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2011

  1. Ahmed Othman* and Hamid Tizhoosh
    Neural Image Thresholding with SIFT-Controlled Gabor Feature
    Proceedings of The 2011 International Joint Conference on Neural Networks (IJCNN), San Jose, USA, 2011, ISSN:2161-4393, pp. 2106 – 2112 
  2. Ahmed Othman* and Hamid Tizhoosh
    Evolving Fuzzy Image Segmentation
    Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2011, ISSN: 1098-7584, pp. 1603 – 1609 
  3. Farzad Khalvati** and Hamid R. Tizhoosh
    Perfect Window Memoization: A Theoretical Model of an Optimization Technique for Image Processing Algorithms
    Proceedings of The 2011 International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV’11: July 18-21, 2011, USA)
  4. Fares S. Al-Qunaieer*, Hamid R. Tizhoosh
    Multi-resolution Level Set Image Segmentation Using Wavelet
    Proceedings of ICIP 2011, International Conference on Image Processing
  5. Farzad Khalvati**, Hamid Tizhoosh 
    Cascaded Window Memoization for Medical Imaging
    Proceedings of AIAI2011
  6. Ahmed Othman*, Hamid Tizhoosh
    Segmentation of Breast Ultrasound Images using Neural Networks
    Proceedings of EANN2011

2010

  1. Ahmed Othman*, Hamid Tizhoosh,
    Neural Image Thresholding Using SIFT: A Comparative Study. ACIVS 2010, Part I, LNCS 6474, pp. 38–49, 2010. Springer-Verlag Berlin Heidelberg 2010.
  2. Ahmed Othman*, Hamid Tizhoosh
    A Neural Approach to Image Thresholding. ICANN, Part I, LNCS 6352, pp. 561–564, 2010.
  3. Ahmed Othman*, Hamid Tizhoosh
    Image Thresholding Using Neural Network, 2010 10th International Conference on Intelligent Systems Design and Applications, pp 1159-1164.
  4. Al-Qunaieer*, F.S.; Tizhoosh, H.R.; Rahnamayan, S.
    “Oppositional fuzzy image thresholding,” IEEE International Conference on Fuzzy Systems (FUZZ), pp.1-7, 18-23 July 2010
  5. Al-Qunaieer*, F.S.; Tizhoosh, H.R.; Rahnamayan, S.
    “Opposition based computing — A survey,” The 2010 International Joint Conference on Neural Networks (IJCNN), pp.1-7, 18-23 July 2010
  6. Banerjee and Hamid R. Tizhoosh
    Visualization of Hidden Structures in Corporate Failure Prediction Using Opposite Pheromone per Node Model. , IEEE CEC 2010, pp. 1-5

2009

  1. Hamid R. Tizhoosh 
    Adaptive Lambda-Enhancement: Type I versus Type II Fuzzy Implementation
    IEEE Symposium on Computational Intelligence for Image Processing, 2009. CIIP ’09. pp. 1-7, Nashville, TN, Print ISBN: 978-1-4244-2760-4
  2. Farzad Khalvati*, Hamid R. Tizhoosh, 
    An Efficient Architecture for Hardware Implementations of Image Processing Algorithms
    IEEE Symposium on Computational Intelligence for Image Processing, 2009. CIIP ’09. pp. 20-26, Nashville, TN, Print ISBN: 978-1-4244-2760-4
  3. Mario Ventresca*, Hamid R. Tizhoosh, 
    Improving Gradient-Based Learning Algorithms for Large Scale Feedforward Networks
    International Joint Conference on Neural Networks. IJCNN 2009, page(s): 3212 – 3219  
  4. Hamid R. Tizhoosh 
    Opposite Fuzzy Sets with Applications in Image Processing. IFSA/EUSFLAT Conf. 2009, pp 36-41
  5. Miguel PagolaEdurne Barrenechea TartasAranzazu JurioMikel GalarPedro CoutoFarhang Sahba*, Hamid R. Tizhoosh
    Interval-Valued Fuzzy System for Segmentation of Prostate Ultrasound Images. IFSA/EUSFLAT Conf. 2009, pp. 1164-1168
  6. Farzad Khalvati**, Hamid R. Tizhoosh, Arsen R. Hajian
    Increasing Computational Redundancy of Digital Images via Multiresolutional Matching. ICIAR 2009: 146-157
  7. H.R.Tizhoosh, F.Sahba*
    “Quasi-Global Oppositional Fuzzy Thresholding”, FUZZ-IEE 2009, pp. 1346 – 1351

2008

  1. S. Rahnamayan*, H.R. Tizhoosh
    Image Thresholding Using Micro Opposition- Based Differential Evolution (Micro-ODE)
    IEEE World Congress on Computational Intelligence (WCCI-2008), Hong Kong, June 2008, pp. 1409-1416.
  2. M. Ventresca*, H. R. Tizhoosh
    Numerical Condition of Feedforward Networks with Opposite Transfer Functions
    Int. Joint Conference on Neural Networks (IJCNN), pp:3232-3239, Hong Kong, 2008.
  3. Shokri*, Maryam, Tizhoosh, Hamid R., Kamel, Mohamed S.
    Tradeoff between exploration and exploitation of OQ(lambda) with non-Markovian update in dynamic environments
    IEEE Int. Joint Conference on Neural Networks, 2008, Hong Kong, pp. 2915-2921.
  4. Houshmand*, K., Tizhoosh, H.R.
    Filtering and fusion of THz images for defect detection in composite materials
    IEEE International Conference on Fuzzy Systems, 2008, Hong Kong, pp.1301-1305.
  5. Hamid R. Tizhoosh
    Adaptive Lambda-Enhancement: Type I versus Type II Fuzzy Implementation
    To be published in proceedings of IEEE Symposium Series on Computational Intelligence, April 2009, Nashville, USA
  6. Kaveh Houshmand*, Hamid R. Tizhoosh
    Increasing Segmentation Accuracy In Ultrasound Imaging Using Filtering and Snakes
    Canadian Conference on Electrical and Computer Engineering, CCECE 2008, Symposium on Biomedical Engineering, Niagara Falls, Canada, pp. 001333– 01336
  7. Humberto Bustince, Gerardo Artola, Miguel Pagola, Edurne Barrenechea, Hamid Tizhoosh, Sistema neuro-difuso intervalo-valorado aplicado a la segmentaci on de im agenes de ultrasonidos, XIV Congreso Español sobre Tecnologías y Lógica fuzzy, pp. 307-313, 2008
  8. Humberto Bustince, Miguel Pagola, Edurne Barrenechea, Hamid Tizhoosh
    Segmentaci on de im agenes de ultrasonidos de prostata
    XIV Congreso Español sobre Tecnologías y Lógica fuzzy, pp. 563-569, 2008

2007

  1. Farzad Khalvati*, Mark D. Aagaard, Hamid R. Tizhoosh
    Accelerating Image Processing Algorithms Based on the Reuse of Spatial Patterns
    IEEE Canadian conference (CCECE07) in Vancouver , 2007
  2. Shahryar Rahnamayan*, Hamid R. Tizhoosh and Magdy M.A. Salama
    Quasi-Oppositional Differential Evolution
    The 2007 IEEE Congress on Evolutionary Computation, Singapore
  3. Xianghai Wu*, Jonatahn Kofman, H.Tizhoosh
    Active Exploration-based Q-Learning for Large Problems
    The 2007 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2007)
  4. Farhang Sahba*, Hamid R. Tizhoosh and Magdy M.A. Salama
    Application of Opposition-Based Reinforcement Learning in Image Segmentation
    To be published in proceedings of IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2007), Hawaii, April 1-5, 2007
  5. Farzad Khalvati, * Hamid R. Tizhoosh and Mark D. Aagaard
    Opposition-Based Window Memoization for Morphological Algorithms
    To be published in proceedings of IEEE Symposium on Computational Intelligence in Image and Signal Processing (CIISP 2007), Hawaii, April 1-5, 2007
  6. Hamid R. Tizhoosh and Alice R. Malisia*
    Applying Opposition-Based Ideas to the Ant Colony System
    IEEE Swarm Intelligence Symposium (SIS2007), Hawaii, April 1-5, 2007
  7. Mario Ventresca* and Hamid Tizhoosh
    Simulated Annealing with Opposite Neighbors
    To be published in proceedings of IEEE Symposium on Foundations of Computational Intelligence (FOCI’07), Hawaii, April 1-5, 2007, pp. 186-192.
  8. Mario Ventresca* and Hamid Tizhoosh
    Opposite Transfer Functions and Backpropagation Through Time
    To be published in proceedings of IEEE Symposium on Foundations of Computational Intelligence (FOCI’07), Hawaii, April 1-5, 2007, pp. 570-577.
  9. Hamid R. Tizhoosh, Masoud Mahootchi* and K. Ponnambalam
    Opposition-Based Reinforcement Learning in the Management of Water Resources
    To be published in proceedings of IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2007), Hawaii, April 1-5, 2007
  10. Shahryar Rahnamayan*, Hamid R. Tizhoosh and Magdy M.A. Salama
    Opposition-Based Differential Evolution (ODE) With Variable Jumping Rate
    To be published in proceedings of IEEE Symposium on Foundations of Computational Intelligence (FOCI’07), Hawaii, April 1-5, 2007
  11. Hamid R. Tizhoosh, Maryam Shokri* and Mohamed S. Kamel
    Opposition-Based Q(lambda) with Non-Markovian Update
    To be published in proceedings of IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2007), Hawaii, April 1-5, 2007

2006

  1. S. Rahnamayan*, H.R. Tizhoosh, M.M.A. Salama
    Weighted Voting-Based Robust Image Thresholding
    Proceedings of the 13the IEEE International Conference on Image Processing (ICIP-2006), Atlanta, GA, USA, Oct. 2006, pp. 1129-1132.
  2. F.Sahba*, H.R.Tizhoosh, M.Salama
    Increasing Object recognition Rate Using Reinforced Segmentation
    Proceedings of the 13the IEEE International Conference on Image Processing (ICIP-2006), Atlanta, GA, USA, Oct. 2006, pp. 781-784
  3. E. Mohammadi*, H.R.Tizhoosh
    IRIS SEGMENTATION: DETECTING PUPIL, LIMBUS AND EYELIDS
    Proceedings of the 13the IEEE International Conference on Image Processing (ICIP-2006), Atlanta, GA, USA, Oct. 2006, pp. 2453-2456
  4. A.Malisia*, H.R.Tizhoosh
    Image Thresholding Using Ant Colony Optimization
    Proceedings of the 13the IEEE International Conference on Image Processing (ICIP-2006), Atlanta, GA, USA, Oct. 2006, pp. 2409-2412
  5. S. Rahnamayan*, H.R. Tizhoosh, M.M.A. Salama
    Image Thresholding Using Differential Evolution
    Proceedings of International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV-2006), Las Vegas, USA, June 2006, pp. 244-249.
  6. Shokri*, M., Tizhoosh, H.R., Kamel, M.
    Opposition-Based Q(lambda) Algorithm
    Proceedings of IEEE International Joint Conference on Neural Networks part of IEEE World Congress on Computational Intelligence, Vancouver, Canada, pp. 646–653, 2006.
  7. Ventresca*, M., Tizhoosh, H.R.
    Improving the Convergence of Backpropagation by Opposite Transfer Functions
    Proceedings of IEEE International Joint Conference on Neural Networks part of IEEE World Congress on Computational Intelligence, Vancouver, pp. 9527–9534, 2006.
  8. Sahba*, F., Tizhoosh, H.R., Salama, M.M.A.
    A Reinforcement Learning Framework for Medical Image Segmentation
    Proceedings of IEEE International Joint Conference on Neural Networks part of IEEE World Congress on Computational Intelligence, Vancouver, pp. 1238–1244, 2006.
  9. Rahnamayan*, S., Tizhoosh, H.R., Salama, M.M.A.
    Opposition-Based Differential Evolution Algorithms
    Proceedings of IEEE Congress on Evolutionary Computation part of IEEE World Congress on Computational Intelligence, Vancouver, Canada, pp. 7363–7370, 2006.
  10. Rahnamayan*, S., Tizhoosh, H.R., Salama, M.M.A.
    Opposition-Based Differential Evolution for Optimization of Noisy Problems
    Proceedings of IEEE Congress on Evolutionary Computation part of IEEE World Congress on Computational Intelligence, Vancouver, pp. 6756–6763, 2006.
  11. M.Mahhotchi*, H.R.Tizhoosh, Ponnuambalam
    Reservoir Operation Optimization by Reinforcement Learning, in “Contemporary Modeling of Urban Water Systems” proceedings of International Conference on Stormwater and Urban Water Systems Modeling
  12. M.Shokri*, H.R.Tizhoosh, M.Kamel
    Reinforcement Learning for Personalizing Searched Images
    I2LOR 2006 conference, Montreal, November 2006
  13. Alice R. Malisia*, Hamid R. Tizhoosh
    IMAGE THRESHOLDING USING ANT COLONY OPTIMIZATION
    Third Canadian Conference on Computer and Robot Vision, June 7th-9th at Québec city.
  14. S. Rahnamayan*, H.R. Tizhoosh, M.M.A Salama
    Opposite of Random Number Instead of Second Random Number
    The 6th Annual MOPTA Conference, Modeling and Optimization: Theory and Applications, University of Waterloo, Waterloo, Canada, Jul. 2006.

2005

  1. N. Mooman*, H.R. Tizhoosh, O. Basir
    On-line Multi-Agents Reinforcement Learning System: Learning Model System, ICDE 22
  2. H.R.Tizhoosh
    Opposition-Based Learning: A New Scheme for Machine Intelligence
    Proceedings of International Conference on Computational Intelligence for Modelling Control and Automation – CIMCA’2005, Vienna – Austria, vol. I, pp. 695-701
  3. H.R.Tizhoosh
    Reinforcement Learning Based on Actions and Opposite Actions
    ICGST International Conference on Artificial Intelligence and Machine Learning (AIML-05), Cairo, Egypt
  4. S. Rahnamayan*, H.R. Tizhoosh, M.M.A. Salama
    Recognition of Subjective Objects Based on One Gold Sample
    5th WSEAS International Conference on Signal, Speech and Image Processing (WSEAS SSIP’05), pp. 309-314
  5. S. Rahnamayan*, H.R. Tizhoosh, M.M.A. Salama
    Robust Object Segmentation Using Genetic Optimization of Morphological Processing Chains. 5th WSEAS International Conference on Signal, Speech and Image Processing (WSEAS SSIP’05), pp. 248-253
  6. S. Rahnamayan*, H.R. Tizhoosh, M.M.A. Salama
    Optimization of Object Extraction Based on One User-Prepared Sample
    5th Annual MOPTA, Conference Modeling and Optimization: Theory and Applications July 25-27, 2005 -University of Windsor, Windsor ON Canada
  7. Mohammadi*, E.M., Tizhoosh, H.R.
    Pattern Analysis Using Zernike Moments IEEE Instrumentation and Measurement Technology Conference, Ottawa, Canada, pp. 1574-1578, 17-19 MAY 2005
  8. Ensafi*, P., Tizhoosh, H.R.
    Type-2 Fuzzy image enhancement
    International Conference on Image Analysis and Recognition- ICIAR2005, Springer Lecture Notes in Computer Science series (Springer LCNS), Toronto, Sep. 28-30 (2005)
  9. Rahnamayan*, S., Tizhoosh, H.R., Salama, M.M.A.
    Learning Image Filtering from a Gold Sample Based on Genetic Optimization of Morphological Processing
    Proc. of 7th Int. Conf. on Adaptive and Natural Computing Algorithms, Springer-Verlag (Vienna), Coimbra, Portugal (2005), pp. 478-481
  10. Rahnamayan*, S., Tizhoosh, H.R., Salama, M.M.A.
    Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images. International Conference on Image Analysis and Recognition- ICIAR2005, Springer Lecture Notes in Computer Science series (Springer LCNS), Toronto, Canada, Sep. 28-30 (2005), pp. 930-937
  11. Sahba*, F., Tizhoosh, H.R., Salama, M.M.A.
    Using Reinforcement Learning for Filter Fusion in Image Enhancement
    The Fourth IASTED International Conference on Computational Intelligence, July 4-6, 2005, Calgary, Alberta, Canada.
  12. Sahba*, F., Tizhoosh, H.R., Salama, M.M.A.
    Segmentation of Prostate Boundaries Using Regional Contrast Enhancement
    The IEEE International Conference on Image Processing (ICIP), September 11-14, 2005, Genova, Italy.

2004

  1. Shokri*, M., Tizhoosh, H.R.
    Q(lambda)-Based Image Thresholding
    Canadian Conference on Computer and Robot Vision, 2004, pp. 504-508
  2. Sahba*, F., Tizhoosh, H.R., Salama, M.M.A.
    A new technique for adaptive fuzzy image enhancement for edge detection
    The International Workshop om Multidisciplinary Image, Video and Audio Retrieval andMining, Sherbrooke, Canada, October 25-26, 2004

2003

  1. Awad, J., Abdel-Galil, T.K., Salama, M.M.A., Fenster, A., Rizkalla, K., Downey, D.B., and Tizhoosh, H.R.
    Prostate’s Boundary Detection in Transrectal Ultrasound Images Using Scanning Technique. IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2003), vol. 2, May 2003, pp. 11991202.
  2. Shokri*, M., Tizhoosh, H.R.
    Using Reinforcement Learning for Image Thresholding
    The Canadian Conference on Electrical and Computer Engineering (CCECE), May 4-7, 2003, Montreal, vol.1, pp. 1231-1234
  3. Sahba*, F., Tizhoosh, H.R.
    Filter Fusion for Image Enhancement Using Reinforcement Learning
    The Canadian Conference on Electrical and Computer Engineering (CCECE), May 4-7, vol. 2, 2003, Montreal, pp. 847-850
  4. Song*, J., Tizhoosh, H.R.
    Fuzzy Anisotropic Diffusion: A Rule Based Approach
    Proceedings of the 7thWorld Multiconference on Systemics, Cyebernetics and Informatics, July 27-30, 2003, Orlando, USA, pp. 241-246
  5. Seong* H.K., Tizhoosh, H.R., Kamel, M.
    Choquet Integral-based Aggregation of Image Template Matching Algorithms
    NAFIPS 2003, July 24-26, 2003, Chicago, pp. 143-148.

2002

  1. Tizhoosh, H.R.
    Fast Fuzzy Edge Detection
    NAFIPS 2002, North American Fuzzy Information Processing Society, New Orleans, pp. 239-242
  2. Tizhoosh, H.R.
    Observer-Dependent Sharpening
    ICIP 2002, IEEE International Conference on Image Processing, Rochester, USA

2001

  1. Tizhoosh, H.R.
    Observer-Dependent Image Enhancement. Proceeding of FUZZ-IEEE 2001, Melbourne, Australia, pp. 23-26

1999

  1. Tizhoosh, H.R., Michaelis, B.
    Image Enhancement Based on Fuzzy Aggregation techniques. Oroceedings of 16th IEEE IMTC’99, Venice, Italy, vol. 3, pp. 1813-1817
  2. Tizhoosh, H.R.
    An Universal Filter Based on Soft Computing Techniques
    Proc. Of 4th Int. Workshop Neural Networks in Applications (NN’99), Magdeburg, Germany, 1999, pp. 219-224
  3. Tizhoosh, H.R., Michaelis, B.
    Subjectivity, Psychology and Fuzzy Techniques: A New Approach to Image Enhancement. NAFIPS’99, New York, USA

1998

  1. Tizhoosh, H.R., Krell, G., Michaelis, B. 
    Lambda-Enhancement: Contrast adaptation based on Optimization of Image Fuzziness. FUZZ-IEEE’98, pp. 1548-1553, Alaska, USA
  2. Tizhoosh, H.R., Michaelis, B.
    Improvement of Image Quality Based on Subjective Evaluation and Fuzzy Aggregation techniques. EUFIT’98, Aachen, Germany, 1998, vol. 2, pp. 1325-1329
  3. Tizhoosh, H.R.
    Fuzzy Image Processing: Potentials and State of the Art
    IIZUKA’98, 5th International Conference on Soft Computing, Iizuka, Japan, October 16-20, 1998, vol. 1, pp. 321-324
  4. Tizhoosh, H.R. Krell, G., Michaelis, B.
    A Hybrid Neuro Fuzzy System for Knowledge-Based Restoration of Electronic Portal Images in Radiation Therapy
    IIZUKA’98, 5th International Conference on Soft Computing, Iizuka, Japan, October 16-20, 1998, vol. 1, pp. 341-344

1997

  1. Tizhoosh, H.R., Krell, G., Michaelis, B. 
    Locally Adaptive Fuzzy Image Enhancement. In B. Reusch (Ed.), Computational Intelligence, Theory and Applications. Proc. Of 5th Fuzzy Days’97, Dortmund, Germany, Springer, pp. 272-276
  2. Tizhoosh, H.R., Krell, G., Michaelis, B. 
    On Fuzzy Image Enhancement of Megavoltage Images in Radiation Therapy. FUZZ-IEEE’97, Spain, 1399-1404
  3. Tizhoosh, H.R., Krell, G., Michaelis, B. 
    Additive Fuzzy Enhancement and an Associative Memory for Feature Tracking in Radiation Therapy Images. ICIP’97, Santa Barara, USA, 398-401
  4. Krell,G., Tizhoosh, H.R., Lilienblum, T., Michaelis, B. 
    Enhancement and Associative Restoration of Electonic Portal Images in Radiation Therapy. IEEE Symposium on Computer-Based Medical Systems 1997, Maribor, Slovenien, 104-108
  5. Krell,G., Tizhoosh, H.R., Lilienblum, T., Michaelis, B. 
    Fuzzy Image Enhancement and Associative Feature Matching in Radiotherapy. ICNN’97, Houston, USA, 1490-1495

1995

  • HR. Tizhoosh, M. Fochem, Image Enhancement with Fuzzy Histogram Hyperbolization, Proceeding of EUFIT’95, vol.3, 1695-1698, 1995.

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