Review of brain MRI image segmentation methods MA Balafar, AR Ramli, MI Saripan, S Mashohor Artificial Intelligence Review 33, 261-274, 2010 | 618 | 2010 |
Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts M Dashtban, M Balafar Genomics 109 (2), 91-107, 2017 | 152 | 2017 |
A novel image encryption algorithm based on polynomial combination of chaotic maps and dynamic function generation M Asgari-Chenaghlu, MA Balafar, MR Feizi-Derakhshi Signal Processing 157, 1-13, 2019 | 123 | 2019 |
A hybrid algorithm using a genetic algorithm and multiagent reinforcement learning heuristic to solve the traveling salesman problem MM Alipour, SN Razavi, MR Feizi Derakhshi, MA Balafar Neural Computing and Applications 30, 2935-2951, 2018 | 120 | 2018 |
Gene selection for tumor classification using a novel bio-inspired multi-objective approach M Dashtban, M Balafar, P Suravajhala Genomics 110 (1), 10-17, 2018 | 101 | 2018 |
Gaussian mixture model based segmentation methods for brain MRI images MA Balafar Artificial Intelligence Review 41, 429-439, 2014 | 93 | 2014 |
Fuzzy C-mean based brain MRI segmentation algorithms MA Balafar Artificial intelligence review 41, 441-449, 2014 | 83 | 2014 |
The state-of-the-art in expert recommendation systems N Nikzad–Khasmakhi, MA Balafar, MR Feizi–Derakhshi Engineering Applications of Artificial Intelligence 82, 126-147, 2019 | 75 | 2019 |
CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation AG Oskouei, M Hashemzadeh, B Asheghi, MA Balafar Applied Soft Computing 113, 108005, 2021 | 52 | 2021 |
CWI: A multimodal deep learning approach for named entity recognition from social media using character, word and image features M Asgari-Chenaghlu, MR Feizi-Derakhshi, L Farzinvash, MA Balafar, ... Neural Computing and Applications, 1-18, 2022 | 35 | 2022 |
A new method for MR grayscale inhomogeneity correction MA Balafar, AR Ramli, S Mashohor Artificial Intelligence Review 34, 195-204, 2010 | 35 | 2010 |
Cy: Chaotic yolo for user intended image encryption and sharing in social media M Asgari-Chenaghlu, MR Feizi-Derakhshi, N Nikzad-Khasmakhi, ... Information Sciences 542, 212-227, 2021 | 34 | 2021 |
Compare different spatial based fuzzy-C_mean (FCM) extensions for MRI image segmentation MA Balafar, AR Ramli, S Mashohor, A Farzan 2010 The 2nd International Conference on Computer and Automation Engineering …, 2010 | 33 | 2010 |
New multi-scale medical image segmentation based on fuzzy c-mean (FCM) MA Balafar, ABDR Ramli, MI Saripan, R Mahmud, S Mashohor, M Balafar 2008 IEEE Conference on Innovative Technologies in Intelligent Systems and …, 2008 | 33 | 2008 |
A survey of neighborhood construction algorithms for clustering and classifying data points S Pourbahrami, MA Balafar, LM Khanli, ZA Kakarash Computer Science Review 38, 100315, 2020 | 30 | 2020 |
Fuzzy clustering based on Forest optimization algorithm A Chaghari, MR Feizi-Derakhshi, MA Balafar Journal of King Saud university-computer and information sciences 30 (1), 25-32, 2018 | 30 | 2018 |
Topic detection and tracking techniques on Twitter: a systematic review M Asgari-Chenaghlu, MR Feizi-Derakhshi, L Farzinvash, MA Balafar, ... Complexity 2021, 1-15, 2021 | 29 | 2021 |
Review of noise reducing algorithms for brain MRI images M Balafar methods 10, 11, 2012 | 27 | 2012 |
Improved fast fuzzy C-mean and its application in medical image segmentation MA Balafar, ABD Rahman Ramli, M Iqbal Saripan, S Mashohor, ... Journal of Circuits, Systems, and Computers 19 (01), 203-214, 2010 | 27 | 2010 |
Medical image segmentation using fuzzy c-mean (FCM) and user specified data MA Balafar, ABD Rahman Ramli, MI Saripan, S Mashohor, R Mahmud Journal of Circuits, Systems, and Computers 19 (01), 1-14, 2010 | 27 | 2010 |