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Farhad Maleki

Brief History of Artificial Intelligence
2020 · Nikesh Muthukrishnan, Farhad Maleki, et al. · Neuroimaging Clinics of North America · 233
Gene Set Analysis: Challenges, Opportunities, and Future Research
2020 · Farhad Maleki, Katie Ovens, et al. · Frontiers in Genetics · 219
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Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls
2022 · Farhad Maleki, Katie Ovens, et al. · Radiology Artificial Intelligence · 151
Machine Learning Algorithm Validation
2020 · Farhad Maleki, Nikesh Muthukrishnan, et al. · Neuroimaging Clinics of North America · 142
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Crop Lodging Prediction From UAV-Acquired Images of Wheat and Canola Using a DCNN Augmented With Handcrafted Texture Features
2019 · Sara Mardanisamani, Farhad Maleki, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 59
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Overview of Machine Learning Part 1
2020 · Farhad Maleki, Katie Ovens, et al. · Neuroimaging Clinics of North America · 57
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An Image Encryption System by Cellular Automata with Memory
2008 · Farhad Maleki, Ali Mohades, et al. · International Conference on Availability, Reliability and Security (ARES) · 46
Size matters: how sample size affects the reproducibility and specificity of gene set analysis
2019 · Farhad Maleki, Katie Ovens, et al. · Human Genomics · 45
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Overview of Machine Learning: Part 2
2020 · William Trung Le, Farhad Maleki, et al. · Neuroimaging Clinics of North America · 43
Dual Energy Computed Tomography in Head and Neck Imaging
2020 · Thiparom Sananmuang, Mohit Agarwal, et al. · Neuroimaging Clinics of North America · 26
A Semi-self-supervised Learning Approach for Wheat Head Detection using Extremely Small Number of Labeled Samples
2021 · Keyhan Najafian, Alireza Ghanbari, et al. · IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 25
Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns
2023 · Keyhan Najafian, Alireza Ghanbari, et al. · Plant Phenomics · 21
Above and Beyond Age: Prediction of Major Postoperative Adverse Events in Head and Neck Surgery
2021 · Marco A. Mascarella, Nikesh Muthukrishnan, et al. · Annals of Otology Rhinology & Laryngology · 21
DAPPLE 2: a Tool for the Homology-Based Prediction of Post-Translational Modification Sites
2016 · Brett Trost, Farhad Maleki, et al. · Journal of Proteome Research · 20
Radiomics as an emerging tool in the management of brain metastases
2022 · Alexander Nowakowski, Zubin Lahijanian, et al. · Neuro-Oncology Advances · 19
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Importance of sex and gender factors for COVID-19 infection and hospitalisation: a sex-stratified analysis using machine learning in UK Biobank data
2022 · Zahra Azizi, Yumika Shiba, et al. · BMJ Open · 17
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Machine Learning Applications for Head and Neck Imaging
2020 · Farhad Maleki, William Trung Le, et al. · Neuroimaging Clinics of North America · 16
Juxtapose: a gene-embedding approach for comparing co-expression networks
2021 · Katie Ovens, Farhad Maleki, et al. · BMC Bioinformatics · 15
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Higher concentrations of vitamin D in Canadian children with juvenile idiopathic arthritis compared to healthy controls are associated with more frequent use of vitamin D supplements and season of birth
2021 · Sarah L. Finch, Alan M. Rosenberg, et al. · Nutrition Research · 14
Radiomics and machine learning for the diagnosis of pediatric cervical non-tuberculous mycobacterial lymphadenitis
2022 · Yarab Al Bulushi, Christine Saint-Martin, et al. · Scientific Reports · 13
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Measuring consistency among gene set analysis methods: A systematic study
2019 · Farhad Maleki, Katie L. Ovens, et al. · Journal of Bioinformatics and Computational Biology · 13
Penalty weight tuning in high dose rate brachytherapy using multi-objective Bayesian optimization
2024 · Hossein Jafarzadeh, Majd Antaki, et al. · Physics in Medicine and Biology · 11
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models
2024 · Farhad Maleki, Linda Moy, et al. · Journal of Imaging Informatics in Medicine · 10
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Semi-Self-Supervised Domain Adaptation: Developing Deep Learning Models with Limited Annotated Data for Wheat Head Segmentation
2024 · Alireza Ghanbari, Gholam Hassan Shirdel, et al. · Algorithms · 10
Deep learning for high-resolution dose prediction in high dose rate brachytherapy for breast cancer treatment
2024 · Sébastien Quetin, Boris Bahoric, et al. · Physics in Medicine and Biology · 10
Works count: 84
Citation count: 1,363
H-index: 16
I10-index: 25
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