latest news

May 2008

Profs. Kakadiaris and Shah receive Texas Norman Hackerman Advanced Research Program awards

May 2008

Profs. Shah, Gabriel, Zheng, and Garbey awarded DURIP for collaborative computer vision using heterogeneous smart cameras

March 2008

Dr. Shah presents at the ECE Seminar Series at The University of Texas at Austin

January 2008

Multispectral Cytology to be presented at the USCAP Meeting

December 2007

QIL Member wins poster competition

Spring 2006

Assistant Professor of Computer Science Shishir Shah and his UH colleagues in the Quantitative Imaging Laboratory are working with collaborators at The University of Texas Medical Branch in Galveston to develop new technology to rapidly image, analyze, and identify abnormal cells.

additional links

Books and Book Articles

S. Shah and J. Thigpen, Spectral Imaging, Microscope Image Processing, Academic Press, to appear, 2007.
F. Merchant, S. Shah, and K. Castleman, Object Measurement, Microscope Image Processing, Academic Press, to appear, 2007.
Microarray Image Analysis - Nuts and Bolts. S. Shah and G. Kamberova, DNA Press, 2002.
S. Shah, J. P. Gregg, M. Mohammed, W. Yu. S. Damani, and R. Locker, BAC Microarrays, Microarray Image Analysis - Nuts and Bolts, pp. 185-202, Edited by S, Shah and G. Kamberova, DNA Press, 2002.
A. Kuklin, S. Shah, B. Hoff, and S. Shams, Data Management in Microarray Fabrication, Image Processing, and Data Mining, DNA Arrays: Technologies and Experimental Strategies, CRC Press, 2001.
S. Shah and J. P. Gregg, BAC Array and Applications, Handbook of Molecular Biology, 2001. S. Shah and S. Shams, Microarray Image Analysis for Statistically Significant Gene Expression Analysis, Handbook of Microarray Analysis, MIT Press, 2001.
J. K. Aggarwal and S. Shah, Object Recognition and Performance Bounds, Lecture Notes in Computer Science: Image Analysis and Processing, pp. 343–360, Edited by Alberto Del Bimbo, Springer Verlag, 1997.
S. Shah and J. K. Aggarwal, Modeling Structured Environments using Robot Vision: A Review, Lecture Notes in Computer Vision: Recent Progress in Computer Vision, pp. 113-128, Edited by Roland T. Chin et. al., Springer Verlag, 1995.

Referred Journal Papers

S. Shah, Automatic Cell Segmentation using a Shape-Classification Model in Immunohistochemically Stained Cytological Images, IEICE Transaction, 2008.
S. Shah, Performance Modeling and Algorithm Characterization for Robust Image Segmentation, Int. Journal of Computer Vision, 2008.
S. Shah, Image Enhancement for Increased Dot Counting Efficiency in FISH, Journal of Microscopy, vol. 228-2, pp. 211-226, 2007.
T. Man, X. Lu, K. Jaeweon, L. Perlaky, C. Harris, S. Shah, M. Ladanyi, R. Gorlick, C. Lau, and P. H. Rao, Genome-wide Array Comparative Genomic Hybridization Analysis Reveals Distinct Amplifications in Osteosarcoma, BMC Cancer, 4:45, 2004.
A. Kuklin, S. Shams, and S. Shah, High throughput screening of gene expression signatures, Ge- netica, vol. 108, pp. 41-46 2000.
A. Kuklin, S. Shams, and S. Shah, Automation in Microarray Image Analysis with AutoGene, Journal for the Association of Laboratory Automation, vol. 5-5, pp. 67-70, 2000.
J. Wu, F.H. Sarkar, H. Singh, and S. Shah, Positron emission tomography, IEEE Potentials, vol. 17, no. 5, pp. 13-16, 1999.
S. Shah and J. K. Aggarwal, Mobile Robot Navigation and Scene Modeling Using Stereo Fish-Eye Lens Systems, Machine Vision and Applications, No. 10, pp. 159–173, 1997.
S. Shah and J. K. Aggarwal, Intrinsic Parameter Calibration Procedure for a (High Distortion) Fish-Eye Lens Camera with Distortion Model and Accuracy Estimation, Pattern Recognition, vol. 29, No. 11, pp. 1775-1788, November, 1996.

Refereed Conference Papers

S. Shah, J. Thigpen, and F. Merchant, Automatic Cell Differentiation using Multispectral Mi- croscopy, in Proceedings of 11th WSEAS International Conference in Computers, vol. 4, pp. 616– 621, 2007.
S. Shah, Automatic Cell Segmentation using a Shape-Classification Model, in Proceedings of IAPR Conference on Machine Vision Applications, pp. 428–432, 2007.
S. Shah, High Dynamic Range Imaging for Fluorescent Dot Counting in Cell Nuclei, in 6th Inter- national Conference on Advances in Pattern Recognition, 2007.
Shah, S., J. Thigpen, et al. (2006). Photometric Calibration for Automated Multispectral Imaging of Biological Samples. Proceedings of 1st Workshop on Microscopic Image Analysis with Applications in Biology (in conjunction with MICCAI, Copenhagen): 27-33.
J. Thigpen, and S. Shah, Photometric Calibration for Automated Multispectral Imaging of Biological Samples, in Proceedings of 1st Workshop on Microscopic Image Analysis with Applications in Biology (in conjunction with MICCAI, Copenhagen), pp. 27–33, 2006.
S. Shah, Quantitative Analysis of Array CGH, in Proceedings of Workshop on Challenges in Clinical Oncology (in conjunction with MICCAI, Copenhagen), pp. 69–76, 2006.
S. Shah, Statistical Framework for Quantitative Analysis of Array CGH, Proceedings of IEEE International Conference of the Engineering in Medicine and Biology Society, pp. 5806–5809, 2006.
J. Thigpen, S. Shah, F.A. Merchant, and K. Castleman, Calibrating Multispectral Imaging System for Biological Particle Analysis under Transmitted Illumination, Proceedings of Microscopy and Microanalysis, vol. 12-2, pp. 1678–1679, 2006.
S. Shah and F. A. Merchant, Fluorescence Dot Counting Efficiency in Radiance Mapped Images, Proceedings of Microscopy and Microanalysis, vol. 12-2, pp. 1676–1677, 2006.
S. Shah, Multispectral Integration for Segmentation of Chromosome Images, Proceedings of 11th International Conference on Computer Analysis of Images and Patterns, pp. 506–513, France 2005.
S. Shah, J. Kim, M. Mohammed, J. Kang, N. Dzidic, and R. Locker, Genomic FISHing: Data Analysis for Chromosomal Imbalances using DNA Arrays, 24th Annual Conference of IEEE Engineering in Medicine and Biology Society and Biomedical Engineering Society, vol. 3, pp. 2190–2191, Houston, TX, 2002.
J. Kim and S. Shah, Fast stereo matching using multilevel enhancement, Proceedings of the Third International Conference on Information Fusion, vol. 2, 3/3–3/8, 2000.
S. Shah and J. K. Aggarwal, Hierarchical Multifeature Integration for Automatic Object Recognition in Forward Looking Infrared Images, Proceedings of International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, pp. 590–599, Cairo, Egypt, 1999.
S. Shah and J. K. Aggarwal, Statistical Decision Integration Using Fisher Criterion, Proceedings of International Conference on Information Fusion, pp. 722–729, San Francisco, CA, 1999.
J. K. Aggarwal and S. Shah, Bayesian Paradigm for Recognition of Objects - Innovative Applications, Proceedings of Third Asian Conference on Computer Vision, vol. 2, pp. 275–282, Hong Kong, January, 1998.
S. Shah and J. K. Aggarwal, Multiple Feature Integration for Robust Object Localization, Pro- ceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 765–771, 1998.
K. Sato, S. Shah, and J. K. Aggarwal, Partial Face Recognition using Radial Basis Function Networks, Proceedings of International Conference on Automatic Face and Gesture Recognition, pp. 288–293, Nara, Japan, 1998.
S. Shah and J. K. Aggarwal, Hybrid Architecture for Performance Reasoning in Object Recognition Systems, Proceedings of International Conference on Pattern Recognition, vol. 1, pp. 326–330, 1998.
S. Shah and J. K. Aggarwal, Multichannel Integration for Landcover Classification in Satellite Imagery, Proceedings of Asilomar Conference, vol. 1, pp. 583–587, Monterey, CA, 1998.
H. Zhao, S. Shah, J. H. Choi, D. Nair, and J. K. Aggarwal, Robust Automatic Target Detection/Recognition System for Second Generation FLIR Imagery, Proceedings of Fourth IEEE Workshop on Applications of Computer Vision, pp. 262-263, Princeton, NJ, 1998.
S. Shah and J. K. Aggarwal, A Bayesian Segmentation Framework for Textured Visual Images, Proceedings of Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1014–1020, Puerto Rico, June 1997.
S. Shah, J. Eledath, J. Ghosh, and J. K. Aggarwal, Multisensor Integration for Scene Analysis: An Experiment in Human Form Detection, Proceedings of the Fourth IEEE International Conference on Image Processing, vol. 2, pp. 199–202, Santa Barbara, CA, October, 1997.
S. Shah and J. K. Aggarwal, Autonomous Mobile Robot Navigation Using Fish-Eye Lenses, Proceedings of Image Analysis Applications and Computer Graphics, Third International Computer Science Conference, pp. 9–16, Hong Kong, 1995.
S. Shah and J. K. Aggarwal, Modeling Structured Environments Using Robot Vision, Proceedings of Asian Conference on Computer Vision, pp. 297–304, Singapore, December 1995.
S. Shah and J. K. Aggarwal, Depth Estimation Using Stereo Fish-Eye Lenses, Proceedings of First IEEE International Conference on Image Processing, pp. 740–744, Austin, TX, November 1994.
S. Shah and J. K. Aggarwal, A Simple Calibration Procedure for Fish-Eye (High Distortion) Lens Camera, Proceedings of IEEE International Conference on Robotics and Automation, pp. 3422–3427, San Diego, May 1994.

Abstracts

S. Shah, M. R. Schwartz, D. R. Mody, M. Scheiber-Pacht, and M. Amrikachi, The Role of Multispectral Microscopy in Differentiating Benign and Malignant Thyroid Nodules: A Pilot Study of 24 Cases, United States and Canadian Academy of Pathology Annual Meeting, March 1 - March 7, 2008.
J. Thigpen, S. Shah, and F. Merchant, Calibrating a Multispectral Imaging System for Biological Particle Analysis under Transmitted Illumination. Microscopy and Microanalysis. Chicago, Il. 12: 1678-1679.
S. Shah and G. Spaulding, Ultra High Throughput Cytometry, Proceedings of the 22nd Annual Meeting of The Houston Society for Engineering in Medicine and Biology, Houston, TX 2005.
S. Shah and G. Spaulding, Differential Scatter Sensing for Hemocytometry, Proceedings of the 22nd Annual Meeting of The Houston Society for Engineering in Medicine and Biology, Houston, TX 2005.
M. Mohammed, B. Bejjani, S. Shah, J. Lupski, and L. Shaffer, Development and Validation of a High-Resolution Genomic Microarray for Identifying Constitutional Chromosome Abnormalities, 51st Annual Meeting of the American Society of Human Genetics, San Diego, CA, 2001.