Hamid R. Tizhoosh

Samar Samir Mohamed, J. M. Li, Magdy M. A. Salama, George H. Freeman, Hamid R. Tizhoosh, A. Fenster, K. Rizkalla: An Automated Neural-Fuzzy Approach to Malignant Tumor Localization in 2D Ultrasonic Images of the Prostate. J. Digital Imaging 24(3): 411-423 (2011)

Ahmed A. Othman, Hamid R. Tizhoosh: Evolving fuzzy image segmentation. FUZZ-IEEE 2011: 1603-1609

Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan: Multi-resolution level set image segmentation using wavelets. ICIP 2011: 269-272

Ahmed A. Othman, Hamid R. Tizhoosh: Segmentation of Breast Ultrasound Images Using Neural Networks. EANN/AIAI (1) 2011: 260-269

Farzad Khalvati, Mehdi Kianpour, Hamid R. Tizhoosh: Cascaded Window Memoization for Medical Imaging. EANN/AIAI (2) 2011: 275-284

Ahmed A. Othman, Hamid R. Tizhoosh: Neural image thresholding with SIFT-Controlled gabor features. IJCNN 2011: 2106-2112

Mario Ventresca, Shahryar Rahnamayan, Hamid R. Tizhoosh: A note on "Opposition versus randomness in soft computing techniques" [Appl. Soft Comput 8 (2) (2008) 906-918]. Appl. Soft Comput. 10(3): 956-957 (2010)

Humberto Bustince Sola, Miguel Pagola, Edurne Barrenechea Tartas, Javier Fernández, Pedro Melo-Pinto, Pedro Couto, Hamid R. Tizhoosh, Javier Montero: Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images. Fuzzy Sets and Systems 161(1): 20-36 (2010)

Ahmed A. Othman, Hamid R. Tizhoosh: Neural Image Thresholding Using SIFT: A Comparative Study. ACIVS (1) 2010: 38-49

Soumya Banerjee, Hamid R. Tizhoosh: Visualization of hidden structures in corporate failure prediction using opposite pheromone per node model. IEEE Congress on Evolutionary Computation 2010: 1-5

Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan: Oppositional fuzzy image thresholding. FUZZ-IEEE 2010: 1-7

Ahmed A. Othman, Hamid R. Tizhoosh: A Neural Approach to Image Thresholding. ICANN (1) 2010: 561-564

Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan: Opposition based computing - A survey. IJCNN 2010: 1-7

Ahmed A. Othman, Hamid R. Tizhoosh: Image thresholding using neural network. ISDA 2010: 1159-1164

Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel: Oppositional target domain estimation using grid-based simulation. Appl. Soft Comput. 9(1): 423-430 (2009)

Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama: Automatic Acquisition of Image Filtering and Object Extraction Procedures from Ground-Truth Samples. JACIII 13(2): 115-127 (2009)

Hamid R. Tizhoosh: Opposite Fuzzy Sets with Applications in Image Processing. IFSA/EUSFLAT Conf. 2009: 36-41

Miguel Pagola, Edurne Barrenechea Tartas, Aranzazu Jurio, Mikel Galar, Pedro Couto, Farhang Sahba, Hamid R. Tizhoosh: Interval-Valued Fuzzy System for Segmentation of Prostate Ultrasound Images. IFSA/EUSFLAT Conf. 2009: 1164-1168

Hamid R. Tizhoosh, Farhang Sahba: Quasi-global oppositional fuzzy thresholding. FUZZ-IEEE 2009: 1346-1351

Farzad Khalvati, Hamid R. Tizhoosh, Arsen R. Hajian: Increasing Computational Redundancy of Digital Images via Multiresolutional Matching. ICIAR 2009: 146-157

Mario Ventresca, Hamid R. Tizhoosh: Improving gradient-based learning algorithms for large scale feedforward networks. IJCNN 2009: 3212-3219

Hamid R. Tizhoosh, Mario Ventresca (Eds.): Oppositional Concepts in Computational Intelligence. Studies in Computational Intelligence 155, Springer 2008, isbn 978-3-540-70826-1

Maryam Shokri, Hamid R. Tizhoosh: A reinforcement agent for threshold fusion. Appl. Soft Comput. 8(1): 174-181 (2008)

Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama: Opposition versus randomness in soft computing techniques. Appl. Soft Comput. 8(2): 906-918 (2008)

Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama: Application of reinforcement learning for segmentation of transrectal ultrasound images. BMC Medical Imaging 8: 8 (2008)

Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama: A reinforcement agent for object segmentation in ultrasound images. Expert Syst. Appl. 35(3): 772-780 (2008)

Mario Ventresca, Hamid R. Tizhoosh: A diversity maintaining population-based incremental learning algorithm. Inf. Sci. 178(21): 4038-4056 (2008)

Hamid R. Tizhoosh: Interval-valued versus intuitionistic fuzzy sets: Isomorphism versus semantics. Pattern Recognition 41(5): 1812-1813 (2008)

Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama: Opposition-Based Differential Evolution. IEEE Trans. Evolutionary Computation 12(1): 64-79 (2008)

Shahryar Rahnamayan, Hamid R. Tizhoosh: Image thresholding using micro opposition-based Differential Evolution (Micro-ODE). IEEE Congress on Evolutionary Computation 2008: 1409-1416

Kaveh Houshmand, Hamid R. Tizhoosh: Filtering and fusion of THz images for defect detection in composite materials. FUZZ-IEEE 2008: 1301-1305

Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel: Tradeoff between exploration and exploitation of OQ(lambda) with non-Markovian update in dynamic environments. IJCNN 2008: 2915-2921

Mario Ventresca, Hamid R. Tizhoosh: Numerical condition of feedforward networks with opposite transfer functions. IJCNN 2008: 3233-3240

Hamid R. Tizhoosh, Mario Ventresca: Introduction. Oppositional Concepts in Computational Intelligence 2008: 1-8

Hamid R. Tizhoosh, Mario Ventresca, Shahryar Rahnamayan: Opposition-Based Computing. Oppositional Concepts in Computational Intelligence 2008: 11-28

Shahryar Rahnamayan, Hamid R. Tizhoosh: Differential Evolution Via Exploiting Opposite Populations. Oppositional Concepts in Computational Intelligence 2008: 143-160

Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel: The Concept of Opposition and Its Use in Q-Learning and Q(lambda) Techniques. Oppositional Concepts in Computational Intelligence 2008: 233-253

Mario Ventresca, Hamid R. Tizhoosh: Two Frameworks for Improving Gradient-Based Learning Algorithms. Oppositional Concepts in Computational Intelligence 2008: 255-284

Farhang Sahba, Hamid R. Tizhoosh: Opposite Actions in Reinforced Image Segmentation. Oppositional Concepts in Computational Intelligence 2008: 287-297

Masoud Mahootchi, Hamid R. Tizhoosh, Kumaraswamy Ponnambalam: Opposition Mining in Reservoir Management. Oppositional Concepts in Computational Intelligence 2008: 299-321

Hamid R. Tizhoosh: Type II Fuzzy Image Segmentation. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 607-619

Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama: A novel population initialization method for accelerating evolutionary algorithms. Computers & Mathematics with Applications 53(10): 1605-1614 (2007)

Andrew Hamilton-Wright, Daniel W. Stashuk, Hamid R. Tizhoosh: Fuzzy Classification Using Pattern Discovery. IEEE T. Fuzzy Systems 15(5): 772-783 (2007)

Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama: Quasi-oppositional Differential Evolution. IEEE Congress on Evolutionary Computation 2007: 2229-2236

Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama: Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate. FOCI 2007: 81-88

Mario Ventresca, Hamid R. Tizhoosh: Simulated Annealing with Opposite Neighbors. FOCI 2007: 186-192

Mario Ventresca, Hamid R. Tizhoosh: Opposite Transfer Functions and Backpropagation Through Time. FOCI 2007: 570-577

Xianghai Wu, Jonathan Kofman, Hamid R. Tizhoosh: Active exploratory q-learning for large problems. SMC 2007: 4040-4045

Hamid R. Tizhoosh, Graham W. Taylor: Reinforced Contrast Adaptation. Int. J. Image Graphics 6(3): 377-392 (2006)

Hamid R. Tizhoosh: Opposition-Based Reinforcement Learning. JACIII 10(4): 578-585 (2006)

Jialin Song, Hamid R. Tizhoosh: Fuzzy anisotropic diffusion based on edge detection. Journal of Intelligent and Fuzzy Systems 17(5): 431-442 (2006)

Hamid R. Tizhoosh, Rozita A. Dara: On poem recognition. Pattern Anal. Appl. 9(4): 325-338 (2006)

Alice R. Malisia, Hamid R. Tizhoosh: Image Thresholding Using Ant Colony Optimization. CRV 2006: 26

Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama: Increasing Object Recognition Rate using Reinforced Segmentation. ICIP 2006: 781-784

Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama: Weighted Voting-Based Robust Image Thresholding. ICIP 2006: 1129-1132

Alice R. Malisia, Hamid R. Tizhoosh: Applying Ant Colony Optimization to Binary Thresholding. ICIP 2006: 2409-2412

Ehsan Mohammadi Arvacheh, Hamid R. Tizhoosh: IRIS Segmentation: Detecting Pupil, Limbus and Eyelids. ICIP 2006: 2453-2456

Maryam Shokri, Hamid R. Tizhoosh, Mohamed Kamel: Opposition-Based Q(lambda) Algorithm. IJCNN 2006: 254-261

Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama: A Reinforcement Learning Framework for Medical Image Segmentation. IJCNN 2006: 511-517

Mario Ventresca, Hamid R. Tizhoosh: Improving the Convergence of Backpropagation by Opposite Transfer Functions. IJCNN 2006: 4777-4784

Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama: Image Thresholding Using Differential Evolution. IPCV 2006: 244-249

Hamid R. Tizhoosh: Image thresholding using type II fuzzy sets. Pattern Recognition 38(12): 2363-2372 (2005)

Hamid R. Tizhoosh: Opposition-Based Learning: A New Scheme for Machine Intelligence. CIMCA/IAWTIC 2005: 695-701

Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama: Using Reinforcement Learning for Filter Fusion in Image Enhancement. Computational Intelligence 2005: 262-266

P. Ensafi, Hamid R. Tizhoosh: Type-2 Fuzzy Image Enhancement. ICIAR 2005: 159-166

Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama: Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images. ICIAR 2005: 930-937

Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama: Segmentation of prostate boundaries using regional contrast enhancement. ICIP (2) 2005: 1266-1269

Maryam Shokri, Hamid R. Tizhoosh: Q(lambda)-Based Image Thresholding. CRV 2004: 504-508

Hamid R. Tizhoosh: Observer-dependent sharpening. ICIP (1) 2002: 816-819

Hamid R. Tizhoosh, Gerald Krell, Bernd Michaelis: Knowledge-based enhancement of megavoltage images in radiation therapy using a hybrid neuro-fuzzy system. Image Vision Comput. 19(4): 217-233 (2001)

Hamid R. Tizhoosh: Invited talk: Observer-dependent Image Enhancement. FUZZ-IEEE 2001: 23-26

Hamid R. Tizhoosh: Über Binarisierung und Potentiale der Fuzzy-Ansätze. GI Jahrestagung 1998: 97-106

Hamid R. Tizhoosh: Fuzzy-Bildverarbeitung - Einführung in Theorie und Praxis. Springer 1997, isbn 978-3-540-63137-8, pp. I-XIII, 1-242

Gerald Krell, Hamid R. Tizhoosh, Tilo Lilienblum, C. J. Moore, Bernd Michaelis: Enhancement and associative restoration of electronic portal images in radiotherapy. CBMS 1997: 104-108

Hamid R. Tizhoosh, Gerald Krell, Bernd Michaelis: Locally Adaptive Fuzzy Image Enhancement. Fuzzy Days 1997: 272-276

Hamid R. Tizhoosh, Gerald Krell, Bernd Michaelis: Additive Fuzzy Enhancement and an Associative Memory for Feature Tracking in Radiation Therapy Images. ICIP (2) 1997: 398-401