The Use of Opposition for Decreasing Function Evaluations in Population-Based Search M Ventresca, S Rahnamayan, HR Tizhoosh Computational Intelligence in Optimization, 49-71, 2010
Reinforced Medical Image Segmentation F Sahba, HR Tizhoosh, MMA Salama Computational Intelligence in Medical Imaging: Techniques and Applications, 327, 2009 H.R.Tizhoosh, KIMIA Lab, University of Waterloo, June 2021
Oppositional Concepts in Computational Intelligence HR Tizhoosh, M Ventresca Studies in Computational Intelligence. Berlin, Germany: Springer 155, 2008
Type II fuzzy image segmentation HR Tizhoosh, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 607-619, 2008
Reinforcement Agents for E-Learning Applications HR Tizhoosh, M Shokri, M Kamel E-Learning Networked Environments and Architectures, 251-275, 2007
The outline of a reinforcement-learning agents for e-learning applications HR Tizhoosh, M Shokri, M Kamel E-Learning Networked Environments and Architectures: A Knowledge Processing …, 2005
Fast and robust fuzzy edge detection, HR Tizhoosh Fuzzy Filters for Image Processing, 178-194, 2003
Enhancement of megavoltage images in radiation therapy using fuzzy and neural image processingtechniques HR Tizhoosh, G Krell, B Michaelis Fuzzy Systems in Medicine, 316-334, 2000
Fuzzy image processing: an overview HR Tizhoosh, H Haußecker Handbook on computer vision and applications, Academic Press, Boston, 683-727, 1999