Information visualization techniques can be combined with classical and modern data analysis, such as statistical pattern recognition, causal inferencing. and deep/machine learning, to enable more powerful and effective data-driven decision making with the human expert in the loop. The visual feedback guiding the analytical mining process exploits the unmatched capability of the low-level and high-level human visual system to recognize patterns and derive abstract conclusions from them, possibly setting off another analysis round. We are exploiting this paradigm for the analysis/exploration of large, high-dimensional data streams and interactive causal reasoning. We are also working on explainable AI, especially for making algorithmic decsion-making fairer and more transparent (see this page for more papers on this topic). The study of more effective and intuitive user interfaces is an important aspect of this work, as well as developing and evaluating these systems in close relationship with domain scientists and end users. For this, we have numerous collaborations at Brookhaven National Laboratory, at Pacific Northwest National Laboratory and other research and commercial instiutions

	TaskFinder: A Semantics-Based Methodology for Visualization Task Recommendation D. Coelho, B. Ghai, A. Krishna, M. Velez-Rojas, S. Greenspan, S. Mankovski, K. Mueller Analytics 3(3): 255-275, 2024
	Belief Miner: A Methodology for Discovering Causal Beliefs and Causal Illusions from General Populations S. Salim, N. Hoque, K. Mueller Proceedings of the ACM on Human-Computer Interaction, 8 (CSCW 1) 1-37, 2024
	DRCmpVis: Visual Comparison of Physical Targets in Mobile Diminished and Mixed Reality R. Liu, S. Ye, Z. Ding, G. Yang, S. Cheng, K. Mueller IEEE Trans. on Visualization and Computer Graphics (to appear), 2024
	Multivariate Volume Data: Achieving Deeper Insight through Multivariate Volume Rendering and Machine-Guided Explorations P. Avery, S. Jhaveri, A. Kumar, X. Zhang, H. Xin, H. Yan, X. Huang, W. Xu, K. Mueller Conference on Microscopy and Microanalysis Cleveland, OH. August 2024
	Can LLMs Generate Visualizations with Dataless Prompts? D. Coelho, H. Barot, N. Rathod, K. Mueller arXiv preprint arXiv:2406.17805 June, 2024
	Interactive Subspace Cluster Analysis Guided by Semantic Attribute Associations S. Mahmood,  K. Mueller IEEE Trans. on Visualization and Computer Graphics 30(7): 4197-4210, 2024
	RadVolViz: An Information Display-Inspired Transfer Function Editor for Multivariate Volume Visualization A. Kumar, X. Zhang, H. Xin, H. Yan, X. Huang, W. Xu, K. Mueller IEEE Trans. on Visualization and Computer Graphics 30(8): 4464-4479, 2024
	How “Applied” is Fifteen Years of VAST conference? L. Shi, L. Xia, Z. Liu, Y. Sun, H. Guo, K. Mueller IEEE Visualization and Visual Analytics (VIS) Melbourne, Australia, October, 2023
	Reconstructing High-Dimensional Datasets From Their Bivariate Projections E. Dugan, K. Mueller arXiv preprint arXiv:2312.15306 December, 2023
	An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development Y. Zhang, B. Fitzgibbon, D. Garofolo, A. Kota, E. Papenhausen, K. Mueller NL-VIZ Workshop 2023 (jointly held with IEEE VIS) Melbourne, Australia, October, 2023
	DOMINO: Visual Causal Reasoning with Time-Dependent Phenomena J. Wang, K. Mueller IEEE Trans. on Visualization and Computer Graphics 29(12): 5342-5356, 2023
	NAS-Navigator: Visual Steering for Explainable One-Shot Deep Neural Network Synthesis A. Tyagj, C. Xie, K. Mueller IEEE Trans. on Visualization and Computer Graphics (Special Issue of IEEE VIS 2022) 29(1):299-309, 2023
	PC-Expo: A Metrics-Based Interactive Axes Reordering Method for Parallel Coordinate Displays A. Tyagi, T. Estro, G. Kuenning, E. Zadok, K. Mueller IEEE Trans. on Visualization and Computer Graphics (Special Issue of IEEE VIS 2022) 29(1):712-722, 2023
	Graphical Enhancements for Effective Exemplar Identification in Contextual Data Visualizations X. Zhang, S. Cheng, K. Mueller IEEE Trans. on Visualization and Computer Graphics 29(9}:3775-3787, 2023
	Patterns of Social Vulnerability – An Interactive Dashboard to Explore Risks to Public Health on the US County Level D. Coelho, N. Gupta, E. Papenhausen, K. Mueller Workshop on Visual Analytics in Healthcare (VAHC), jointly held with AMIA 2022 Washington, DC, November, 2022 (won Best Paper Award)
	Using Large Language Models to Generate Engaging Captions for Data Visualizations A. Liew, K. Mueller NLVIZ: Exploring Research Opportunities for Natural Language, Text, and Data Visualization (NLVIZ, Workshop jointly held with IEEE VIS) Oklahoma City, OK, October, 2022
	Infographics Wizard: Flexible Infographics Authoring and Design Exploration A. Tyagi, J. Zhao, P. Patel, S. Khurana, K. Mueller Computer Graphics Forum (Special Issue Eurovis 2022) 41(3): 121-132, 2022
	Patterns of Philanthropy – Using Pattern Mining for Predictive Analysis in Advancement and Fund Raising E. Papenhausen, K. Mueller Journal of Advancement Analytics 2, pp. 101-113, 2022
	Ambienizer: Turning Digital Photos into Ambient Visualizations J. Park, A. Kaufman, K. Mueller IEEE Visualization Extended Abstracts Oklahoma City, OK, October 2022
	Networks never rest: an investigation of network evolution in three species of animals I. Chase, D. Coelho, W. Lee, K. Mueller, J. Curley Social Networks 68:356-373, 2022
	Identifying the skeptics and the undecided through visual cluster analysis of local network geometry S. Cheng, J. Giesen, T. Huang, P. Lucas,  K Mueller Visual Informatics 6(3):11-22, 2022
	Fluent: An AI Augmented Writing Tool for People who Stutter B. Ghai, K. Mueller ACM SIGACCESS Conference on Computers and Accessibility October 18-22, 2021
	Cluster Appearance Glyphs: A methodology for illustrating high-dimensional data patterns in 2-D data layouts J. Lee, D. Coelho, K. Mueller Information 13(1), 2021
	Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making N. Hoque, K. Mueller IEEE Trans. on Visualization and Computer Graphics 28(12): 4728-4740, 2021
	Active Learning++: Incorporating Annotator’s Rationale using Local Model Explanations B. Ghai, Q. Liao, Y. Zhang, K. Mueller ACM KDD Workshop on Data Science with Human in the Loop (DaSH) Virtual, August 23-27, 2020
	Collaborative Visual Analytics Using Blockchain D. Coelho, R. Trailor, D. Sill, S. Engle, A. Joshi, S. Mankovskii, M. Velez-Rojas, S. Greenspan, K. Mueller International Conference on Cooperative Design, Visualization and Engineering (CDVE) Virtual, October 25–28, 2020
	Eating with a Conscience: Toward a Visual and Contextual Nutrition Facts Labels D. Coelho, H. He, M. Baduk, K. Mueller VisComm: Workshop on Visualization for Communication (jointly held with IEEE VIS) Virtual, October 25–30, 2020
	Demographic Pattern Analysis to Predict COVID-19 Fatalities on the US County Level K. Mueller, E. Papenhausen ACM Digital Government: Research and Practice 2 (1): 1-11, 2020
	Explainable Active Learning (XAL): Toward AI Explanations as Interfaces for Machine Teachers B Ghai, QV Liao, Y Zhang, R Bellamy, K Mueller ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) Virtual, October 17-21, 2020
	Infomages: Embedding Data into Thematic Images D. Coelho, K. Mueller Computer Graphics Forum 39 (3), 593-606, 2020 (won Best Paper Runner-up Award at EuroVis 2019)
	PeckVis: A Visual Analytics Tool to Analyze Dominance Hierarchies in Small Groups D. Coelho, I. Chase, K. Mueller IEEE Trans. on Visualization and Computer Graphics 26(4), 1650-1660, 2020 (won Best Paper Award at VDS 2019)
	Taxonomizer: Interactive Construction of Fully Labeled Hierarchical Groupings from Attributes of Multivariate Data S. Mahmood, K. Mueller IEEE Trans. on Visualization and Computer Graphics 26 (9), 2875-2890, 2020
	ICE: An Interactive Configuration Explorer for High Dimensional Parameter Spaces A Tyagi, Z. Cao, T. Estro, E. Zadok, K. Mueller IEEE Visual Analytcs Science and Technology (VAST) Vancouver, Canada, October 2019
	Examining the Visualization Practices of Data Scientists on Kaggle M. Hoque, D. Coelho, K. Mueller IEEE Visualization Conference, Poster Session Vancouver, Canada, October 2019
	Exploratory Visual Analysis of Anomalous Runtime Behavior in Streaming High Performance Computing Application C Xie, W Jeong, G Matyasfalvi, H Van Dam, K. Mueller, S Yoo, W. Xu International Conference on Computational Science (ICCS) pp. 153-167, Faro, Portugal, June 2019
	Graphs Are Not Enough: Using Interactive Visual Analytics in Storage Research Z Cao, G Kuenning, K. Mueller, A Tyagi, E Zadok USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage) Renton, WA, July 2019
	Advances in Visualization Recommender Systems K. Mueller IEEE Computer 52 (8), 4-5, 2019
	Beyond Saliency: Understanding Convolutional Neural Networks from Saliency Prediction on Layer-Wise Relevance Propagation H. Li, Y. Tian, K. Mueller, X. Chen Image and Vision Computing 83: 70-86, 2019
	ColorMapND: A Data-Driven Approach and Tool for Mapping Multivariate Data to Color S. Cheng, W. Xu, K. Mueller IEEE Trans. on Visualization and Computer Graphics 25(2): 1361-1377, 2019
	PUMA-V: Optimizing Parallel Code Performance Through Interactive Visualization E. Papenhausen, M.H. Langston, B. Meister, R. Lethin, K. Mueller IEEE Computer Graphics & Applications 39(1): 84-99, 2019
	Analytics of Heterogeneous Data using Hypergraph Learning C. Xie, W, Zhong. W. Xu, K. Mueller ACM Trans. on Intelligent Systems and Technology 10(1), 1-26, 2019
	A Visual Analytics Framework for the Detection of Anomalous Call Stack Trees in High Performance Computing Application C. Xie, W. Xu, K. Mueller IEEE Trans. on Visualization and Computer Graphics 25(1): 215-224, 2019
	Visualizing the Topology and Data Traffic of Multi-Dimensional Torus Interconnect Networks S. Cheng, W. Zhong, K. Isaacs, K. Mueller IEEE Access 6, 57191-57204, 2018
	PetalVis - Floral Visualization for Communicating Set Operations A. Kumar, M. Burch, D. Kurbanismailova, U. Kloos, K. Mueller Workshop on Visualization for Communication (co-located with IEEE VIS) Berlin, Germany, October 2018
	Subspace Shapes: Enhancing High-Dimensional Subspace Structures via Ambient Occlusion Shading B. Wang, K. Mueller IEEE Visualization (Extended Abstracts) Berlin, Germany, October 2018
	A Scale-Space Filtering Approach for the  Multi-Resolution Illustrative Visualization of Multivariate Data J. Lee, K. Mueller IEEE Visualization (Extended Abstracts) Berlin, Germany, October 2018
	Graphoto: Aesthetically Pleasing Charts for Casual Information Visualization J. Park, A. Kaufman, K. Mueller IEEE Computer Graphics & Applications 38(6):67-82, 2018
	Coding Ants -- Optimization of GPU Code Using Ant Colony Optimization E. Papenhausen, K. Mueller Computer Languages, Systems & Structures 54: 119-138, 2018
	MultiSciView: Multivariate Scientific X-ray Image Visual Exploration with Cross-Data Space Views W. Zhong, W. Xu, K. Yager, G. Doerk, J. Zhao, Y. Tian, S. Ha, C. Xie, Y. Zhong, K. Mueller, K. Kleese Van Dam, Visual Informatics 2 (1), 14-25, 2018
	An Exploded View Paradigm to Disambiguate Scatterplots S. Mahmood, K. Mueller Computers & Graphics 73, 37-46, 2018
	The Subspace Voyager: Exploring High-Dimensional Data along a Continuum of Salient 3D Subspaces B. Wang, K. Mueller IEEE Trans. on Visualization and Computer Graphics 24(2): 1204-1222, 2018
	RadViz Deluxe: An Attribute-Aware Display for Multivariate Data S. Cheng, W. Xu, K. Mueller Processes 5(4): 75-94. 2017
	Big Data Management with Incremental K-Means Trees–GPU-Accelerated Construction and Visualization J. Wang, A. Zelenyuk, D, Imre, K. Mueller Informatics 4(3): 24-38, 2017
	Visual Causality Analysis Made Practical J. Wang, K. Mueller IEEE Visual Analytics Science and Technology (VAST) Phoenix, AZ, Ocober 2017
	Visualization of Multivariate Data with Network Constraints using Multi-Objective Optimization B. Ghai, A. Mishra, K. Mueller EEE Visualization (Extended Abstracts) Phoenix, AZ, Ocober 2017
	Applying Multi-Player Rating Schemes to Manage User Studies of Visual Analytics Designs S, Mahmood, K. Mueller IEEE Visualization (Extended Abstracts) Phoenix, AZ, Ocober 2017
	Progressive Clustering of Big Data with GPU Acceleration and Visualization J. Wang, E. Papenhausen. B. Wang. S. Ha, A. Zelenyuk, K. Mueller New York Scientific Data Summit (NYSDS) New York, NY, August 2017
	Evolutionary Visual Analysis of Deep Neural Networks W. Zhong. C. Xie, Y. Zhong, Y. Wang, W. Xu, S. Cheng, K. Mueller Workshop on Visualization for Deep Learning (co-located with International Conference on Machine Learning, ICML) Sidney, Austraila, August 2017
	A Visual Analytics Approach for Categorical Joint Distribution Reconstruction from Marginal Projections C. Xie, W. Zhong, K. Mueller IEEE Trans. on Visualization and Computer Graphics won Honorary Mention (1 of 2) Best Paper Award at IEEE VIS 2016 23(1):51-60, 2017
	Analyzing Hillary Clinton’s Emails V.  Dehiya, K. Mueller IEEE VIS Poster Abstracts Baltimore, MD, 2016
	Extending Scatterplots to Scalar Fields S. Cheng, P. Cui, K. Mueller IEEE VIS Poster Abstracts (won an Honorary Mention Award) Baltimore, MD, 2016
	Google Glass for Personalized Augmentations of Data Visualizations D. Zhang, D. Coelho, K. Mueller IEEE VIS Poster Abstracts Baltimore, MD, 2016
	A Data-Driven Approach for Mapping Multivariate Data to Color S. Cheng, W. Xu. W. Zhong, K. Mueller IEEE VIS Poster Abstracts Baltimore, MD, 2016
	The Data Context Map: Fusing Data and Attributes into a Unified Display S. Cheng, K. Mueller IEEE Trans. on Visualization and Computer Graphics 22(1): 121-130, 2016
	The Visual Causality Analyst: An Interactive Interface for Causal Reasoning J . Wang, K. Mueller IEEE Trans. on Visualization and Computer Graphics 22(1): 230-239, 2016
	Exploring the Distribution of Local Neighborhood Structures in Large Networks S. Cheng, C. Dahl, J. Giesen, P. Lucas, K. Mueller Workshop on Exploring Graphs At Scale (EGAS), (held joinlty with VIS 2015) Chicago. IL, October 2015
	Data Memes for Personal Visualization D. Coelho, K. Mueller Workshop on Personal Visualization: Exploring Data in Everyday Life (held jointly with VIS 2015) Chicago. IL, October 2015
	StreamVisND: Visualizing Relationships in Streaming Multivariate Data S. Cheng, Y. Wang, D. Zhang, Z. Jiang, K. Mueller IEEE VIS Poster Abstracts (won Honorary Mention) Chicago. IL, October 2015
	Learning Visualizations by Analogy: Promoting Visual Literacy through Visualization Morphing P. Ruchikachorn, K. Mueller IEEE Trans. on Visualization and Computer Graphics 29(9):1028-1044, 2015
	Improving the Fidelity of Contextual Data Layouts Using a Generalized Barycentric Coordinates Framework S. Cheng, K. Mueller IEEE Pacific Visualization Symposium pp. 295-302, Hangzhou, China, April, 2015
	Visual Correlation Analysis of Numerical and Categorical Data on the Correlation Map Z. Zhang, K. McDonnell, E. Zadok, K. Mueller IEEE Transactions on Visualization and Computer Graphics 21(2): 289-303, 2015
	Airborne Single Particle Mass Spectrometers (SPLAT II & miniSPLAT) and New Software for Data Visualization and Analysis in a Geo-Spatial Contex A. Zelenyuk, D. Imre, J. Wilson, Z. Zhang, J. Wang, K. Mueller Journal of The American Society for Mass Spectrometry pp. 1-14, 2015
	A Structure-Based Distance Metric for High-Dimensional Space Exploration with Multi-Dimensional Scaling J. Lee, K. McDonnell, A. Zelenyuk, D. Imre, K. Mueller IEEE Transactions on Visualization and Computer Graphics 20(3): 351-364, 2014
	TorusVisND: Unraveling High-Dimensional Torus Networks for Network Traffic Visualizations S. Cheng, P. De, S. Jiang, K. Mueller 1st Workshop on Visual Performance Analysis (jointly with Supercomputing 2014) pp. 9-16. New Olrleans, November, 2014
	Gamification as a Paradigm for the Evaluation of Visual Analytics Systems N. Ahmed, K. Mueller Beyond Time And Errors: Novel Evaluation Methods For Visualization (BELIV) (with VIS 2014). Paris, France, November, 2014
	Does 3D Really Make Sense for Visual Cluster Analysis? Yes! B. Wang, K. Mueller Intern'l Workshop on 3DVis: Does 3D Really Make Sense for Data Visualization? (with VIS 2014). Paris, France, November, 2014
	EnergyScout: A Consumer Oriented Dashboard for Smart Meter Data Analytics N. Ahmed, K. Mueller IEEE Visualization Conference, poster session (with VIS 2014). Paris, France, November, 2014
	GPU-Accelerated Incremental Correlation Clustering of Large Data with Visual Feedback E. Papenhausen, B. Wang, S. Ha, A. Zelenyuk, D. Imre, K. Mueller The First IEEE Workshop on Big Data Visualization Santa Clara, CA, October, 2013
	A Visual Analytics System for Stock Data S. Cheng, Z. Jiang, Z. Zhang, K. Mueller IEEE Visualization Conference, poster session Atlanta, GA, October, 2013
	SketchPadN-D: WYDIWYG Sculpting and Editing in High-Dimensional Space B. Wang, P. Ruchikachorn, K. Mueller IEEE Transactions on Visualization and Computer Graphics 19(12): 2060-2069, 2013
	The Five W’s for Information Visualization with Application to Healthcare Informatics Z. Zhang, B. Wang, F. Ahmed, IV Ramakrishnan, A. Viccellio, R. Zhao, K. Mueller IEEE Transactions on Visualization and Computer Graphics 19 (11):1895-1910, 2013
	An Interactive Visual Analytics Framework for Multi-Field Data in a Geo-Spatial Context Z. Zhang, X. Tong, K. McDonnell, A. Zelenyuk, D. Imre, K. Mueller Tsinghua Science and Technology on Visualization and Computer Graphics 18(2), April, 2013
	TripAdvisorND: A Tourism-Inspired High-Dimensional Space Exploration Framework with Overview and Detail J. Nam and K. Mueller IEEE Transactions on Visualization and Computer Graphics 19(2): 291-305, 2013
	Human Computation in Visualization: Using Purpose Driven Games for Robust Evaluation of Visualization Algorithms N. Ahmed, Z. Zheng, K. Mueller IEEE Transactions on Visualization and Computer Graphics 18(12): 2104-2113, 2012.
	Data-Driven Approach to Hue-Preserving Color-Blending L. Kühne, J. Giesen, Z. Zhang, S. Ha, K. Mueller IEEE Transactions on Visualization and Computer Graphics 18(12): 2122-2129, 2012
	A Network-Based Interface for the Exploration of High-Dimensional Data Spaces Z. Zhang, K. McDonnell, K. Mueller IEEE PacificVis Songdo, Korea, March 2012 pp. 17-24
	AnamneVis: A Framework for the Visualization of Patient History and Medical Diagnostics Chains Z. Zhang, F. Ahmed, A. Mittal, IV Ramakrishnan, R. Zhao, A. Viccellio, K. Mueller IEEE Workshop on Visual Analytics in Health Care Providence, RI, October, 2011
	Magic Marker: A Color Analytics Interface for Image Annotation S. Garg, K. Padalkar, K. Mueller International Symposium on Visual Computing Las Vegas, NV, September 2011
	Iconizer: A Framework to Identify and Create Effective Representations for Visual Information Encoding S. Garg, T. Berg, K. Mueller International Symposium on Smart Graphics Bremen, Germany, July, 2011
	Can Computers Master the Art of Communication? A Focus on Visual Analytics K. Mueller, S. Garg J. Nam, T. Berg, K. McDonnell IEEE Computer Graphics & Applications 31(3): 14-21, 2011
	A Visual Analytics Framework for Emergency Room Clinical Encounters Z. Zhang, A. Mittal, S. Garg, A.Dimitriyadi, IV Ramakrishnan, R. Zhao, A. Viccellio, K. Mueller IEEE Workshop on Visual Analytics in Health Care Salt Lake City, October, 2010
	REANA: An RFID-Enabled Environment-Aware Navigation System for the Visually Impaired K. Mueller, S. Das IEEE Conference on Emerging Technologies for a Smarter World, Seoul, Korea, September, 2010
	Street Light View: Enriching Navigable Panoramic Street View Maps with Informative Illumination Thumbnails C. Rojo, W. Xu, K. Mueller IEEE Visualization Conference (poster) Salt Lake City, October, 2010
	KAV-DB: Towards a Framework for the Capture and Retrieval of Visualization Knowledge over the Web S. Garg, J. Nam, K. Padalkar, K. Mueller, M. Chan, H. Qu, S. Laue, W. Saleem, J. Giesen Proc. Schloss Dagstuhl Scientific Visualization Workshop 33(5): 607-615, 2009
	A Visual Analytics Approach to Model Learning S. Garg, IV Ramakrishnan, K. Mueller IEEE Conference on Visual Analytics Science and Technology (VAST) (to appear)
	A High-Dimensional Feature Clustering Approach to Support Knowledge-Assisted Visualization (KAV) J. Nam, M. Maurer, K. Mueller Computers & Graphics 33(5): 607-615, 2009
	Iconizer: A Framework to Identify and Create Effective Representations for Visual Information Encodings S. Garg, T. Berg, K. Muellerr IEEE Visualization Conference (poster session) Atlantic City, NJ, October, 2009
	Model-Driven Visual Analytics S. Garg, E. Nam, IV. Ramakrishnan, K. Mueller IEEE Symposium on Visual Analytics Science and Technology 2008 (VAST '08) Columbus, OH, October, 2008 pp. 19-26
	Illustrative Parallel Coordinates K. McDonnell and Klaus Mueller Computer Graphics Forum (Special Issue Eurovis '08) vol. 27, no. 3, pp. 1031-1038, 2008.
	ClusterSculptor: A Visual Analytics tool for high-dimensional data E. Nam, Y. Han, K. Mueller, A. Zelenyuk, and D. Imre IEEE Symposium on Visual Analytics Science and Technology 2007 (VAST '07) Sacramento, CA, October, 2007 pp. 75-82
	Toward a Multi-Analyst, Collaborative Framework for Visual Analytics Framework S. Brennan, K. Mueller, G. Zelinsky, IV Ramakrishnan, D. Warren, and A. Kaufman IEEE Symposium on Visual Analytics Science and Technology 2006 Baltimore, MD, October, 2006 pp. 129-136
	SpectraMiner, an Interactive Data Mining and Visualization Software for Single Particle Mass Spectroscopy: A Laboratory Test Case A. Zelenyuk, D. Imre, Y. Cai, K. Mueller, Y. Han, and P. Imrich International Journal of Mass Spectrometry no. 258, pp. 58-73, 2006
	Interactive Poster: 3D ThemeRiver P. Imrich, K. Mueller, D. Imre, A. Zelenyuk, and W. Zhu IEEE Information Visualization Symposium '03 Seattle, October 2003
	Interactive Poster: A Hardware-Accelerated Rubbersheet Focus + Context Technique for Radial Dendrograms   P. Imrich, K. Mueller, D. Imre, A. Zelenyuk, and W. Zhu IEEE Information Visualization Symposium '03 Seattle, October 2003
	Interactive Poster: Visual datamining with the interactive dendogram  P. Imrich, K. Mueller, D. Imre, A. Zelenyuk, and W. Zhu IEEE Information Visualization Symposium '02  Boston, October 2002
	Changes in brain-functional homogeneity in subjects with Alzheimer's disease N. Volkow, W. Zhu, C. Felder, K. Mueller, T. Welsh, G.-J. Wang, and M. de Leon Journal of Psychiatry Research: Neuroimaging vol. 114, no. 1, pp. 39-50, 2002
	Graphical strategies to convey functional relationships in the human brain: A case study T. Welsh, K. Mueller, W. Zhu, N. Volkow, and J. Meade IEEE Visualization '01 San Diego, October 2001 pp. 481-485
	BrainMiner: A visualization tool for ROI-based discovery of functional relationships in the human brain K. Mueller, T. Welsh, W. Zhu, J. Meade, and N. Volkow New Paradigms in Information Visualization and Manipulation (NPIVM) 2000 Washington DC, November 2000
	A medical workstation for the display and analysis of multi-frame digital cineradiographic data K. Mueller, E.L. LaPresto, K.A. Powell, J.L. Hirsch, and J.F. Cornhill Computers in Medicine and Biology vol. 26, no. 5, pp. 385-400, 1996