Refereed Journal Articles

  1. S Elhabian, A Farag, “Helmholtz HSH-Based Basis: A Compact Phenomenological Representation of Arbitrary Reflectance,” Informatica, vol. 26, no. 4, pp. 593-620, 2016.
  2. Eslam Mostafa, Asem Ali and Aly Farag, “Learning a Nonlinear Combination of Mahalanobis Distances Using Statistical Inference for Similarity Measure,” IET Computer Vision Journal Volume: 9, Issue: 4, Pages: 541 – 548, 2015.
  3. Marwa Ismail, Salwa Elshazly, Aly Farag, Chuck Sites, Robert Curtin, Robert Falk, Albert Seow, and Gerald Dryden, “Revamped Fly-Over for Accurate Colon Visualization in Virtual Colonoscopy”, IET Computer Vision Journal Volume: 9, Issue: 4, Pages: 511 – 521, 2015.
  4. Asem Ali, Melih Aslan and Aly A. Farag, “Vertebral Body Segmentation with Prior Shape Constraints for Accurate BMD Measurements,” Computational Imaging and Graphics, Volume 38, Issue 7, Pages 586–595, October 2014.
  5. Shireen Y. Elhabianand Aly A. Farag, Image irradiance harmonics: a phenomenological model of image irradiance of arbitrary surface reflectance. IET Computer Vision, 2014, Vol. 8, Issue 5, pp. 365–381.
  6. Shireen Y. Elhabianand Aly A. Farag, Appearance-based approach for complete human jaw shape reconstruction. IET Computer Vision 2014, Vol. 8, Issue 5, pp. 404–418.
  7. Aly S. Abdelrahim, Aly A. Farag, Shireen Y. Elhabian and Moumen T. El-Melegy “Shape-from-shading using sensor and physical object characteristics applied to human teeth surface reconstruction, ” IET Computer Vision, Volume 8, issue 1,February 2014 , p. 1 – 15.
  8. Melih S. Aslan, Ahmed Shalaby, Hossam Abdelmunim and Aly A. Farag, “A Probabilistic Shape-based Segmentation Method Using Level Sets,” IET Computer Vision, IET-CV, 2014.
  9. Melih S. Aslan, Ahmed Shalaby and Aly A. Farag, “Vertebral Body Segmentation Using a Probabilistic and Universal Shape Model,” IET Computer Vision, IET-CV, 2014.
  10. Ali Mahmoud, Ahmed El-Barkouky, James Graham and Aly A. Farag. Pedestrian detection using thermal for night driving assistance,” International Journal of Multimedia Technology, Vol. 4, No. 2, pp.26-32, IJMT 2014.
  11. H. Abdelmunim, Amal Farag, and Aly A. Farag, “Shape Representation and Registration in Vector Implicit Spaces: Adopting a Closed Form Solution in the Optimization Process,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, No. 3, pp. 763-768, March 2013.
  12. Amal Farag, Hossam Abdelmunim, James Graham and Aly Farag, “A Novel Approach for Lung Nodules Segmentation in Chest CT using Level Sets,” – IEEE Transactions on Image Processing 22(12): 5202-5213, December 2013.
  13. Eslam Mostafa, Riad Hammoud, Asem Ali and Aly Farag, “Face Recognition Based on Local Descriptors of Facial Features in Low Resolution Thermal Images,” – Computer Vision and Image Understanding, Volume 117, Issue 12, December 2013, Pages 1689-1694.
  14. Shireen Y. Elhabian and Aly A. Farag. “Towards efficient image irradiance modelling of convex Lambertian surfaces under single viewpoint and frontal illumination “, IET Computer Vision, Volume 7, issue 6, p. 478 – 487, December 2013.
  15. Shireen Y. Elhabian and Aly A. Farag, “Helmholtz HSH-based Basis: A Compact Phenomenological Representation of Arbitrary Reflectance” – Journal of Optical Society of America (JOSA-A) – To appear.
  16. A. Ali, Amal Farag, and Aly Farag, “Multimodal Imaging- Modeling and Segmentation with Biomedical Applications,” British Journal of Computer Vision, IET-CV, Vol, 6, pp. 524-539, 2012.
  17. Robert Niese, Ayoub Al-Hamadi, Aly Farag, Heiko Neumannand Bernd Michaelis, “Facial Expression Recognition based on Geometric and Optical Flow Features in Colour Image Sequences”,” British Computer Vision Journal, IET-CV, Vo. 6, Issue 2, 2012, pp. 79-89. Won the 2014 IET Premium Awards.
  18. M. Sabry Hassouna and A. A. Farag, TPAMI-0845-1206 – Variational Curve Skeletons Using Gradient Vector Flow,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No.12, pp. 2257 – 2274, Dec. 2009.
  19. M. Sabry Hassouna, Alaa Abdel-Hakim and Aly A. Farag “PDE-Based Robust Robotic Navigation,” Image, Vision and Computing, Vol.27, No. 1-2, pp. 10-18, January 2009.
  20. Manuel F Casanova, Ayman El-Baz, Meghan Mott, Glenn Mannheim, Hossam Hassan, Rachid Fahmi, Jay Giedd, Judith M Rumsey, Andrew E Switala, Aly Farag, “Reduced gyral window and corpus callosum size in autism: possible macroscopic correlates of a minicolumnopathy,” Journal of autism and developmental disorders, Vol. 39, No. 5, pp. 751-764, 2009.
  21. H. Shi, Aly A. Farag, R. Fahmi and D. Chen “Validation of Finite Element Models of Liver Tissue using Micro-CT and CBCT,” IEEE Transactions on Biomedical Engineering – Vol. 55, No. 3, pp. 978-984, March 2008.
  22. M. Sabry Hassouna and Aly A. Farag, “Multi-Stencils Fast Marching Methods: A Highly Accurate Solution to the Eikonal Equation on Cartesian Domain,” IEEE Transactions on Pattern Analysis and Machine Intelligence – Vol. 29, No. 9, pp. 1563-1574, September 2007.
  23. Hossam Abd EL Munim and Aly A. Farag, “Curve/Surface Representation and Evolution using Vector Level Sets with Application to the Shape-based Segmentation Problem,” IEEE Transactions on Pattern Analysis and Machine Intelligence – Vol. 29, No. 6, pp. 945-958, June 2007.
  24. Manuel F. Casanova, Aly Farag, Ayman EL-BAZ, Meghan Mott, Hossam Hassan, Rachid Fahmi, Andrew E. Switala, ”Abnormalities of the Gyral Window in Autism: A Macroscopic Correlate to a Putative Minicolumnopathy ,” Journal of Special Education and Rehabilitation, pp. 1:85-101, 2007.
  25. Seniha E. Yuksel, Ayman El-Baz, Aly A. Farag, Mohamed El-Ghar, Tarek Eldiasty and Mohamed A. Ghoneim, “A Kidney Segmentation Framework for Dynamic Contrast Enhanced Magnetic Resonance Imaging, Journal of Vibration and Control, 13(9–10): 1505–1516, 2007.
  26. A. A. Farag, A. El-Baz, and Georgy Gimel’farb, “Precise Image Segmentation of Multimodal Images,” IEEE Transactions on Image Processing, Vol. 15, No. 4, pp. 952-968, April 2006.
  27. M. Sabry. Hassouna, A.A. Farag, S. Hushek, and T. Moriarty, “Cerebrovascular Segmentation from TOF Using Stochastic Models,” Medical Image Analysis, Vol 10, pp. 2-18, February 2006.
  28. A. El-Baz, Aly A. Farag and Georgy Gimel’farb, “Iterative Approximation of Empirical Grey Level Distributions for Precise Segmentation of Multi-modal Images,” European Journal of Applied Signal Processing (EURASIP), Vol. 13, pp. 1969-1983, 2005.
  29. A. Eid and Aly A. Farag, “On the Performance Evaluation of 3-D Reconstruction Techniques from a Sequence of Images,” European Journal of Applied Signal Processing (EURASIP), Vol. 13, pp. 1948-1955, 2005.
  30. M.T. Ahmed El-Melegy and A. A. Farag, “Nonmetric Calibration of Camera Lens Distortion: Differential Methods and Robust Estimation,” IEEE Transactions on Image Processing, vol. 43, no. 7, pp. 1215-1230, August 2005.
  31. Aly A. Farag, Refaat M. Mohamed and A. El-Baz, “A Unified Framework for MAP Estimation in Remote Sensing Image Segmentation,” IEEE Transactions on Geosciences and Remote Sensing, vol. 14, no. 8, pp. 1617-1634, July 2005.
  32. Refaat M. Mohamed, A. El-Baz, and Aly A. Farag, “Probability Density Estimation Using Advanced Support Vector Machines and the Expectation Maximization Algorithm”, International Journal of Signal Processing, vol. 1, pp. 185-188, March, 2005.
  33. A. El-Baz, Refaat M. Mohamed, and Aly A. Farag, “Advanced Support Vector Machines for Image Modeling Using Gibbs-Markov Random Field”, International Journal of Computational Intelligence, vol. 1, pp. 306-309, March, 2005.
  34. Aly A. Farag, A. El-Baz, and Refaat M. Mohamed, “Density estimation using generalized linear model and a linear combination of Gaussians, ” International Journal of Signal Processing, 2005, vol. 1, pp. 76-79, March, 2005.
  35. G. Gimel’farb and A. A. Farag, “Texture Analysis by Accurate Identification of Simple Markov Models,” Ukrainian Journal of Cybernetics and Systems Analysis, vol. 41, no. 1, pp. 37-49 January 2005.
  36. Refaat M. Mohamed, A. El-Baz and Aly A. Farag, “Image Modeling using Gibbs-Markov Random Field and Support Vector Machines Algorithm,” International Journal of Computational Intelligence, IJCI, December 2004.
  37. A. A. Farag, H. Hassan, R. Falk and S. Hushek, “3D Volume Segmentation of MRA Data Sets Using Level Sets,” Academic Radiology, Vol. 11, pp. 419-435, April 2004.
  38. Matthew P. Eklund, Aly A. Farag, and Moumen El-Melegy “Robust Correspondence Methods For Stereo Vision,” International Journal of Pattern Recognition and Artificial Intelligence, vol. 17, no. 7, pp. 1059-1079, 2003.
  39. Aly A. Farag and Ahmed Eid, “Video reconstructions in dentistry,” Orthod Craniofacial Res 6 (Suppl. 1), pp. 108–116, 2003.
  40. G. H. Mostafa, A. A. Farag, and E. A. Essock, “Multimodality image registration and using neural network,” Journal of Harbin Institute of Technology, No.3, 235-240, 2003.
  41. S. M. Yamany and A. A. Farag, “Surface Signatures: An Orientation Independent Free-Form Surface Representation Scheme for the Purpose of Objects Registration and Matching” IEEE Transactions on Pattern Analysis and Machine Intelligence – Vol. 24, No 8, pp. 1105-1120, August 2002.
  42. M. T. Ahmed and A. A. Farag, “A neural network approach for solving the problem of camera calibration,” Imaging, Vision and Computing – Vol. 20, No. 9-10, pp. 619-630, August 2002.
  43. M. N. Ahmed, S. Yamany, N. Mohamed, A. A. Farag, and T. Moriarty“A Modified Fuzzy C-Means Algorithms for Bias Field Estimation and Segmentation of MR Date”, IEEE Transactions on Medical Imaging, Vol. 21, No. 3, pp. 193-199, March 2002.
  44. S. M. Yamany, A. A. Farag, D. Tasman and A. G. Farman,“Robust 3-D Modeling of the Human Jaw Using Sequence of Intra-Oral Images,” IEEE Transactions on Medical Imaging, Vol. 19 (5), pp. 538-547, May 2000.
  45. M. G. Mostafa, E. Hemayed, and A. A. Farag, “Target recognition via 3D Object Reconstruction From Image Sequence and Contour Matching,” Pattern Recognition Letters, Vol. 20 (11-13), pp. 1381-1387, November 1999.
  46. S. M. Yamany, A. A. Farag, and S. Hsu, “Fuzzy Hyperspectral Classifier for Automatic Target Recognition (ATR) Systems,” Pattern Recognition Letters, Vol. 20 (11-13), pp. 1431-1438, November 1999.
  47. W. D. Ehringer, S.M. Yamany, K. Steier, A. A. Farag, F. J. Roisen, A. Dozier and F. N. Miller, “Quantitative Image Analysis Of F­Actin in Endothelial Cells,” Microcirculation, Vol. 6, pp. 291-303, 1999.
  48. S. M. Yamany, M. N. Ahmed and A. A. Farag, “A new genetic-based technique for matching 3D curves and surfaces,” Pattern Recognition, Vol. 32 (10), pp. 1817-1820, October 1999.
  49. M. N. Ahmed and A. A. Farag, “Two-stage Neural Network for Volume Segmentation of Medical Images,” Pattern Recognition Letters, Vol. 18, No 11-13, pp. 1143-1151, November 1997.
  50. S. M. Yamany, K. Khiani, A. A. Farag, “Application of Neural Networks and Genetic Algorithms in the Classification of Endothelial Cells,” Pattern Recognition Letters, Vol. 18, no 11-13, pp. 1205-1210, November 1997.
  51. Y. M. Kadah, A. A. Farag, J. M. Zurada, A. Badawi and A. Youssef, “Efficient Algorithms for Computer-Assisted Diagnosis of Diffused Liver Diseases from Ultrasound Images,” IEEE Transactions on Medical Imaging Vol. 15, No. 4, pp. 466-478, August 1996.
  52. A. A. Farag and E. J. Delp, “Edge Linking by Sequential Search,” Pattern Recognition. Vol. 24, No. 5, pp. 611-633, 1995.
  53. A. A. Farag, W. A. Tacker, K. S. Foster, J. D. Bourland, and L. A. Geddes, “Detection of Pulse and Respiration Signals from the Wrist Using Dry Electrodes,” Biomedical Instrumentation & Technology, pp. 311­314, 1994.
  54. A. A. Farag and E. J. Delp, “Image Segmentation Based on Composite Random Field Models,” Journal of Optical Engineering, Vol. 12, pp. 2594­2607, December 1992.
  55. A. A. Farag, “Edge­based Image Segmentation, Remote Sensing Reviews, Vol. 6(1), pp. 95­120, 1992.
  56. A. G. Farman, A. A. Farag, and Yuen­Pin Yeap, “Communication in Dental Radiology,” Dento Maxillo Facial Radiology, Vol. 21(3), pp. 213­215, November 1992.