Robyn L. Miller

84 papers B 1C 8Misc 1Journal 29Unranked 45

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks. Medical Image Anal. Bishal Thapaliya, Robyn L. Miller, Jiayu Chen, Yu-Ping Wang, Esra Akbas, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Santosh Ghimire, Vince D. Calhoun, Jingyu Liu
2024	J	`jnl`	A Dynamic Entropy Approach Reveals Reduced Functional Network Connectivity Trajectory Complexity in Schizophrenia. Entropy David Sutherland Blair, Robyn L. Miller, Vince D. Calhoun
2024	—	`conf`	Capturing Stretching and Shrinking of Inter-Network Temporal Coupling in FMRI Via WARP Elasticity. ISBI Sir-Lord Wiafe, Ashkan Faghiri, Zening Fu, Robyn L. Miller, Vince D. Calhoun
2024	—	`conf`	Cross-Sampling Rate Transfer Learning for Enhanced Raw EEG Deep Learning Classifier Performance in Major Depressive Disorder Diagnosis. ISBI Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2024	J	`jnl`	DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks. CoRR Bishal Thapaliya, Robyn L. Miller, Jiayu Chen, Yu-Ping Wang, Esra Akbas, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Santosh Ghimire, Vince D. Calhoun, Jingyu Liu
2024	—	`conf`	Distribution of Connectivity Strengths Across Functional Regions has Higher Entropy in Schizophrenia Patients than in Controls. SSIAI Natalia Maksymchuk, Robyn L. Miller, Vince D. Calhoun
2024	—	`conf`	Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram Data. EMBC Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2024	—	`conf`	Exploring Schizophrenia Classification in fMRI Data: A Common Spatial Patterns(CSP) Approach for Enhanced Feature Extraction and Classification. EMBC M. Moein Esfahani, Robyn L. Miller, Vince D. Calhoun
2024	J	`jnl`	Generative forecasting of brain activity enhances Alzheimer's classification and interpretation. CoRR Yutong Gao, Vince D. Calhoun, Robyn L. Miller
2024	—	`conf`	Identifying EEG Biomarkers of Depression with Novel Explainable Deep Learning Architectures. xAI (4) Charles A. Ellis, Martina Lapera Sancho, Robyn L. Miller, Vince D. Calhoun
2024	—	`conf`	Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning Approach. EMBC Martina Lapera Sancho, Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2024	—	`conf`	Improving Age Prediction: Utilizing LSTM-Based Dynamic Forecasting For Data Augmentation in Multivariate Time Series Analysis. SSIAI Yutong Gao, Charles A. Ellis, Vince D. Calhoun, Robyn L. Miller
2024	J	`jnl`	Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse. CoRR Bradley T. Baker, Barak A. Pearlmutter, Robyn L. Miller, Vince D. Calhoun, Sergey M. Plis
2024	—	`conf`	Markov Spatial Flows in Bold FMRI: A Novel Lens on the Bold Signal Applied To an Imaging Study of Schizophrenia. SSIAI Robyn L. Miller, Victor M. Vergara, Vince D. Calhoun
2024	—	`conf`	Uncovering Effects of Schizophrenia upon a Maximally Significant, Minimally Complex Subset of Default Mode Network Connectivity Features. EMBC Masoud Seraji, Charles A. Ellis, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun
2023	—	`conf`	A Convolutional Autoencoder-based Explainable Clustering Approach for Resting-State EEG Analysis. EMBC Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2023	—	`conf`	A Novel Explainable Fuzzy Clustering Approach for fMRI Dynamic Functional Network Connectivity Analysis. EMBC Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2023	C	`conf`	An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-Based Schizophrenia Diagnosis. BIBE Abhinav Sattiraju, Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2023	J	`jnl`	Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease. Brain Connect. Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Zening Fu, Jingyu Liu, Yuhui Du, Elizabeth Mormino, David H. Salat, Vince D. Calhoun, Robyn L. Miller
2023	—	`conf`	Hyperlocal Spatial Flows in BOLD fMRI Expose Novel Brain-Based Correlates of Schizophrenia. EMBC Robyn L. Miller, Victor M. Vergara, Vince D. Calhoun
2023	—	`conf`	Identifying Neuropsychiatric Disorder Subtypes and Subtype-Dependent Variation in Diagnostic Deep Learning Classifier Performance. ISBI Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2023	—	`conf`	Improving Explainability for Single-Channel EEG Deep Learning Classifiers via Interpretable Filters and Activation Analysis. BIBM Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2023	—	`conf`	Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage Data. BIBM Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun
2023	J	`jnl`	Improving age prediction: Utilizing LSTM-based dynamic forecasting for data augmentation in multivariate time series analysis. CoRR Yutong Gao, Charles A. Ellis, Vince D. Calhoun, Robyn L. Miller
2023	J	`jnl`	Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment. Comput. Biol. Medicine Yutong Gao, Noah Lewis, Vince D. Calhoun, Robyn L. Miller
2023	—	`conf`	Local Spatial Flow Strengths in Bold FMRI are Strongly Impacted by Schizophrenia. ICASSP Workshops Robyn L. Miller, Victor M. Vergara, Helen Petropoulos, Vince D. Calhoun
2023	—	`conf`	Network Differential in Gaussian Graphical Models from Multimodal Neuroimaging Data. EMBC Haleh Falakshahi, Hooman Rokham, Robyn L. Miller, Jean Liu, Vince D. Calhoun
2023	—	`conf`	Neuropsychiatric Disorder Subtyping Via Clustered Deep Learning Classifier Explanations. EMBC Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2023	—	`conf`	Novel Approach Explains Spatio-Spectral Interactions In Raw Electroencephalogram Deep Learning Classifiers. ICASSP Workshops Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun
2023	J	`jnl`	Novel methods for elucidating modality importance in multimodal electrophysiology classifiers. Frontiers Neuroinformatics Charles A. Ellis, Mohammad S. Eslampanah Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller, Vince D. Calhoun
2023	—	`conf`	Topological Correction of Subject-Level Intrinsic Connectivity Networks. ISBI Noah Lewis, Armin Iraji, Robyn L. Miller, Vince D. Calhoun
2022	—	`conf`	A Model Visualization-based Approach for Insight into Waveforms and Spectra Learned by CNNs. EMBC Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2022	J	`jnl`	A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data. Frontiers Neuroinformatics Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2022	—	`conf`	A two-step clustering-based pipeline for big dynamic functional network connectivity data. EMBC Mohammad S. Eslampanah Sendi, Robyn L. Miller, David H. Salat, Vince D. Calhoun
2022	C	`conf`	An Approach for Estimating Explanation Uncertainty in fMRI dFNC Classification. BIBE Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2022	—	`conf`	An Unsupervised Feature Learning Approach for Elucidating Hidden Dynamics in rs-fMRI Functional Network Connectivity. EMBC Charles A. Ellis, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun
2022	J	`jnl`	CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs. CoRR Eloy Geenjaar, Noah Lewis, Amrit Kashyap, Robyn L. Miller, Vince D. Calhoun
2022	—	`conf`	Comparison of Energy Signals from the 4D DWT of Resting State FMRI Data Obtained from a Study on Schizophrenia. EMBC Michael Weeks, Vince D. Calhoun, Robyn L. Miller
2022	C	`conf`	Examining Effects of Schizophrenia on EEG with Explainable Deep Learning Models. BIBE Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun
2022	C	`conf`	Examining Reproducibility of EEG Schizophrenia Biomarkers Across Explainable Machine Learning Models. BIBE Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun
2022	C	`conf`	Exploring Relationships between Functional Network Connectivity and Cognition with an Explainable Clustering Approach. BIBE Charles A. Ellis, Martina Lapera Sancho, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun
2022	J	`jnl`	Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data. CoRR Eloy Geenjaar, Amrit Kashyap, Noah Lewis, Robyn L. Miller, Vince D. Calhoun
2022	—	`conf`	Transient Intervals of Significantly Different Whole Brain Connectivity Predict Recovery vs. Progression from Mild Cognitive Impairment: New Insights from Interpretable LSTM Classifiers. EMBC Yutong Gao, Vince D. Calhoun, Robyn L. Miller
2021	—	`conf`	3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia. ISBI Shile Qi, Sergey M. Plis, Robyn L. Miller, Rogers F. Silva, Victor M. Vergara, Rongtao Jiang, Dongmei Zhi, Jing Sui, Vince D. Calhoun
2021	C	`conf`	A Gradient-based Approach for Explaining Multimodal Deep Learning Classifiers. BIBE Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Robyn L. Miller, May D. Wang
2021	—	`conf`	A Method for Integrative Analysis of Local and Global Brain Dynamics. EMBC Robyn L. Miller, Victor M. Vergara, Vince D. Calhoun
2021	—	`conf`	A Novel Activation Maximization-based Approach for Insight into Electrophysiology Classifiers. BIBM Charles A. Ellis, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun
2021	C	`conf`	A Novel Local Ablation Approach for Explaining Multimodal Classifiers. BIBE Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Mohammad S. Eslampanah Sendi, May D. Wang, Robyn L. Miller
2021	C	`conf`	A Novel Local Explainability Approach for Spectral Insight into Raw EEG-based Deep Learning Classifiers. BIBE Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
2021	J	`jnl`	Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder. Brain Connect. Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Jing Sui, Zening Fu, Dongmei Zhi, Luxian Lv, Xiaohong Ma, Qing Ke, Xianbin Li, Chuanyue Wang, Christopher C. Abbott, Jessica A. Turner, Robyn L. Miller, Vince D. Calhoun
2021	J	`jnl`	Algorithm-Agnostic Explainability for Unsupervised Clustering. CoRR Charles A. Ellis, Mohammad S. Eslampanah Sendi, Sergey M. Plis, Robyn L. Miller, Vince D. Calhoun
2021	—	`conf`	Can recurrent models know more than we do? ICHI Noah Lewis, Robyn L. Miller, Harshvardhan Gazula, Md Mahfuzur Rahman, Armin Iraji, Vince D. Calhoun, Sergey M. Plis
2021	J	`jnl`	Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia. NeuroImage Zening Fu, Armin Iraji, Jessica A. Turner, Jing Sui, Robyn L. Miller, Godfrey D. Pearlson, Vince D. Calhoun
2021	—	`conf`	Explainable Sleep Stage Classification with Multimodal Electrophysiology Time-series EMBC Charles A. Ellis, Rongen Zhang, Darwin A. Carbajal, Robyn L. Miller, Vince D. Calhoun, May D. Wang
2021	—	`conf`	Multiframe Evolving Dynamic Functional Network Connectivity Motifs (Evodfncs) from Continuity-Preserving Planar Embedding. EMBC Robyn L. Miller, Victor M. Vergara, Vince D. Calhoun
2020	—	`conf`	A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia. SSIAI Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Zening Fu, Babak Mahmoudi, Robyn L. Miller, Vince D. Calhoun
2020	—	`conf`	Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. EMBC Elaheh Zendehrouh, Mohammad S. Eslampanah Sendi, Jing Sui, Zening Fu, Dongmei Zhi, Luxian Lv, Xiaohong Ma, Qing Ke, Xianbin Li, Chuanyue Wang, Christopher C. Abbott, Jessica A. Turner, Robyn L. Miller, Vince D. Calhoun
2020	B	`conf`	Hybrid dictionary learning-ICA approaches built on novel instantaneous dynamic connectivity metric provide new multiscale insights into dynamic brain connectivity. Image Processing Robyn L. Miller, Vince D. Calhoun
2020	—	`conf`	Transient Spectral Peak Analysis Reveals Distinct Temporal Activation Profiles for Different Functional Brain Networks. SSIAI Robyn L. Miller, Vince D. Calhoun
2019	J	`jnl`	A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study. NeuroImage Barnaly Rashid, Jiayu Chen, Ishtiaque Rashid, Eswar Damaraju, Jingyu Liu, Robyn L. Miller, Oktay Agcaoglu, Theo G. M. van Erp, Kelvin O. Lim, Jessica A. Turner, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Vince D. Calhoun
2018	J	`jnl`	Corrigendum to "Lateralization of resting state networks and relationship to age and gender" [NeuroImage 104 (2015) 310-325]. NeuroImage Oktay Agcaoglu, Robyn L. Miller, Andrew R. Mayer, Kenneth Hugdahl, Vince D. Calhoun
2018	—	`conf`	Dynamic Whole Brain Polarity Regimes Strongly Distinguish Controls from Schizophrenia Patients. PRNI Robyn L. Miller, Vince D. Calhoun
2018	J	`jnl`	Mapping and interpreting the dynamic connectivity of the brain. NeuroImage Catie Chang, Shella D. Keilholz, Robyn L. Miller, Mark W. Woolrich
2018	J	`jnl`	Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications. CoRR A. Hunter, Bryan A. Moore, Maruti Kumar Mudunuru, Viet T. Chau, Robyn L. Miller, Roselyne B. Tchoua, C. Nyshadham, Satish Karra, Dan O'Malley, Esteban Rougier, Hari S. Viswanathan, Gowri Srinivasan
2018	J	`jnl`	Whole-Brain Connectivity in a Large Study of Huntington's Disease Gene Mutation Carriers and Healthy Controls. Brain Connect. Flor A. Espinoza, Jessica A. Turner, Victor M. Vergara, Robyn L. Miller, Eva Mennigen, Jingyu Liu, Maria B. Misiura, Jennifer Ciarochi, Hans J. Johnson, Jeffrey D. Long, Henry Jeremy Bockholt, Vincent A. Magnotta, Jane S. Paulsen, Vince D. Calhoun
2018	J	`jnl`	Whole-brain connectivity dynamics reflect both task-specific and individual-specific modulation: A multitask study. NeuroImage Hua Xie, Vince D. Calhoun, Javier Gonzalez-Castillo, Eswar Damaraju, Robyn L. Miller, Peter A. Bandettini, Sunanda Mitra
2017	—	`conf`	Image Analysis Using Convolutional Neural Networks for Modeling 2D Fracture Propagation. ICDM Workshops Robyn L. Miller, Bryan A. Moore, Hari S. Viswanathan, Gowri Srinivasan
2017	J	`jnl`	Replicability of time-varying connectivity patterns in large resting state fMRI samples. NeuroImage Anees Abrol, Eswar Damaraju, Robyn L. Miller, Julia M. Stephen, Eric D. Claus, Andrew R. Mayer, Vince D. Calhoun
2016	J	`jnl`	A Method for Intertemporal Functional-Domain Connectivity Analysis: Application to Schizophrenia Reveals Distorted Directional Information Flow. IEEE Trans. Biomed. Eng. Robyn L. Miller, Victor M. Vergara, David B. Keator, Vince D. Calhoun
2016	J	`jnl`	Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity. NeuroImage Barnaly Rashid, Mohammad R. Arbabshirani, Eswar Damaraju, Mustafa S. Çetin, Robyn L. Miller, Godfrey D. Pearlson, Vince D. Calhoun
2016	J	`jnl`	Cross-Frequency rs-fMRI Network Connectivity Patterns Manifest Differently for Schizophrenia Patients and Healthy Controls. IEEE Signal Process. Lett. Robyn L. Miller, Maziar Yaesoubi, Vince D. Calhoun
2016	Misc	`conf`	Time-varying frequency modes of resting fMRI brain networks reveal significant gender differences. ICASSP Maziar Yaesoubi, Robyn L. Miller, Tülay Adali, Vince D. Calhoun
2015	J	`jnl`	Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia. NeuroImage Qingbao Yu, Erik B. Erhardt, Jing Sui, Yuhui Du, Hao He, R. Devon Hjelm, Mustafa S. Çetin, Srinivas Rachakonda, Robyn L. Miller, Godfrey D. Pearlson, Vince D. Calhoun
2015	—	`conf`	Classification of schizophrenia and bipolar patients using static and time-varying resting-state FMRI brain connectivity. ISBI Barnaly Rashid, Mohammad R. Arbabshirani, Eswar Damaraju, Robyn L. Miller, Mustafa S. Çetin, Godfrey D. Pearlson, Vince D. Calhoun
2015	J	`jnl`	Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain information. NeuroImage Maziar Yaesoubi, Elena A. Allen, Robyn L. Miller, Vince D. Calhoun
2015	—	`conf`	Large scale fusion of brain imaging modalities and features using Markov-style dynamics in a feature meta-space. EMBC Robyn L. Miller, Victor M. Vergara, Vince D. Calhoun
2015	J	`jnl`	Lateralization of resting state networks and relationship to age and gender. NeuroImage Oktay Agcaoglu, Robyn L. Miller, Andy R. Mayer, Kenneth Hugdahl, Vince D. Calhoun
2015	—	`conf`	Multimodal based classification of schizophrenia patients. EMBC Mustafa S. Çetin, Jon M. Houck, Victor M. Vergara, Robyn L. Miller, Vince D. Calhoun
2015	J	`jnl`	Mutually temporally independent connectivity patterns: A new framework to study the dynamics of brain connectivity at rest with application to explain group difference based on gender. NeuroImage Maziar Yaesoubi, Robyn L. Miller, Vince D. Calhoun
2015	—	`conf`	The impact of data preprocessing in traumatic brain injury detection using functional magnetic resonance imaging. EMBC Victor M. Vergara, Eswar Damaraju, Andrew B. Mayer, Robyn L. Miller, Mustafa S. Çetin, Vince D. Calhoun
2014	—	`conf`	A study of spatial variation in fMRI brain networks via independent vector analysis: Application to schizophrenia. PRNI Shruti Gopal, Robyn L. Miller, Andrew Michael, Tülay Adali, Stefi A. Baum, Vince D. Calhoun
2014	—	`conf`	Higher dimensional analysis shows reduced dynamism of time-varying network connectivity in schizophrenia patients. EMBC Robyn L. Miller, Maziar Yaesoubi, Vince D. Calhoun
2014	—	`conf`	Higher dimensional fMRI connectivity dynamics show reduced dynamism in schizophrenia patients. PRNI Robyn L. Miller, Maziar Yaesoubi, Vince D. Calhoun, Shruti Gopal
2013	—	`conf`	Characterization of connectivity dynamics in intrinsic brain networks. GlobalSIP Vince D. Calhoun, Maziar Yaesoubi, Barnaly Rashid, Robyn L. Miller