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Ismail M. Khater
Ismail M. Khater
Postdoctoral Research Fellow, Simon Fraser University, University of British Columbia
Verified email at sfu.ca - Homepage
Title
Cited by
Cited by
Year
A review of super-resolution single-molecule localization microscopy cluster analysis and quantification methods
IM Khater, IR Nabi, G Hamarneh
Patterns 1 (3), 2020
2082020
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
482018
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
452019
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
392012
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
352012
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
332012
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
222012
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
212019
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
192019
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
122020
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
112020
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
102021
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
102019
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
92023
Texture analysis-based image spam filtering
B Al-Duwairi, I Khater, O Al-Jarrah
2011 International Conference for Internet Technology and Secured …, 2011
92011
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
62012
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
22017
Methods for analysis of single molecule localization microscopy to define molecular architecture
I KHATER, G Hamarneh, IR Nabi, M Fanrui
12019
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
12018
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
12016
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Articles 1–20