| A Hi-Bi ultra-sensitive surface plasmon resonance fiber sensor MS Islam, CMB Cordeiro, J Sultana, RA Aoni, S Feng, R Ahmed, ... IEEE access 7, 79085-79094, 2019 | 162 | 2019 |
| Low loss and low dispersion hybrid core photonic crystal fiber for terahertz propagation MS Islam, J Sultana, M Dorraki, J Atai, MR Islam, A Dinovitser, BWH Ng, ... Photonic Network Communications 35 (3), 364-373, 2018 | 43 | 2018 |
| The development of tumour vascular networks A Fouladzadeh, M Dorraki, KKM Min, MP Cockshell, EJ Thompson, ... Communications biology 4 (1), 1111, 2021 | 24 | 2021 |
| On detection of periodicity in C-reactive protein (CRP) levels M Dorraki, A Fouladzadeh, SJ Salamon, A Allison, BJ Coventry, D Abbott Scientific reports 8 (1), 11979, 2018 | 22 | 2018 |
| Baseline gut microbiota composition is associated with oral mucositis and tumour recurrence in patients with head and neck cancer: a pilot study G Al-Qadami, J Bowen, Y Van Sebille, K Secombe, M Dorraki, J Verjans, ... Supportive Care in Cancer 31 (1), 98, 2023 | 21 | 2023 |
| Truels and strategies for survival M Dorraki, A Allison, D Abbott Scientific reports 9 (1), 8996, 2019 | 14 | 2019 |
| Can C-reactive protein (CRP) time series forecasting be achieved via deep learning? M Dorraki, A Fouladzadeh, SJ Salamon, A Allison, BJ Coventry, D Abbott IEEE Access 7, 59311-59320, 2019 | 14 | 2019 |
| Angiogenic networks in tumors—insights via mathematical modeling M Dorraki, A Fouladzadeh, A Allison, CS Bonder, D Abbott IEEE Access 8, 43215-43228, 2020 | 11 | 2020 |
| Composing recipes based on nutrients in food in a machine learning context Z Lei, A ul Haq, M Dorraki, D Zhang, D Abbott Neurocomputing 415, 382-396, 2020 | 6 | 2020 |
| On moment of velocity for signal analysis M Dorraki, A Fouladzadeh, A Allison, BR Davis, D Abbott Royal Society Open Science 6 (3), 2019 | 6 | 2019 |
| Improving cardiovascular disease prediction with machine learning using mental health data: a prospective UK Biobank study M Dorraki, Z Liao, D Abbott, PJ Psaltis, E Baker, N Bidargaddi, HR Wardill, ... JACC: Advances 3 (9_Part_2), 101180, 2024 | 5 | 2024 |
| An efficient brush model for real-time oil painting using image processing algorithms M Dorraki, SS Ghidary, MB Menhaj 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA …, 2012 | 4 | 2012 |
| Cardiovascular disease risk prediction via machine learning using mental health data M Dorraki, Z Liao, D Abbott, PJ Psaltis, E Baker, N Bidargaddi, ... European Heart Journal-Digital Health 3 (4), ztac076. 2784, 2022 | 2 | 2022 |
| Hip osteoarthritis: A novel network analysis of subchondral trabecular bone structures M Dorraki, D Muratovic, A Fouladzadeh, JW Verjans, A Allison, ... PNAS nexus 1 (5), pgac258, 2022 | 2 | 2022 |
| Deep learning for C-Reactive protein prediction M Dorraki, A Fouladzadeh, A Allison, B Coventry, D Abbott 2018 2nd European Conference on Electrical Engineering and Computer Science …, 2018 | 2 | 2018 |
| Analysis of the Transient Response of a Dual-Fed RC Transmission Line M Dorraki, GK Cambrell, D Abbott PLOS ONE, 2015 | 2 | 2015 |
| IMPROVING CARDIOVASCULAR DISEASE RISK PREDICTION WITH MACHINE LEARNING USING MENTAL HEALTH DATA: A PROSPECTIVE UK BIOBANK STUDY M Dorraki, Z Liao, D Abbott, PJ Psaltis, E Baker, N Bidargaddi, HR Wardill, ... medRxiv, 2022.10. 23.22281428, 2022 | 1 | 2022 |
| On short-term trends and predictions for COVID-19 in France and the USA: comparison with Australia HC Tuckwell, M Dorraki, SJ Salamon, A Allison, D Abbott medRxiv, 2020.11. 17.20233718, 2020 | 1 | 2020 |
| Parameter identification using moment of velocity M Dorraki, MS Islam, A Allison, D Abbott Royal Society Open Science 6 (11), 190671, 2019 | 1 | 2019 |
| A Deep Learning Approach for the Classification of Fibroglandular Breast Density in Histology Images of Human Breast Tissue H Heydarlou, LJ Hodson, M Dorraki, TE Hickey, WD Tilley, E Smith, ... Cancers 17 (3), 449, 2025 | | 2025 |
Derek AbbottProfessor of Electrical & Electronic Engineering, University of Adelaide, AustraliaVerified email at adelaide.edu.au