| Automated identification of diabetic retinal exudates in digital color images A Osareh Color Image Processing, 373-396, 2018 | 365 | 2018 |
| A computational-intelligence-based approach for detection of exudates in diabetic retinopathy images A Osareh, B Shadgar, R Markham IEEE Transactions on Information Technology in Biomedicine 13 (4), 535-545, 2009 | 336 | 2009 |
| Comparison of colour spaces for optic disc localisation in retinal images A Osareh, M Mirmehdi, B Thomas, R Markham 2002 International Conference on Pattern Recognition 1, 743-746, 2002 | 230 | 2002 |
| Classification and localisation of diabetic-related eye disease A Osareh, M Mirmehdi, B Thomas, R Markham Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002 | 222 | 2002 |
| Machine learning techniques to diagnose breast cancer A Osareh, B Shadgar 2010 5th international symposium on health informatics and bioinformatics …, 2010 | 217 | 2010 |
| Automatic recognition of exudative maculopathy using fuzzy c-means clustering and neural networks A Osareh, M Mirmehdi, B Thomas, R Markham Proc. Medical Image Understanding Analysis Conf 3, 49-52, 2001 | 150 | 2001 |
| Comparative exudate classification using support vector machines and neural networks A Osareh, M Mirmehdi, B Thomas, R Markham International conference on medical image computing and computer-assisted …, 2002 | 139 | 2002 |
| Automated identification of diabetic retinal exudates and the optic disc A Osareh | 120 | 2004 |
| Automatic blood vessel segmentation in color images of retina AR OSAREH, B Shadgar IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B-ENGINEERING 33 (2 …, 2009 | 114 | 2009 |
| Colour morphology and snakes for optic disc localisation A Osareh, M Mirmehdi, B Thomas, R Markham Unknown, 21-24, 2002 | 100 | 2002 |
| Vessel segmentation in retinal images using multi-scale line operator and K-means clustering VM Saffarzadeh, A Osareh, B Shadgar Journal of Medical Signals & Sensors 4 (2), 122-129, 2014 | 88 | 2014 |
| Intrusion detection in computer networks based on machine learning algorithms A Osareh, B Shadgar International Journal of Computer Science and Network Security 8 (11), 15-23, 2008 | 68 | 2008 |
| Ontology alignment using machine learning techniques B Shadgara, AH Nejhadia, A Osareha International Journal of Computer Science and Information Technology 3, 2011 | 65 | 2011 |
| A computer aided diagnosis system for breast cancer A Osareh, B Shadgar International Journal of Computer Science Issues (IJCSI) 8 (2), 233, 2011 | 57 | 2011 |
| DENSA: An effective negative selection algorithm with flexible boundaries for self-space and dynamic number of detectors S Fouladvand, A Osareh, B Shadgar, M Pavone, S Sharafi Engineering Applications of Artificial Intelligence 62, 359-372, 2017 | 42 | 2017 |
| Microarray data analysis for cancer classification A Osareh, B Shadgar 2010 5th international symposium on health informatics and bioinformatics …, 2010 | 34 | 2010 |
| A segmentation method of lung cavities using region aided geometric snakes A Osareh, B Shadgar Journal of medical systems 34, 419-433, 2010 | 25 | 2010 |
| An automated tracking approach for extraction of retinal vasculature in fundus images A Osareh, B Shadgar Journal of ophthalmic & vision research 5 (1), 20, 2010 | 25 | 2010 |
| An efficient ensemble learning method for gene microarray classification A Osareh, B Shadgar BioMed research international 2013 (1), 478410, 2013 | 23 | 2013 |
| Spam filtering by using a compound method of feature selection A Beiranvand, A Osareh, B Shadgar Journal of Academic and Applied Studies 2 (3), 25-31, 2012 | 21 | 2012 |
