160 citations · 607 across the 73 of their papers we have counts for
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Diversity Enhancement for Micro-Differential Evolution
Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh
The differential evolution (DE) algorithm suffers from high computational time due to slow nature of evaluation. In contrast, micro-DE (MDE) algorithms employ a very small populati…
Self-Configuring and Evolving Fuzzy Image Thresholding
A. Othman, H. R. Tizhoosh, F. Khalvati
Every segmentation algorithm has parameters that need to be adjusted in order to achieve good results. Evolving fuzzy systems for adjustment of segmentation parameters have been pr…
Medical Image Classification via SVM using LBP Features from Saliency-Based Folded Data
Zehra Camlica, H. R. Tizhoosh, Farzad Khalvati
Good results on image classification and retrieval using support vector machines (SVM) with local binary patterns (LBPs) as features have been extensively reported in the literatur…
Autoencoding the Retrieval Relevance of Medical Images
Zehra Camlica, H. R. Tizhoosh, Farzad Khalvati
Content-based image retrieval (CBIR) of medical images is a crucial task that can contribute to a more reliable diagnosis if applied to big data. Recent advances in feature extract…
Barcode Annotations for Medical Image Retrieval: A Preliminary Investigation
Hamid R. Tizhoosh
This paper proposes to generate and to use barcodes to annotate medical images and/or their regions of interest such as organs, tumors and tissue types. A multitude of efficient fe…
Evolving Fuzzy Image Segmentation with Self-Configuration
Ahmed Othman, Hamid R. Tizhoosh, Farzad Khalvati
Current image segmentation techniques usually require that the user tune several parameters in order to obtain maximum segmentation accuracy, a computationally inefficient approach…
Learning Opposites with Evolving Rules
Hamid R. Tizhoosh, Shahryar Rahnamayan
The idea of opposition-based learning was introduced 10 years ago. Since then a noteworthy group of researchers has used some notions of oppositeness to improve existing optimizati…