Deformable Models

Aly A. Farag received the bachelor degree from Cairo University, Egypt and the PhD degree from Purdue University in Electrical Engineering. He also holds master degrees in bioengineering from the Ohio State and the University of Michigan. He is a University Scholar and Professor of Electrical & Computer Engineering at the University of Louisville. Dr. Farag is the founder and director of the Computer Vision and Image Processing Laboratory (CVIP Lab) which focuses on imaging science, computer vision and biomedical imaging. Dr. Farag main research focus is 3D object reconstruction from multimodality imaging, and applications of statistical and variational methods for object segmentation and registration. He has authored over 250 technical papers in the field of image understanding and holds a number patents. He is regular reviewer to a number of professional organizations in the United States and abroad, and a member of the editorial boards of a number journals and international meetings. Jasjit S. Suri, PhD is an innovator, scientist, a visionary, and industrialist and an internationally known world leader in Biomedical Engineering and Biological Sciences. Dr. Suri has spent over 20 years in the field of biomedical engineering, devices and its management. He received his Doctorate from the University of Washinton, Seattle and Master's in Executive Business Management from Weatherhead, Case Western Reserve University, Cleveland, Ohio. Dr. Suri was crowned with the President's Gold Medal in 1980 and elected as a Fellow of the American Institute for Medical and Biological Engineering.

• Simulating Bacterial Biofilms.- Distance Transform Algorithms And Their Implementation And Evaluation.- Level Set Techniques For Structural Inversion In Medical Imaging.- Shape And Texture-Based Deformable Models For Facial Image Analysis.- Detection Of The Breast Contour In Mammograms By Using Active Contour Models.- Statistical deformable models for cardiac Segmentation and Functional Analysis In Gated-Spect Studies.- Level Set Formulation For Dual Snake Models.- Accurate Tracking Of Monotonically Advancing Fronts.- Toward Consistently Behaving Deformable Models For Improved Automation In Image Segmentation.- Application Of Deformable Models For The Detection Of Acute Renal Rejection.- Physically And Statistically Based Deformable Models For Medical Image Analysis.- Deformable Organisms For Medical Image Analysis.- Pde-Based Three Dimensional Path Planning For Virtual Endoscopy.- Object Tracking In Image Sequence Combining Hausdorff Distance, Non-Extensive Entropy In Level Set Formulation.- Deformable Model-Based Image Registration.