Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.

SCI Publications

2005


B. Yilmaz, R.S. MacLeod, B.B. Punske, B. Taccardi, D.H. Brooks. “Training Set Selection for Statistical Estimation of Epicardial Activation Mapping from Intravenous Multielectrode Catheters,” In IEEE Trans Biomed. Eng., pp. (in press). 2005.



B. Yilmaz, R.S. MacLeod, B.B. Punske, B. Taccardi, D.H. Brooks. “Venous Catheter Based Mapping of Ectopic Epicardial Activation: Training Data Set Selection for Statistical Estimation,” In IEEE Trans Biomed Eng, Vol. 52, No. 11, pp. 1823--1831. November, 2005.



S.-E. Yoon, P. Lindstrom, V. Pascucci, D. Manocha. “Cache-Oblivious Mesh Layouts,” In ACM Transactions on Graphics: ACM SIGGRAPH 2005 Papers, Vol. 24, No. 3, pp. 886--893. August, 2005.



S.-E. Yoon, P. Lindstrom, V. Pascucci, D. Manocha. “Cache-Oblivious Layouts of Polygonal Meshes,” In Proceedings of Massive 2005 (workshop on Massive Geometric Data Sets), pp. 29--33. 2005.



Z. Yosibash, R.M. Kirby. “Dynamic Response of Various Von-Karman Non-Linear Plate Models and their 3-D Counterparts,” In International Journal of Solids and Structures, Vol. 42, pp. 2517--2531. 2005.



S. Zhang, D.H. Laidlaw, G. Kindlmann. “Diffusion Tensor MRI Visualization,” In The Visualization Handbook, Edited by C.D. Hansen and C.R. Johnson, Elsevier, pp. 327--340. 2005.
ISBN: 0-12-387582-X


2004


O. Alter, G.H. Golub. “Integrative Analysis of Genome-Scale Data by Using Pseudoinverse Projection Predicts Novel Correlation Between DNA Replication and RNA Transcription,” In Proceedings of the National Academy of Sciences, Vol. 101, No. 47, Proceedings of the National Academy of Sciences, pp. 16577--16582. November, 2004.
DOI: 10.1073/pnas.0406767101



O. Alter, G.H. Golub, P.O. Brown, D. Botstein. “Novel Genome-Scale Correlation Between DNA Replication and RNA Transcription During the Cell Cycle in Yeast is Predicted by Data-Driven Models,” In Proceedings of the Miami Nature Biotechnology Winter Symposium on the Cell Cycle, Chromosomes and Cancer, Vol. 15, Edited by M.P. Deutscher and S. Black and P.E. Boehmer and G. D'Urso and T. Fletcher and F. Huijing and A. Marshall and B. Pulverer and B. Renault and J.D. Rosenblatt and J.M. Slingerland and W.J. Whelan, 2004.



S. Amer-Yahia, F. Du, J. Freire. “A Comprehensive Solution to the XML-to-Relational Mapping Problem,” In Proceedings of the 6th Annual ACM International Workshop on Web Information and Data Management, Washington DC, USA, pp. 31--38. 2004.
ISBN: 1-58113-978-0



A.E. Anderson, C.L. Peters, B.D. Tuttle, J.A. Weiss. “Development and Validation of a Subject-Specific Finite Element Model of the Pelvis: Assessment of Model Sensitivity,” In Proceedings of The 6th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, pp. (6 pages). 2004.



A.E. Anderson, C.L. Peters, B.D. Tuttle, J.A. Weiss. “A Subject-Specific Finite Element Model of the Pelvis Accurately Predicts Cortical Strains Under Acetabular Loading,” In Proceedings of 50th Annual Meeting of the Orthopaedic Research Society, San Francisco, CA, Vol. 29, pp. 1334. March, 2004.



D. Barbosa, J. Freire, A. Mendelzon. “Information Preservation in XML-to-Relational Mappings,” In Database and XML Technologies, Lecture Notes in Computer Science (LNCS), Vol. 3186/2004, pp. 66--81. 2004.
ISBN: 978-3-540-22969-8



F.F. Bernardon, C.A. Pagot, J.L.D. Comba, C.T. Silva. “GPU-based Tiled Ray Casting using Depth Peeling,” SCI Institute Technical Report, No. UUSCI-2004-006, University of Utah, 2004.



M. Berzins. “Variable Order Finite Elements and Positivity Preservation for Hyperbolic PDEs,” In Applied Numerical Mathematics, Vol. 48, No. 3-4, pp. 253--439. March, 2004.



R. Borgo, V. Pascucci, R. Scopigno. “Massive Data Pre-Processing with a Cluster Based Approach,” In Proceedings of the 2004 Eurographics Symposium on Parallel Graphics and Visualization (EG-PGV-04), Note: UCRL-PROC-208678, Eurographics Association, Aire-la-Ville, Switzerland pp. 67--74. June, 2004.



P.-T. Bremer, H. Edelsbrunner, B. Hamann, V. Pascucci. “A Topological Hierarchy for Functions on Triangulated Surfaces,” In IEEE Transactions on Visualization and Computer Graphics, Vol. 10, No. 4, Note: UCRL-JRNL-208700, pp. 385-396. July/August, 2004.



P.-T. Bremer, V. Pascucci, B. Hamann. “Maximizing adaptivity in hierarchical topological models,” In Trends in Software, Note: UCRL-BOOK-200013, Edited by T. Moeller and B. Hamann and B. Russell, Springer, pp. 121--130. January, 2004.



D.H. Brooks, A. Ghodrati, Y. Zhang, G. Tadmor, R.S. MacLeod. “Inverse Electrocardiography in the Framework of Dynamic Imaging Problems,” In Proceedings of the IEEE Engineering in Medicine and Biology Society 26th Annual International Conference, San Francisco, CA, pp. 3565--3568. September, 2004.



E. Bullitt, M.G. Ewend, S. Aylward, W. Lin, G. Gerig, S. Joshi, I. Jung, K. Muller, J. Smith. “Abnormal Vessel Tortuosity as a Marker of Treatment Response of Malignant Gliomas: Preliminary Report,” In Technol Cancer Res Treat, Vol. 3, No. 6, pp. 577--584. December, 2004.



S.P. Callahan, M. Ikits, J.L.D. Comba, C.T. Silva. “Hardware-Assisted Visibility Sorting for Unstructured Volume Rendering,” SCI Institute Technical Report, No. UUSCI-2004-003, University of Utah, June, 2004.