Farhad Maleki
Farhad Maleki
Assistant Professor, University of Calgary
Verified email at - Homepage
Cited by
Cited by
Gene Set Analysis: Challenges, Opportunities, and Future Research
F Maleki, K Ovens, DJ Hogan, AJ Kusalik
Frontiers in Genetics 11, 654, 2020
An image encryption system by cellular automata with memory
F Maleki, A Mohades, SM Hashemi, ME Shiri
2008 third international conference on availability, reliability and …, 2008
Crop lodging prediction from UAV-acquired images of wheat and canola using a DCNN augmented with handcrafted texture features
S Mardanisamani, F Maleki, S Hosseinzadeh Kassani, S Rajapaksa, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Brief history of artificial intelligence
N Muthukrishnan, F Maleki, K Ovens, C Reinhold, B Forghani, R Forghani
Neuroimaging Clinics 30 (4), 393-399, 2020
Machine learning algorithm validation: from essentials to advanced applications and implications for regulatory certification and deployment
F Maleki, N Muthukrishnan, K Ovens, C Reinhold, R Forghani
Neuroimaging Clinics 30 (4), 433-445, 2020
Size matters: how sample size affects the reproducibility and specificity of gene set analysis
F Maleki, K Ovens, I McQuillan, AJ Kusalik
Human genomics 13 (1), 1-12, 2019
Overview of machine learning part 1: fundamentals and classic approaches
F Maleki, K Ovens, K Najafian, B Forghani, C Reinhold, R Forghani
Neuroimaging Clinics 30 (4), e17-e32, 2020
Overview of machine learning: part 2: deep learning for medical image analysis
WT Le, F Maleki, FP Romero, R Forghani, S Kadoury
Neuroimaging Clinics 30 (4), 417-431, 2020
DAPPLE 2: a tool for the homology-based prediction of post-translational modification sites
B Trost, F Maleki, A Kusalik, S Napper
Journal of Proteome Research 15 (8), 2760-2767, 2016
Measuring consistency among gene set analysis methods: A systematic study
F Maleki, KL Ovens, DJ Hogan, E Rezaei, AM Rosenberg, AJ Kusalik
Journal of bioinformatics and computational biology 17 (05), 1940010, 2019
Machine learning applications for head and neck imaging
F Maleki, WT Le, T Sananmuang, S Kadoury, R Forghani
Neuroimaging Clinics 30 (4), 517-529, 2020
Sample size and reproducibility of gene set analysis
F Maleki, K Ovens, I McQuillan, AJ Kusalik
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
Juxtapose: a gene-embedding approach for comparing co-expression networks
K Ovens, F Maleki, BF Eames, I McQuillan
BMC bioinformatics 22 (1), 1-26, 2021
Gene set databases: a fountain of knowledge or a siren call?
F Maleki, K Ovens, I McQuillan, E Rezaei, AM Rosenberg, AJ Kusalik
Proceedings of the 10th ACM International Conference on Bioinformatics …, 2019
Gene Set Overlap: An Impediment to Achieving High Specificity in Over-representation Analysis
F Maleki, A Kusalik
12th International conference on Biomedical Engineering Systems and …, 2019
Evolutionary approach for developing fast and stable offline humanoid walk
H Farazi, F Ahmadinejad, F Maleki, ME Shiri
2013 3rd Joint Conference of AI & Robotics and 5th RoboCup Iran Open …, 2013
Dual energy computed tomography in head and neck imaging: pushing the envelope
T Sananmuang, M Agarwal, F Maleki, N Muthukrishnan, JC Marquez, ...
Neuroimaging Clinics 30 (3), 311-323, 2020
Method Choice in Gene Set Analysis Has Important Consequences for Analysis Outcome
F Maleki, K Ovens, E Rezaei, A Rosenberg, A Kusalik
12th International conference on Biomedical Engineering Systems and …, 2019
A synthetic kinome microarray data generator
F Maleki, A Kusalik
Microarrays 4 (4), 432-453, 2015
A CA randomizers based on parallel CAs with balanced rules
F Maleki, A Mohades, ME Shiri, A Bijari
Procedia Computer Science 1 (1), 417-425, 2010
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