| Review of brain MRI image segmentation methods MA Balafar, AR Ramli, MI Saripan, S Mashohor Artificial Intelligence Review 33 (3), 261-274, 2010 | 440 | 2010 |
| Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review A Jalalian, SBT Mashohor, HR Mahmud, MIB Saripan, ARB Ramli, ... Clinical imaging 37 (3), 420-426, 2013 | 253 | 2013 |
| A framework for white blood cell segmentation in microscopic blood images using digital image processing F Sadeghian, Z Seman, AR Ramli, BHA Kahar, MI Saripan Biological procedures online 11 (1), 196, 2009 | 175 | 2009 |
| Review of visual odometry: types, approaches, challenges, and applications MOA Aqel, MH Marhaban, MI Saripan, NB Ismail SpringerPlus 5 (1), 1897, 2016 | 98 | 2016 |
| Effects of pump recycling technique on stimulated Brillouin scattering threshold: A theoretical model HA Al-Asadi, MH Al-Mansoori, M Ajiya, S Hitam, MI Saripan, MA Mahdi Optics express 18 (21), 22339-22347, 2010 | 84 | 2010 |
| Skin Segmentation Using YUV and RGB Color Spaces. ZH Al-Tairi, RWOK Rahmat, MI Saripan, PS Sulaiman JIPS 10 (2), 283-299, 2014 | 71 | 2014 |
| Brillouin linewidth characterization in single mode large effective area fiber through the co-pumped technique H Alasadi, MH Al-Mansoori, S Hitam, MI Saripan, MA Mahdi IJECCT 1 (1), 2010 | 61 | 2010 |
| Artificial neural network approach in radar target classification NK Ibrahim, R Abdullah, MI Saripan Journal of Computer Science 5 (1), 23, 2009 | 57 | 2009 |
| Semi-automatic detection and counting of oil palm trees from high spatial resolution airborne imagery HZM Shafri, N Hamdan, MI Saripan International journal of remote sensing 32 (8), 2095-2115, 2011 | 56 | 2011 |
| A new fuzzy approach for dynamic load balancing algorithm A Karimi, F Zarafshan, A Jantan, AR Ramli, M Saripan arXiv preprint arXiv:0910.0317, 2009 | 43 | 2009 |
| Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection A Jalalian, S Mashohor, R Mahmud, B Karasfi, MIB Saripan, ARB Ramli EXCLI journal 16, 113, 2017 | 42 | 2017 |
| The thermoluminescence response of doped SiO2 optical fibres subjected to fast neutrons S Hashim, DA Bradley, MI Saripan, AT Ramli, H Wagiran Applied Radiation and Isotopes 68 (4-5), 700-703, 2010 | 41 | 2010 |
| Detection of denial of service attacks against domain name system using neural networks S Rastegari, MI Saripan, MFA Rasid arXiv preprint arXiv:0912.1815, 2009 | 35 | 2009 |
| Review of liver segmentation and computer assisted detection/diagnosis methods in computed tomography M Moghbel, S Mashohor, R Mahmud, MIB Saripan Artificial Intelligence Review 50 (4), 497-537, 2018 | 34 | 2018 |
| Thermoluminescence dosimetry properties and kinetic parameters of lithium potassium borate glass co-doped with titanium and magnesium oxides S Hashim, YSM Alajerami, AT Ramli, SK Ghoshal, MA Saleh, ABA Kadir, ... Applied Radiation and Isotopes 91, 126-130, 2014 | 34 | 2014 |
| The effect of TiO2 and MgO on the thermoluminescence properties of a lithium potassium borate glass system YSM Alajerami, S Hashim, SK Ghoshal, MA Saleh, T Kadni, MI Saripan, ... Journal of Physics and Chemistry of Solids 74 (12), 1816-1822, 2013 | 34 | 2013 |
| Multi-sources data fusion framework for remote triage prioritization in telehealth OH Salman, MFA Rasid, MI Saripan, SK Subramaniam Journal of medical systems 38 (9), 103, 2014 | 29 | 2014 |
| New multi-scale medical image segmentation based on fuzzy c-mean (FCM) MA Balafar, AR Ramli, MI Saripan, R Mahmud, S Mashohor, M Balafar 2008 IEEE Conference on Innovative Technologies in Intelligent Systems and …, 2008 | 29 | 2008 |
| Automatic liver tumor segmentation on computed tomography for patient treatment planning and monitoring M Moghbel, S Mashohor, R Mahmud, MIB Saripan EXCLI journal 15, 406, 2016 | 27 | 2016 |
| Neural network based for automatic vehicle classification in forward scattering radar RSA Abdullah, MI Saripan, M Cherniakov IET Digital Library, 2007 | 26 | 2007 |
S MashohorAssociate Professor at Computer and Communication Systems Engineering Department, Faculty ofDirección de correo verificada de upm.edu.my
