Projects: Visual Analytics, Explainable AI, Information Visualization, Visual Data Science, and Human-Computer Interaction

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

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
Interactive Subspace Cluster Analysis Guided by Semantic Attribute Associations
S. Mahmood,  K. Mueller
IEEE Trans. on Visualization and Computer Graphics
(to appear), 2023
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
(to appear), 2023
DOMINO: Visual Causal Reasoning with Time-Dependent Phenomena
J. Wang, K. Mueller
IEEE Trans. on Visualization and Computer Graphics
(to appear), 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

 

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Last update: June 27, 2005
http://www.cs.stonybrook.edu/~mueller