| CSI 3.0: a web server for identifying secondary and super-secondary structure in proteins using NMR chemical shifts NE Hafsa, D Arndt, DS Wishart Nucleic acids research 43 (W1), W370-W377, 2015 | 172 | 2015 |
| CSI 2.0: a significantly improved version of the Chemical Shift Index NE Hafsa, DS Wishart Journal of biomolecular NMR 60, 131-146, 2014 | 65 | 2014 |
| An ensemble of global and local-attention based convolutional neural networks for COVID-19 diagnosis on chest X-ray images A Afifi, NE Hafsa, MAS Ali, A Alhumam, S Alsalman Symmetry 13 (1), 113, 2021 | 50 | 2021 |
| A generalized method for modeling the adsorption of heavy metals with machine learning algorithms N Hafsa, S Rushd, M Al-Yaari, M Rahman Water 12 (12), 3490, 2020 | 35 | 2020 |
| Modeling the settling velocity of a sphere in Newtonian and non-Newtonian fluids with machine-learning algorithms S Rushd, N Hafsa, M Al-Faiad, M Arifuzzaman Symmetry 13 (1), 71, 2021 | 23 | 2021 |
| Accessible surface area from NMR chemical shifts NE Hafsa, D Arndt, DS Wishart Journal of biomolecular NMR 62, 387-401, 2015 | 10 | 2015 |
| Prediction of arsenic removal in aqueous solutions with non‐neural network algorithms N Hafsa, M Al‐Yaari, S Rushd The Canadian Journal of Chemical Engineering 99, S135-S146, 2021 | 9 | 2021 |
| Comparative performance of machine-learning and deep-learning algorithms in predicting gas–liquid flow regimes N Hafsa, S Rushd, H Yousuf Processes 11 (1), 177, 2023 | 7 | 2023 |
| Polyphenol chrysin for management of skin disorders: Current status and future opportunities MM Islam, S Nagaraja, NE Hafsa, G Meravanige, SMB Asdaq, MK Anwer Journal of King Saud University-Science 34 (5), 102026, 2022 | 7 | 2022 |
| Rapid and reliable protein structure determination via chemical shift threading NE Hafsa, MV Berjanskii, D Arndt, DS Wishart Journal of Biomolecular NMR 70, 33-51, 2018 | 5 | 2018 |
| Muscle percentage index as a marker of disease severity in golden retriever muscular dystrophy A Eresen, NE Hafsa, L Alic, SM Birch, JF Griffin IV, JN Kornegay, JX Ji Muscle & Nerve 60 (5), 621-628, 2019 | 3 | 2019 |
| Accurate prediction of pressure losses using machine learning for the pipeline transportation of emulsions N Hafsa, S Rushd, H Alzoubi, M Al-Faiad Heliyon 10 (1), e23591, 2023 | 1 | 2023 |
| Identifying Effective Biomarkers for Accurate Pancreatic Cancer Prognosis Using Statistical Machine Learning R Abu-Khudir, N Hafsa, B Badr Diagnostics 13 (19), 3091, 2023 | 1 | 2023 |
| Sensitive Voltammetric Analysis of Cetirizine Using Electrochemical Sensor Based on Poly (methyl orange) Modified Carbon Nanotube Paste Electrode MM Islam, NE Hafsa, MM Rahman, MD Arifuzzaman, S Rushd International Journal of Electrochemical Science 17 (3), 220310, 2022 | 1 | 2022 |
| Automated whiteboard cleaning system NE Hafsa, MMAS Rushd US Patent 11,887,361, 2024 | | 2024 |
| Diagnostic tools and automated decision support systems for COVID-19 NE Hafsa Researches and Applications of Artificial Intelligence to Mitigate Pandemics …, 2021 | | 2021 |
| Protein Structure Characterization From NMR Chemical Shifts NE Hafsa Department of Computing Science, University of Alberta, Canada, 2016 | | 2016 |
| Multi-parametric MRI-based classification for generating muscle percentage index in muscular dystrophy A Eresen, NE Hafsa, L Alic, SM Birch, JF Griffin, JN Kornegay, JX Ji | | |
David WishartProfessor, Depts. of Computing Science and Biological Sciences - University of Alberta在 ualberta.ca 的电子邮件经过验证
