| CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images E Hussain, M Hasan, MA Rahman, I Lee, T Tamanna, MZ Parvez Chaos, Solitons & Fractals 142, 110495, 2021 | 416 | 2021 |
| Epileptic seizure detection by analyzing EEG signals using different transformation techniques MZ Parvez, M Paul Neurocomputing 145, 190-200, 2014 | 128 | 2014 |
| Epileptic Seizure Prediction by Exploiting Spatiotemporal Relationship of EEG Signals using Phase Correlation MZ Parvez, M Paul IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (1 …, 2015 | 113 | 2015 |
| Deep learning based binary classification for alzheimer’s disease detection using brain mri images E Hussain, M Hasan, SZ Hassan, TH Azmi, MA Rahman, MZ Parvez 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA …, 2020 | 80 | 2020 |
| Seizure Prediction Using Undulated Global and Local Features MZ Parvez, M Paul IEEE Transactions on Biomedical Engineering, 2016 | 80 | 2016 |
| Recognition of emotional states using EEG signals based on time-frequency analysis and SVM classifier. FP George, IM Shaikat, PS Ferdawoos, MZ Parvez, J Uddin International Journal of Electrical & Computer Engineering (2088-8708) 9 (2), 2019 | 60 | 2019 |
| Epileptic seizure detection by exploiting temporal correlation of electroencephalogram signals MZ Parvez, M Paul IET Signal Processing 9 (6), 467-475, 2015 | 42 | 2015 |
| Effectiveness of federated learning and CNN ensemble architectures for identifying brain tumors using MRI images M Islam, MT Reza, M Kaosar, MZ Parvez Neural Processing Letters 55 (4), 3779-3809, 2023 | 38 | 2023 |
| Peak to Average Power Ratio (PAPR) Reduction in OFDM Based Radio Systems MZ Parvez, MAA Baki Blekinge Institute of Technology, 2010 | 38 | 2010 |
| A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten compound character recognition MM Khan, MS Uddin, MZ Parvez, L Nahar Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022 | 33 | 2022 |
| EEG Signal Classification using Frequency Band Analysis towards Epileptic Seizure Prediction MZ Parvez, M Paul Computer and Information Technology (ICCIT), 2013 16th International …, 2013 | 33 | 2013 |
| Consumer behavior analysis using EEG signals for neuromarketing application CR Amin, MF Hasin, TS Leon, AB Aurko, T Tamanna, MA Rahman, ... 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2061-2066, 2020 | 27 | 2020 |
| Detection of Pre-stage of Epileptic Seizure by Exploiting Temporal Correlation of EMD Decomposed EEG Signals MZ Parvez, M Paul, M Antolovich Journal of Medical and Bioengineering 4 (2), 2015 | 27 | 2015 |
| Predicting seizure onset based on time-frequency analysis of EEG signals T Tamanna, MA Rahman, S Sultana, MH Haque, MZ Parvez Chaos, Solitons & Fractals 145, 110796, 2021 | 20 | 2021 |
| Cognitive load assessment from EEG and peripheral biosignals for the design of visually impaired mobility aids C Saitis, MZ Parvez, K Kalimeri Wireless Communications and Mobile Computing 2018 (1), 8971206, 2018 | 20 | 2018 |
| Features extraction and classification for Ictal and Interictal EEG signals using EMD and DCT MZ Parvez, M Paul 2012 15th International Conference on Computer and Information Technology …, 2012 | 20 | 2012 |
| Exploring Alzheimer's disease prediction with XAI in various neural network models HA Shad, QA Rahman, NB Asad, AZ Bakshi, SMF Mursalin, MT Reza, ... TENCON 2021-2021 IEEE Region 10 Conference (TENCON), 720-725, 2021 | 17 | 2021 |
| Alzheimer’s disease detection and classification using transfer learning technique and ensemble on convolutional neural networks SU Sadat, HH Shomee, A Awwal, SN Amin, MT Reza, MZ Parvez 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 14 | 2021 |
| Seizure prediction by analyzing EEG signal based on phase correlation MZ Parvez, M Paul 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 13 | 2015 |
| Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning A Kabir, F Kabir, MAH Mahmud, SA Sinthia, SMR Azam, E Hussain, ... TENCON 2021-2021 IEEE Region 10 Conference (TENCON), 905-910, 2021 | 8 | 2021 |
Professor Manoranjan PaulResearcher of the Year 2017 (ACS)在 csu.edu.au 的电子邮件经过验证
