## Ross WhitakerSegmentation |
## Sarang JoshiShape StatisticsSegmentation Brain Atlasing |
## Tolga TasdizenImage ProcessingMachine Learning |
## Tom FletcherShape StatisticsDiffusion Tensor Analysis |
## Chris JohnsonDiffusion Tensor Analysis |

Computational Bioimaging for Medical Diagnosis and TreatmentC.R. Johnson. In Communications of the ACM, Vol. 44, No. 3, pp. 74--76. March, 2001. |

Boundary Estimation from Intensity/Color Images with Algebraic Curve ModelsT. Tasdizen, D.B. Cooper. In Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, IEEE, 2000. DOI: 10.1109/icpr.2000.905308 A concept and algorithm are presented for non-iterative robust estimation of piecewise smooth curves of maximal edge strength in small image windows-typically 8/spl times/8 to 32/spl times/32. This boundary-estimation algorithm has the nice properties that it uses all the data in the window and thus can find locally weak boundaries embedded in noise or texture and boundaries when there are more than two regions to be segmented in a window; it does not require step edges-but handles ramp edges well. The curve-estimates found are among the level sets of a dth degree polynomial fit to "suitable" weightings of the image gradient vector at each pixel in the image window. Since the polynomial fitting is linear least squares, the computation to this point is very fast. Level sets then chosen to be appropriate boundary curves are those having the highest differences in average gray level in regions to either side. This computation is also fast. The boundary curves and segmented regions found are suitable for all purposes but especially for indexing using algebraic curve invariants in this form. |

An Inverse EEG Problem Solving Environment and its Applications to EEG Source LocalizationD.M. Weinstein, L. Zhukov, C.R. Johnson. In NeuroImage (suppl.), pp. 921. 2000. |

Improving the Stability of Algebraic Curves for ApplicationsT. Tasdizen, J.-P. Tarel, D.B. Cooper. In IEEE Transactions on Image Processing, Vol. 9, No. 3, pp. 405--416. March, 2000. |

Reciprocity Basis for EEG Source ImagingL. Zhukov, D.M. Weinstein, C.R. Johnson. In NeuroImage (suppl.), pp. 598. 2000. |

Algebraic curves that work betterT. Tasdizen, J.-P. Tarel, D. B. Cooper. In Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 1999. DOI: 10.1109/cvpr.1999.784605 |

Color Quantization with Genetic AlgorithmsT. Tasdizen, L. Akarun, C. Ersoy. In Signal Processing: Image Communication, Vol. 12, pp. 49--57. 1998. |

PIMS and Invariant Parts for Shape RecognitionZ. Lei, T. Tasdizen, D.B. Cooper. In Sixth International Conference on Computer Vision, Narosa Publishing House, 1997. DOI: 10.1109/iccv.1998.710813 |

Computational and Numerical Methods for Bioelectric Field ProblemsC.R. Johnson. In Critical Reviews in BioMedical Engineering, Vol. 25, No. 1, pp. 1--81. 1997. |

Software Tools for Modeling, Computation, and Visualization in MedicineC.R. Johnson, R.S. MacLeod, J.A. Schmidt. In CompMed 94 Proceedings, World Scientific, 1995. |

Numerical Methods for Bioelectric Field ProblemsC.R. Johnson. In The Biomedical Engineering Handbook, Edited by J.D. Bronzino, CRC Press, Boca Ratan pp. 161--188. 1995. |