sze, Karen C. Schneider, Feng Dai, R. Todd Constable, Laura R. Ment
2015	J	`jnl`	The (in)stability of functional brain network measures across thresholds. NeuroImage Kathleen A. Garrison, Dustin Scheinost, Emily S. Finn, Xilin Shen, R. Todd Constable
2014	J	`jnl`	The impact of image smoothness on intrinsic functional connectivity and head motion confounds. NeuroImage Dustin Scheinost, Xenophon Papademetris, R. Todd Constable
2013	J	`jnl`	A Graphics Processing Unit Accelerated Motion Correction Algorithm and Modular System for Real-time fMRI. Neuroinformatics Dustin Scheinost, Michelle Hampson, MaoLin Qiu, Jitendra Bhawnani, R. Todd Constable, Xenophon Papademetris
2013	J	`jnl`	A left cerebellar pathway mediates language in prematurely-born young adults. NeuroImage 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
2013	—	`conf`	Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data. CDMRI/MMBC@MICCAI Dustin Scheinost, Xilin Shen, Emily S. Finn, Rajita Sinha, R. Todd Constable, Xenophon Papademetris
2013	J	`jnl`	Real-time fMRI links subjective experience with brain activity during focused attention. NeuroImage 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, Xenophon Papademetris, Judson A. Brewer
2012	J	`jnl`	The intrinsic connectivity distribution: A novel contrast measure reflecting voxel level functional connectivity. NeuroImage Dustin Scheinost, Jennifer R. Benjamin, Cheryl Lacadie, Betty R. Vohr, Karen C. Schneider, Laura R. Ment, Xenios Papademetris, R. Todd Constable
2011	J	`jnl`	A non-rigid registration method for serial lower extremity hybrid SPECT/CT imaging. Medical Image Anal. Jung W. Suh, Dustin Scheinost, Donald P. Dione, Lawrence W. Dobrucki, Albert J. Sinusas, Xenophon Papademetris
2011	—	`conf`	Augmented inline-based navigation for stereotactic image guided neurosurgery. ISBI Alark Joshi, Dustin Scheinost, R. Globinsky, Kenneth P. Vives, Dennis D. Spencer, Lawrence H. Staib, Xenophon Papademetris
2011	J	`jnl`	Biofeedback of Real-Time Functional Magnetic Resonance Imaging Data from the Supplementary Motor Area Reduces Functional Connectivity to Subcortical Regions. Brain Connect. Michelle Hampson, Dustin Scheinost, MaoLin Qiu, Jitendra Bhawnani, Cheryl Lacadie, James F. Leckman, R. Todd Constable, Xenophon Papademetris
2011	J	`jnl`	Serial monitoring of endogenous neuroblast migration by cellular MRI. NeuroImage Dorit Granot, Dustin Scheinost, Eleni A. Markakis, Xenios Papademetris, Erik M. Shapiro
2011	J	`jnl`	Unified Framework for Development, Deployment and Robust Testing of Neuroimaging Algorithms. Neuroinformatics Alark Joshi, Dustin Scheinost, Hirohito Okuda, Dominique Belhachemi, Isabella Murphy, Lawrence H. Staib, Xenophon Papademetris
2011	—	`conf`	Whole body nonrigid CT-PET registration using weighted demons. ISBI Jung W. Suh, Oh-K. Kwon, Dustin Scheinost, Albert J. Sinusas, Gary W. Cline, Xenophon Papademetris
2010	—	`conf`	Serial nonrigid vascular registration using weighted normalized mutual information. ISBI Jung W. Suh, Dustin Scheinost, Xiaoning Qian, Albert J. Sinusas, Christopher K. Breuer, Xenophon Papademetris
2009	—	`conf`	A Non-rigid Registration Method for Serial microCT Mouse Hindlimb Images. MICCAI (1) Jung W. Suh, Dustin Scheinost, Donald P. Dione, Lawrence W. Dobrucki, Albert J. Sinusas, Xenophon Papademetris
2009	—	`conf`	An Improved Unbiased Method for Diffspect Quantification in Epilepsy. ISBI Dustin Scheinost, Hal Blumenfeld, Xenophon Papademetris
2009	J	`jnl`	DTI abnormalities in anterior corpus callosum of rats with spike-wave epilepsy. NeuroImage 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
2008	J	`jnl`	Novel interaction techniques forneurosurgical planning and stereotactic navigation. IEEE Trans. Vis. Comput. Graph. Alark Joshi, Dustin Scheinost, Kenneth P. Vives, Dennis D. Spencer, Lawrence H. Staib, Xenophon Papademetris