| A review of super-resolution single-molecule localization microscopy cluster analysis and quantification methods IM Khater, IR Nabi, G Hamarneh Patterns 1 (3), 2020 | 244 | 2020 |
| Super resolution network analysis defines the molecular architecture of caveolae and caveolin-1 scaffolds IM Khater, F Meng, TH Wong, IR Nabi, G Hamarneh Scientific reports 8 (1), 9009, 2018 | 52 | 2018 |
| Super-resolution modularity analysis shows polyhedral caveolin-1 oligomers combine to form scaffolds and caveolae IM Khater, Q Liu, KC Chou, G Hamarneh, IR Nabi Scientific reports 9 (1), 9888, 2019 | 48 | 2019 |
| Identifying potentially useful email header features for email spam filtering O Al-Jarrah, I Khater, B Al-Duwairi The sixth international conference on digital society (ICDS) 30, 140, 2012 | 39 | 2012 |
| Identifying spam e-mail based-on statistical header features and sender behavior A Qaroush, IM Khater, M Washaha Proceedings of the CUBE International Information Technology Conference, 771-778, 2012 | 36 | 2012 |
| Detecting image spam using image texture features B Al-Duwairi, I Khater, O Al-Jarrah International Journal for Information Security Research (IJISR) 2 (3/4), 344-353, 2012 | 33 | 2012 |
| Object recognition system using template matching based on signature and principal component analysis IA Aljarrah, AS Ghorab, IM Khater International Journal of Digital Information and Wireless Communications …, 2012 | 22 | 2012 |
| Caveolae and scaffold detection from single molecule localization microscopy data using deep learning IM Khater, ST Aroca-Ouellette, F Meng, IR Nabi, G Hamarneh PLoS One 14 (8), e0211659, 2019 | 21 | 2019 |
| Optimising the power using firework‐based evolutionary algorithms for emerging IoT applications HM Ali, W Ejaz, DC Lee, IM Khater IET Networks 8 (1), 15-31, 2019 | 21 | 2019 |
| Fault detection in rotating machinery based on sound signal using edge machine learning RR Shubita, AS Alsadeh, IM Khater IEEE Access 11, 6665-6672, 2023 | 18 | 2023 |
| A review of super-resolution single-molecule localization microscopy cluster analysis and quantification methods. Patterns 1: 100038 IM Khater, IR Nabi, G Hamarneh University of Minnesota, Minneapolis, Minnesota, USA, 37-55, 2020 | 15 | 2020 |
| A review of super-resolution single-molecule localization microscopy cluster analysis and quantification methods. Patterns. 2020; 1 (3): 100038 IM Khater, IR Nabi, G Hamarneh PubMed Abstract| Publisher Full Text| Free Full Text, 2020 | 12 | 2020 |
| Single molecule network analysis identifies structural changes to caveolae and scaffolds due to mutation of the caveolin-1 scaffolding domain TH Wong, IM Khater, B Joshi, M Shahsavari, G Hamarneh, IR Nabi Scientific reports 11 (1), 7810, 2021 | 10 | 2021 |
| Identification of caveolin-1 domain signatures via machine learning and graphlet analysis of single-molecule super-resolution data IM Khater, F Meng, IR Nabi, G Hamarneh Bioinformatics 35 (18), 3468-3475, 2019 | 10 | 2019 |
| Texture analysis-based image spam filtering B Al-Duwairi, I Khater, O Al-Jarrah 2011 International Conference for Internet Technology and Secured …, 2011 | 9 | 2011 |
| Chessboard recognition system using signature, principal component analysis and color information IM Khater, AS Ghorab, IA Aljarrah 2012 Second International Conference on Digital Information Processing and …, 2012 | 6 | 2012 |
| Distinguishing Biological and Non-Biological Networks in Single Molecule Localization Super Resolution Microscopy IM Khater, Y Liu, Q Liu, F Meng, KC Chou, IR Nabi, G Hamarneh American Society for Cell Biology and European Molecular Biology …, 2017 | 2 | 2017 |
| Methods for analysis of single molecule localization microscopy to define molecular architecture I KHATER, G Hamarneh, IR Nabi, M Fanrui | 1 | 2019 |
| Caveolin-1 domain characterization using machine learning and graphlet analysis of single molecule super resolution microscopy IM Khater, G Hamarneh, IR Nabi, F Meng MOLECULAR BIOLOGY OF THE CELL 29 (26), 2018 | 1 | 2018 |
| Sub-cellular network analysis of ryanodine receptor positioning in control and phosphorylated states IM Khater, DRL Scriven, EDW Moore, G Hamarneh 2016 Computing in Cardiology Conference (CinC), 821-824, 2016 | 1 | 2016 |
Ghassan HamarnehComputing Science, Simon Fraser UniversityVerified email at sfu.ca
