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Hamid R. Tizhoosh: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Gerald Krell, Hamid R. Tizhoosh, Tilo Lilienblum, C. J. Moore, Bernd Michaelis
    Enhancement and associative restoration of electronic portal images in radiotherapy. [Citation Graph (0, 0)][DBLP]
    CBMS, 1997, pp:104-108 [Conf]
  2. Alice R. Malisia, Hamid R. Tizhoosh
    Image Thresholding Using Ant Colony Optimization. [Citation Graph (0, 0)][DBLP]
    CRV, 2006, pp:26- [Conf]
  3. Maryam Shokri, Hamid R. Tizhoosh
    Q(lambda)-Based Image Thresholding. [Citation Graph (0, 0)][DBLP]
    CRV, 2004, pp:504-508 [Conf]
  4. Hamid R. Tizhoosh
    Invited talk: Observer-dependent Image Enhancement. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:23-26 [Conf]
  5. Hamid R. Tizhoosh, Gerald Krell, Bernd Michaelis
    Locally Adaptive Fuzzy Image Enhancement. [Citation Graph (0, 0)][DBLP]
    Fuzzy Days, 1997, pp:272-276 [Conf]
  6. Hamid R. Tizhoosh
    Über Binarisierung und Potentiale der Fuzzy-Ansätze. [Citation Graph (0, 0)][DBLP]
    GI Jahrestagung, 1998, pp:97-106 [Conf]
  7. Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama
    Using Reinforcement Learning for Filter Fusion in Image Enhancement. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 2005, pp:262-266 [Conf]
  8. P. Ensafi, Hamid R. Tizhoosh
    Type-2 Fuzzy Image Enhancement. [Citation Graph (0, 0)][DBLP]
    ICIAR, 2005, pp:159-166 [Conf]
  9. Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
    Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images. [Citation Graph (0, 0)][DBLP]
    ICIAR, 2005, pp:930-937 [Conf]
  10. Hamid R. Tizhoosh
    Observer-dependent sharpening. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2002, pp:816-819 [Conf]
  11. Hamid R. Tizhoosh, Gerald Krell, Bernd Michaelis
    Additive Fuzzy Enhancement and an Associative Memory for Feature Tracking in Radiation Therapy Images. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1997, pp:398-401 [Conf]
  12. Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama
    Segmentation of prostate boundaries using regional contrast enhancement. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2005, pp:1266-1269 [Conf]
  13. Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
    Image Thresholding Using Differential Evolution. [Citation Graph (0, 0)][DBLP]
    IPCV, 2006, pp:244-249 [Conf]
  14. Hamid R. Tizhoosh
    Opposition-Based Learning: A New Scheme for Machine Intelligence. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2005, pp:695-701 [Conf]
  15. Hamid R. Tizhoosh, Graham W. Taylor
    Reinforced Contrast Adaptation. [Citation Graph (0, 0)][DBLP]
    Int. J. Image Graphics, 2006, v:6, n:3, pp:377-392 [Journal]
  16. Hamid R. Tizhoosh, Gerald Krell, Bernd Michaelis
    Knowledge-based enhancement of megavoltage images in radiation therapy using a hybrid neuro-fuzzy system. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2001, v:19, n:4, pp:217-233 [Journal]
  17. Hamid R. Tizhoosh
    Opposition-Based Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    JACIII, 2006, v:10, n:4, pp:578-585 [Journal]
  18. Jialin Song, Hamid R. Tizhoosh
    Fuzzy anisotropic diffusion based on edge detection. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2006, v:17, n:5, pp:431-442 [Journal]
  19. Hamid R. Tizhoosh, Rozita A. Dara
    On poem recognition. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2006, v:9, n:4, pp:325-338 [Journal]
  20. Hamid R. Tizhoosh
    Image thresholding using type II fuzzy sets. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:12, pp:2363-2372 [Journal]
  21. Ehsan Mohammadi Arvacheh, Hamid R. Tizhoosh
    IRIS Segmentation: Detecting Pupil, Limbus and Eyelids. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:2453-2456 [Conf]
  22. Alice R. Malisia, Hamid R. Tizhoosh
    Applying Ant Colony Optimization to Binary Thresholding. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:2409-2412 [Conf]
  23. Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama
    Increasing Object Recognition Rate using Reinforced Segmentation. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:781-784 [Conf]
  24. Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
    Weighted Voting-Based Robust Image Thresholding. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:1129-1132 [Conf]
  25. Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
    Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate. [Citation Graph (0, 0)][DBLP]
    FOCI, 2007, pp:81-88 [Conf]
  26. Mario Ventresca, Hamid R. Tizhoosh
    Simulated Annealing with Opposite Neighbors. [Citation Graph (0, 0)][DBLP]
    FOCI, 2007, pp:186-192 [Conf]
  27. Mario Ventresca, Hamid R. Tizhoosh
    Opposite Transfer Functions and Backpropagation Through Time. [Citation Graph (0, 0)][DBLP]
    FOCI, 2007, pp:570-577 [Conf]

  28. A Neural Approach to Image Thresholding. [Citation Graph (, )][DBLP]


  29. Increasing Computational Redundancy of Digital Images via Multiresolutional Matching. [Citation Graph (, )][DBLP]


  30. Improving the Convergence of Backpropagation by Opposite Transfer Functions. [Citation Graph (, )][DBLP]


  31. A Reinforcement Learning Framework for Medical Image Segmentation. [Citation Graph (, )][DBLP]


  32. Opposition-Based Q(lambda) Algorithm. [Citation Graph (, )][DBLP]


  33. Numerical condition of feedforward networks with opposite transfer functions. [Citation Graph (, )][DBLP]


  34. Tradeoff between exploration and exploitation of OQ(lambda) with non-Markovian update in dynamic environments. [Citation Graph (, )][DBLP]


  35. Active exploratory q-learning for large problems. [Citation Graph (, )][DBLP]


  36. Quasi-oppositional Differential Evolution. [Citation Graph (, )][DBLP]


  37. Image thresholding using micro opposition-based Differential Evolution (Micro-ODE). [Citation Graph (, )][DBLP]


  38. Interval-Valued Fuzzy System for Segmentation of Prostate Ultrasound Images. [Citation Graph (, )][DBLP]


  39. Opposite Fuzzy Sets with Applications in Image Processing. [Citation Graph (, )][DBLP]


  40. A reinforcement agent for threshold fusion. [Citation Graph (, )][DBLP]


  41. Opposition versus randomness in soft computing techniques. [Citation Graph (, )][DBLP]


  42. Oppositional target domain estimation using grid-based simulation. [Citation Graph (, )][DBLP]


  43. A note on "Opposition versus randomness in soft computing techniques" [Appl. Soft Comput 8 (2) (2008) 906-918]. [Citation Graph (, )][DBLP]


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