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Hussein Moghnieh, PhD
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Automatic segmentation of cells from microscopic imagery using ellipse detection
N Kharma, H Moghnieh, J Yao, YP Guo, A Abu-Baker, J Laganiere, ...
IET Image Processing 1 (1), 39-47, 2007
762007
Using competitive co-evolution to evolve better pattern recognisers
T Kowaliw, N Kharma, C Jensen, H Moghnieh, J Yao
International Journal of Computational Intelligence and Applications 5 (03 …, 2005
172005
New open-source software for subcellular segmentation and analysis of spatiotemporal fluorescence signals using deep learning
SA Kamran, KF Hossain, H Moghnieh, S Riar, A Bartlett, A Tavakkoli, ...
Iscience 25 (5), 2022
112022
Neurobiological correlates and predictors of two distinct personality trait pathways to escalated alcohol use
MA Shakra, M Leyton, H Moghnieh, J Pruessner, A Dagher, R Pihl
EBioMedicine 27, 86-93, 2018
102018
The Solution of Electromagnetic Field Problems Using a Sliding Window Gauss-Seidel Algorithm on a Multicore Processor
H Moghnieh, DA Lowther
IEEE transactions on magnetics 46 (8), 3081-3084, 2010
102010
Understanding the efficiency of parallel incomplete Cholesky preconditioners on the performance of ICCG solvers for multi-core and GPU systems
H Moghnieh, DA Lowther
Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field …, 2010
82010
CellNet Co-Ev: Evolving better pattern recognizers using competitive co-evolution
T Kowaliw, N Kharma, C Jensen, H Moghnieh, J Yao
Genetic and Evolutionary Computation–GECCO 2004: Genetic and Evolutionary …, 2004
32004
Software for segmenting and quantifying calcium signals using multi-scale generative adversarial networks
H Moghnieh, SA Kamran, KF Hossain, N Kuol, S Riar, A Bartlett, ...
STAR protocols 3 (4), 101852, 2022
12022
Design and analysis of low frequency electromagnetic devices: Exploring and exploiting parallelism on multi-core processors
H Moghnieh
McGill University (Canada), 2012
2012
Architecture Independent Performance Evaluation of Sparse Matrix-Vector Multiplication on Multi-Core Processors
H Moghnieh, DA Lowther
CellNet Co-Ev: Evolving Better Pattern Recognizers Using Competitive Co-Evolution
N Kharma, T Kowaliw, C Jensen, H Moghnieh, J Yao
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Articles 1–11