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  1. S.Martin, G.Rodrigues, G.Bauman, N.Patil, D.D’Souza, T.Sexton, D.Palma, A.V.Louie, F.Khalvati, H.R.Tizhoosh, S. Gaede
    A multi-phase validation of atlas-based automatic and semi-automatic segmentation strategies for prostate MRI
    Accepted for publication in the International Journal of Radiation Oncology, Biology, Physics (The Red Journal) (2012)
  2. F.Khalvati, M.D.Aagaard, H.R.Tizhoosh
    Window memoization: toward high-performance image processing software
    Accepted for publication in Journal of Real Time Image Processing (2012)
  3. Samar Mohamed**; J. Li; M. Salama; G. Freeman; H.R.Tizhoosh; A. Fenster; K. Rizkalla
    An Automated Neural-Fuzzy Approach to Malignant Tumor Localization in 2D Ultrasonic Images of the Prostate
    Journal of Digital Imaging (June 2011), 24 (3), pg. 411-423
  4. M.Mahootchi*, K.Ponnambalam, H.R.Tizhoosh
    Operations optimization of multireservoir systems using storage moments equations
    Advances in Water Resources (2010), 33, pp. 1150–1163
  5. M.Mahootchi, K.Ponnambalam, H.R. Tizhoosh
    Comparison of risk-based optimization models for reservoir management
    Canadian Journal of Civil Engineering (2010), 37(1), pp. 112-124
  6. H. Bustince; M. Pagola; E. Barrenechea; J. Fernandez; P. Melo-Pinto; P. Couto; H.R. Tizhoosh; J. Montero
    Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images
    Fuzzy Sets and Systems (January 2010), 161 (1), pg. 20-36
  7. M. Ventresca**; S. Rahnamayan; H.R. Tizhoosh
    A note on “Opposition versus randomness in soft computing techniques”
    Applied Soft Computing Journal (June 2010), 10 (3), pg. 956-957
  8. Maryam Shokri*; H.R. Tizhoosh; Mohamed S. Kamel
    Oppositional target domain estimation using grid-based simulation
    Applied Soft Computing Journal (January 2009), 9 (1), pg. 423-430
  9. M. Shokri*; H.R. Tizhoosh
    A reinforcement agent for threshold fusion
    Applied Soft Computing Journal (January 2008), 8 (1), pg. 174-181
  10. S. Rahnamayan*; H.R. Tizhoosh; M.M.A. Salama
    Opposition-Based Differential Evolution
    IEEE Transactions on Evolutionary Computation (February 2008), 12 (1), pg. 64-79
  11. S. Rahnamayan; H.R. Tizhoosh; M.M.A. Salama
    Opposition versus randomness in soft computing techniques
    Applied Soft Computing Journal (March 2008), 8 (2), pg. 906-918
  12. H.R. Tizhoosh
    Interval-valued versus intuitionistic fuzzy sets: Isomorphism versus semantics
    Pattern Recognition (May 2008), 41 (5), pg. 1829-1830
  13. F. Sahba*; H.R. Tizhoosh; M.M.M.A. Salama
    A reinforcement agent for object segmentation in ultrasound images
    Expert Systems With Applications (October 2008), 35 (3), pg. 772-780
  14. Mario Ventresca*; H.R. Tizhoosh
    A diversity maintaining population-based incremental learning algorithm
    Information Sciences (November 2008), 178 (21), pg. 4038-4056
  15. S. Rahnamayan*; H.R. Tizhoosh; M.M.A. Salama
    A novel population initialization method for accelerating evolutionary algorithms
    Computers and Mathematics with Applications (May 2007), 53 (10), pg. 1605-1614
  16. M. Millard*; H.R. Tizhoosh
    Tuning pianos using reinforcement learning
    Applied Acoustics (May 2007), 68 (5), pg. 576-593
  17. A. Hamilton-Wright*; D.W. Stashuk; H.R. Tizhoosh
    Fuzzy Classification Using Pattern Discovery
    IEEE Transactions on Fuzzy Systems (October 2007), 15 (5), pg. 772-783
  18. H.R.Tizhoosh, G. Taylor*
    Reinforced Contrast Adaptation
    International Journal of Image and Graphics (2006), 6 (3), pp. 377–392
  19. H.R. Tizhoosh; R.A. Dara
    On poem recognition
    Pattern Analysis and Applications (November 2006), 9 (4), pg. 325-338
  20. J.Song*, H.R.Tizhoosh
    Fuzzy Anisotropic Diffusion based on Edge Detection
    Journal of Intelligent & Fuzzy Systems (2006), 17 (5), pg. 431-442
  21. H.R. Tizhoosh
    Opposition-Based Reinforcement Learning
    Journal of Advanced Computational Intelligence and Intelligent Informatics (2006), vol. 10, no. 5, pp. 578–585
  22. H.R. Tizhoosh
    Image thresholding using type II fuzzy sets
    Pattern Recognition (December 2005), 38 (12), pg. 2363-2372
  23. Sahba*, F., Tizhoosh, H.R., Salama, M.M.A.
    A coarse-to-fine approach to prostate boundary segmentation in ultrasound images
    BioMedical Engineering OnLine (2005), 4:58
  24. Rahnamayan*, S., Tizhoosh, H.R., Salama, M.M.A.,
    Towards Incomplete Object Recognition
    WSEAS2 Transactions on Systems, World Scientific and Engineering Academy and Society (2005), 10 (4), pp. 1725– 1732
  25. Rahnamayan*, S., Tizhoosh, H.R., Salama, M.M.A.,
    Learning Robust Object Segmentation from User-Prepared Samples
    WSEAS Transactions on Computers, World Scientific and Engineering Academy and Society (2005), 9(4), pp. 1163–1170
  26. H.R. Tizhoosh; G. Krell; B. Michaelis
    Knowledge-based enhancement of megavoltage images in radiation therapy using a hybrid neuro-fuzzy system
    Image and Vision Computing (March 2001), 19 (4), pg. 217-233
  27. G. Krell; H.R. Tizhoosh; T. Lilienblum; C.J. Moore; B. Michaelis
    Enhancement and associative restoration of electronic portal images in radiotherapy
    International Journal of Medical Informatics (April 1998), 49 (2), pg. 157-171

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