Robyn L. Miller

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 63

Top Topics

Network Connectivity

Top Venues

Publications

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
DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks. CoRR (2024)
Bradley T. Baker, Barak A. Pearlmutter, Robyn L. Miller, Vince D. Calhoun, Sergey M. Plis
Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse. CoRR (2024)
Yutong Gao, Charles A. Ellis, Vince D. Calhoun, Robyn L. Miller
Improving Age Prediction: Utilizing LSTM-Based Dynamic Forecasting For Data Augmentation in Multivariate Time Series Analysis. SSIAI (2024)
David Sutherland Blair, Robyn L. Miller, Vince D. Calhoun
A Dynamic Entropy Approach Reveals Reduced Functional Network Connectivity Trajectory Complexity in Schizophrenia. Entropy 26 (7) (2024)
Robyn L. Miller, Victor M. Vergara, Vince D. Calhoun
Markov Spatial Flows in Bold FMRI: A Novel Lens on the Bold Signal Applied To an Imaging Study of Schizophrenia. SSIAI (2024)
Natalia Maksymchuk, Robyn L. Miller, Vince D. Calhoun
Distribution of Connectivity Strengths Across Functional Regions has Higher Entropy in Schizophrenia Patients than in Controls. SSIAI (2024)
Yutong Gao, Noah Lewis, Vince D. Calhoun, Robyn L. Miller
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 161 (2023)
Robyn L. Miller, Victor M. Vergara, Vince D. Calhoun
Hyperlocal Spatial Flows in BOLD fMRI Expose Novel Brain-Based Correlates of Schizophrenia. EMBC (2023)
Noah Lewis, Armin Iraji, Robyn L. Miller, Vince D. Calhoun
Topological Correction of Subject-Level Intrinsic Connectivity Networks. ISBI (2023)
Robyn L. Miller, Victor M. Vergara, Helen Petropoulos, Vince D. Calhoun
Local Spatial Flow Strengths in Bold FMRI are Strongly Impacted by Schizophrenia. ICASSP Workshops (2023)
Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
A Novel Explainable Fuzzy Clustering Approach for fMRI Dynamic Functional Network Connectivity Analysis. EMBC (2023)
Haleh Falakshahi, Hooman Rokham, Robyn L. Miller, Jean Liu, Vince D. Calhoun
Network Differential in Gaussian Graphical Models from Multimodal Neuroimaging Data. EMBC (2023)
Yutong Gao, Charles A. Ellis, Vince D. Calhoun, Robyn L. Miller
Improving age prediction: Utilizing LSTM-based dynamic forecasting for data augmentation in multivariate time series analysis. CoRR (2023)
Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Zening Fu, Jingyu Liu, Yuhui Du, Elizabeth Mormino, David H. Salat, Vince D. Calhoun, Robyn L. Miller
Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease. Brain Connect. 13 (6) (2023)
Charles A. Ellis, Mohammad S. Eslampanah Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller, Vince D. Calhoun
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers. Frontiers Neuroinformatics 17 (2023)
Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
Neuropsychiatric Disorder Subtyping Via Clustered Deep Learning Classifier Explanations. EMBC (2023)
Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
A Convolutional Autoencoder-based Explainable Clustering Approach for Resting-State EEG Analysis. EMBC (2023)
Abhinav Sattiraju, Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-Based Schizophrenia Diagnosis. BIBE (2023)
Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun
Novel Approach Explains Spatio-Spectral Interactions In Raw Electroencephalogram Deep Learning Classifiers. ICASSP Workshops (2023)
Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun
Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage Data. BIBM (2023)
Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
Improving Explainability for Single-Channel EEG Deep Learning Classifiers via Interpretable Filters and Activation Analysis. BIBM (2023)
Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
Identifying Neuropsychiatric Disorder Subtypes and Subtype-Dependent Variation in Diagnostic Deep Learning Classifier Performance. ISBI (2023)
Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun
Examining Reproducibility of EEG Schizophrenia Biomarkers Across Explainable Machine Learning Models. BIBE (2022)
Yutong Gao, Vince D. Calhoun, Robyn L. Miller
Transient Intervals of Significantly Different Whole Brain Connectivity Predict Recovery vs. Progression from Mild Cognitive Impairment: New Insights from Interpretable LSTM Classifiers. EMBC (2022)
Charles A. Ellis, Martina Lapera Sancho, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun
Exploring Relationships between Functional Network Connectivity and Cognition with an Explainable Clustering Approach. BIBE (2022)
Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
A Model Visualization-based Approach for Insight into Waveforms and Spectra Learned by CNNs. EMBC (2022)
Charles A. Ellis, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun
An Unsupervised Feature Learning Approach for Elucidating Hidden Dynamics in rs-fMRI Functional Network Connectivity. EMBC (2022)
Eloy Geenjaar, Noah Lewis, Amrit Kashyap, Robyn L. Miller, Vince D. Calhoun
CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs. CoRR (2022)
Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
An Approach for Estimating Explanation Uncertainty in fMRI dFNC Classification. BIBE (2022)
Mohammad S. Eslampanah Sendi, Robyn L. Miller, David H. Salat, Vince D. Calhoun
A two-step clustering-based pipeline for big dynamic functional network connectivity data. EMBC (2022)
Eloy Geenjaar, Amrit Kashyap, Noah Lewis, Robyn L. Miller, Vince D. Calhoun
Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data. CoRR (2022)
Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data. Frontiers Neuroinformatics 16 (2022)
Michael Weeks, Vince D. Calhoun, Robyn L. Miller
Comparison of Energy Signals from the 4D DWT of Resting State FMRI Data Obtained from a Study on Schizophrenia. EMBC (2022)
Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun
Examining Effects of Schizophrenia on EEG with Explainable Deep Learning Models. BIBE (2022)
Shile Qi, Sergey M. Plis, Robyn L. Miller, Rogers F. Silva, Victor M. Vergara, Rongtao Jiang, Dongmei Zhi, Jing Sui, Vince D. Calhoun
3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia. ISBI (2021)
Charles A. Ellis, Rongen Zhang, Darwin A. Carbajal, Robyn L. Miller, Vince D. Calhoun, May D. Wang
. EMBC (2021)
Zening Fu, Armin Iraji, Jessica A. Turner, Jing Sui, Robyn L. Miller, Godfrey D. Pearlson, Vince D. Calhoun
Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia. NeuroImage 224 (2021)
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
Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder. Brain Connect. 11 (10) (2021)
Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Robyn L. Miller, May D. Wang
A Gradient-based Approach for Explaining Multimodal Deep Learning Classifiers. BIBE (2021)
Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
A Novel Local Explainability Approach for Spectral Insight into Raw EEG-based Deep Learning Classifiers. BIBE (2021)
Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Mohammad S. Eslampanah Sendi, May D. Wang, Robyn L. Miller
A Novel Local Ablation Approach for Explaining Multimodal Classifiers. BIBE (2021)
Robyn L. Miller, Victor M. Vergara, Vince D. Calhoun
A Method for Integrative Analysis of Local and Global Brain Dynamics. EMBC (2021)
Robyn L. Miller, Victor M. Vergara, Vince D. Calhoun
Multiframe Evolving Dynamic Functional Network Connectivity Motifs (Evodfncs) from Continuity-Preserving Planar Embedding. EMBC (2021)
Noah Lewis, Robyn L. Miller, Harshvardhan Gazula, Md Mahfuzur Rahman, Armin Iraji, Vince D. Calhoun, Sergey M. Plis
Can recurrent models know more than we do? ICHI (2021)
Charles A. Ellis, Mohammad S. Eslampanah Sendi, Sergey M. Plis, Robyn L. Miller, Vince D. Calhoun
Algorithm-Agnostic Explainability for Unsupervised Clustering. CoRR (2021)
Charles A. Ellis, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun
A Novel Activation Maximization-based Approach for Insight into Electrophysiology Classifiers. BIBM (2021)
Robyn L. Miller, Vince D. Calhoun
Transient Spectral Peak Analysis Reveals Distinct Temporal Activation Profiles for Different Functional Brain Networks. SSIAI (2020)
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
Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. EMBC (2020)
Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Zening Fu, Babak Mahmoudi, Robyn L. Miller, Vince D. Calhoun
A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia. SSIAI (2020)
Robyn L. Miller, Vince D. Calhoun
Hybrid dictionary learning-ICA approaches built on novel instantaneous dynamic connectivity metric provide new multiscale insights into dynamic brain connectivity. Medical Imaging: Image Processing (2020)
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
A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study. NeuroImage 184 (2019)
Hua Xie, Vince D. Calhoun, Javier Gonzalez-Castillo, Eswar Damaraju, Robyn L. Miller, Peter A. Bandettini, Sunanda Mitra
Whole-brain connectivity dynamics reflect both task-specific and individual-specific modulation: A multitask study. NeuroImage 180 (Part) (2018)
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
Whole-Brain Connectivity in a Large Study of Huntington's Disease Gene Mutation Carriers and Healthy Controls. Brain Connect. 8 (3) (2018)
A. Hunter, Bryan A. Moore, Maruti Kumar Mudunuru, Viet T. Chau, Robyn L. Miller, R. B. Tchoua, C. Nyshadham, Satish Karra, Dan O'Malley, Esteban Rougier, Hari S. Viswanathan, Gowri Srinivasan
Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications. CoRR (2018)
Catie Chang, Shella D. Keilholz, Robyn L. Miller, Mark W. Woolrich
Mapping and interpreting the dynamic connectivity of the brain. NeuroImage 180 (Part) (2018)
Robyn L. Miller, Vince D. Calhoun
Dynamic Whole Brain Polarity Regimes Strongly Distinguish Controls from Schizophrenia Patients. PRNI (2018)
Oktay Agcaoglu, Robyn L. Miller, Andrew R. Mayer, Kenneth Hugdahl, Vince D. Calhoun
Corrigendum to "Lateralization of resting state networks and relationship to age and gender" [NeuroImage 104 (2015) 310-325]. NeuroImage 167 (2018)
Robyn L. Miller, Bryan A. Moore, Hari S. Viswanathan, Gowri Srinivasan
Image Analysis Using Convolutional Neural Networks for Modeling 2D Fracture Propagation. ICDM Workshops (2017)
Anees Abrol, Eswar Damaraju, Robyn L. Miller, Julia M. Stephen, Eric D. Claus, Andrew R. Mayer, Vince D. Calhoun
Replicability of time-varying connectivity patterns in large resting state fMRI samples. NeuroImage 163 (2017)
Barnaly Rashid, Mohammad R. Arbabshirani, Eswar Damaraju, Mustafa S. Çetin, Robyn L. Miller, Godfrey D. Pearlson, Vince D. Calhoun
Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity. NeuroImage 134 (2016)
Maziar Yaesoubi, Robyn L. Miller, Tülay Adali, Vince D. Calhoun
Time-varying frequency modes of resting fMRI brain networks reveal significant gender differences. ICASSP (2016)
Robyn L. Miller, Victor M. Vergara, David B. Keator, Vince D. Calhoun
A Method for Intertemporal Functional-Domain Connectivity Analysis: Application to Schizophrenia Reveals Distorted Directional Information Flow. IEEE Trans. Biomed. Eng. 63 (12) (2016)
Robyn L. Miller, Maziar Yaesoubi, Vince D. Calhoun
Cross-Frequency rs-fMRI Network Connectivity Patterns Manifest Differently for Schizophrenia Patients and Healthy Controls. IEEE Signal Process. Lett. 23 (8) (2016)
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
Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia. NeuroImage 107 (2015)
Maziar Yaesoubi, Robyn L. Miller, Vince D. Calhoun
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 107 (2015)
Barnaly Rashid, Mohammad R. Arbabshirani, Eswar Damaraju, Robyn L. Miller, Mustafa S. Çetin, Godfrey D. Pearlson, Vince D. Calhoun
Classification of schizophrenia and bipolar patients using static and time-varying resting-state FMRI brain connectivity. ISBI (2015)
Maziar Yaesoubi, Elena A. Allen, Robyn L. Miller, Vince D. Calhoun
Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain information. NeuroImage 120 (2015)
Victor M. Vergara, Eswar Damaraju, Andrew B. Mayer, Robyn L. Miller, Mustafa S. Çetin, Vince D. Calhoun
The impact of data preprocessing in traumatic brain injury detection using functional magnetic resonance imaging. EMBC (2015)
Mustafa S. Çetin, Jon M. Houck, Victor M. Vergara, Robyn L. Miller, Vince D. Calhoun
Multimodal based classification of schizophrenia patients. EMBC (2015)
Oktay Agcaoglu, Robyn L. Miller, Andy R. Mayer, Kenneth Hugdahl, Vince D. Calhoun
Lateralization of resting state networks and relationship to age and gender. NeuroImage 104 (2015)
Robyn L. Miller, Victor M. Vergara, Vince D. Calhoun
Large scale fusion of brain imaging modalities and features using Markov-style dynamics in a feature meta-space. EMBC (2015)
Robyn L. Miller, Maziar Yaesoubi, Vince D. Calhoun, Shruti Gopal
Higher dimensional fMRI connectivity dynamics show reduced dynamism in schizophrenia patients. PRNI (2014)
Robyn L. Miller, Maziar Yaesoubi, Vince D. Calhoun
Higher dimensional analysis shows reduced dynamism of time-varying network connectivity in schizophrenia patients. EMBC (2014)
Shruti Gopal, Robyn L. Miller, Andrew Michael, Tülay Adali, Stefi A. Baum, Vince D. Calhoun
A study of spatial variation in fMRI brain networks via independent vector analysis: Application to schizophrenia. PRNI (2014)
Vince D. Calhoun, Maziar Yaesoubi, Barnaly Rashid, Robyn L. Miller
Characterization of connectivity dynamics in intrinsic brain networks. GlobalSIP (2013)