The NIH/NIGMS
Center for Integrative Biomedical Computing

SCI Publications

2006


L. Lorenzo, R.S. MacLeod, R.T. Whitaker, G. Adluru, E.V.R. DiBella. “Level Sets and Shape Models for Segmentation of Cardiac Perfusion MRI,” In Proceedings of International Society for Optical Engineering (SPIE) Conference on Medical Imaging 2006, Vol. 6144, pp. 1320--1331. 2006.



C.R. Johnson, R. Moorhead, T. Munzner, H. Pfister, P. Rheingans, T. Yoo. “NIH/NSF Visualization Research Challenges Report Summary,” Note: NIH/NSF, pp. 66-73. 2006.



S. Nagarajan, O. Portniaguine, D. Hwang, C.R. Johnson, K. Sekihara. “Controlled Support MEG Imaging,” In NeuroImage, Vol. 15;33, No. 3, pp. 878--885. 2006.



S.G. Parker, K. Zhang, K. Damevski, C.R. Johnson. “Integrating Component-Based Scientific Computing Software,” In Parallel Processing for Scientific Computing, Edited by M.A. Heroux and P. Raghavan and H.D. Simon, SIAM Press, pp. 271--288. 2006.
ISBN: 0-89871-619-5



Y. Serinagaoglu, D.H. Brooks, R.S. MacLeod. “Improved Performance of Bayesian Solutions for Inverse Electrocardiography Using Multiple Information Sources,” In IEEE Trans Biomed. Eng., Vol. 53, No. 10, pp. 2024--2034. October, 2006.



J.F. Shepherd. “Hexahedral Mesh Generation Constraints,” SCI Institute Technical Report, No. UUSCI-2006-010, University of Utah, 2006.



J.G. Stinstra, S.F. Roberts, J.B. Pormann, R.S. MacLeod, C.S. Henriquez. “A Model of 3D Propagation in Discrete Cardiac Tissue,” In Proceedings of Computers in Cardiology 2006, Vol. 33, pp. 41. 2006.



X. Tricoche, X. Zheng, A. Pang. “Visualizing the Topology of Symmetric, Second-Order, Time-varying Two-Dimensional Tensor Fields,” In Visualization and Processing of Tensor Fields, Springer, pp. 225--240. 2006.



C.H. Wolters, A. Anwander, X. Tricoche, D.M. Weinstein, M.A. Koch, R.S. MacLeod. “Influence of Tissue Conductivity Anisotropy on EEG/MEG Field and Return Current Computation in a Realistic Head Model: A Simulation and Visualization Study Using High-Resolution Finite Element Modeling,” In Neuroimage, Vol. 30, No. 3, pp. 813--826. April, 2006.



C.H. Wolters, A. Anwander, G. Berti, U. Hartmann. “Geometry-Adapted Hexahedral Meshes Improve Accuracy of Finite Element Method Based EEG Source Analysis,” In IEEE Transactions on Biomedical Engineering, Vol. 54, No. 8, pp. 1446--1453. August, 2006.



D. Güllmar, J. Haueisen, M. Eiselt, F. Giessler, L. Flemming, A. Anwander, T. Knösche, C.H. Wolters, M. Dümpelmann, D.S. Tuch, J.R. Reichenbach. “Influence of Anisotropic Conductivity on EEG Source Reconstruction: Investigations in a Rabbit Model,” In IEEE Trans. Biomed. Eng., Vol. 53, No. 9, pp. 1841--1850. 2006.



B. Yilmaz, R.S. Macleod. “Instance Selection for Estimation of Epicardial Activation Sequence from Venous Catheter Measurements,” In Proceedings of the 28th IEEE EMBS Annual International Conference, pp. 3982--3985. 2006.


2005


S.P. Awate, R.T. Whitaker. “Higher-Order Image Statistics for Unsupervised, Information-Theoretic, Adaptive, Image Filtering,” SCI Institute Technical Report, No. UUSCI-2005-004, University of Utah, 2005.



S.P. Awate, R.T. Whitaker. “Nonparametric Neighborhood Statistics for MRI Denoising,” SCI Institute Technical Report, No. UUSCI-2005-005, University of Utah, 2005.



S.P. Awate, R.T. Whitaker. “Nonparametric Neighborhood Statistics for MRI Denoising,” In In Proc. Int. Conf. Information Processing in Medical Imaging (IPMI), 2005. Lecture Notes in Computer Science, Vol. 3565, pp. 677--688. July, 2005.



S.P. Awate, R.T. Whitaker. “Higher-Order Image Statistics for Unsupervised, Information-Theoretic, Adaptive, Image Filtering,” In Proceedings of the IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), pp. 44--51. 2005.



S.P. Awate, R.T. Whitaker. “Unsupervised, Information-Theoretic, Adaptive Image Filtering for Image Restoration,” In IEEE Trans. Pattern Anal. & Mach. Intel., Vol. 28, No. 3, pp. 364--376. 2005.



F. Calderero, A. Ghodrati, D.H. Brooks, G. Tadmor, R.S. MacLeod. “A Method to Reconstruct Activation Wavefronts Without Isotropy Assumptions Using a Level Sets Approach,” In Functional Imaging and Modeling of the Heart: Third International Workshop (FIMH 2005), Barcelona, June 2-4, pp. 195. 2005.



S.E. Geneser, S. Choe, R.M. Kirby, R.S. MacLeod. “Influence of Stochastic Organ Conductivity in 2D ECG Forward Modeling: A Stochastic Finite Element Study,” In Proceedings of The Joint Meeting of The 5th International Conference on Bioelectromagnetism and The 5th International Symposium on Noninvasive Functional Source Imaging within the Human Brain and Heart, pp. 5528--5531. 2005.



A. Ghodrati, D.H. Brooks, G. Tadmor, B.B. Punske, R.S. MacLeod. “Wavefront-based Inverse Electrocardiography using an Evolving Curve State Vector and Phenomenological Propagation and Potential Models,” In IJBEM, Vol. 7, No. 2, pp. 210--213. 2005.