| Patient-specific seizure detection in long-term EEG using wavelet decomposition M Kaleem, A Guergachi, S Krishnan Biomedical Signal Processing and Control 46, 157-165, 2018 | 48 | 2018 |
| EEG seizure detection and epilepsy diagnosis using a novel variation of empirical mode decomposition M Kaleem, A Guergachi, S Krishnan 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 43 | 2013 |
| Pathological speech signal analysis and classification using empirical mode decomposition M Kaleem, B Ghoraani, A Guergachi, S Krishnan Medical & biological engineering & computing 51, 811-821, 2013 | 43 | 2013 |
| Advances in functional magnetic resonance imaging data analysis methods using empirical mode decomposition to investigate temporal changes in early Parkinson's disease D Cordes, X Zhuang, M Kaleem, K Sreenivasan, Z Yang, V Mishra, ... Alzheimer's & Dementia: Translational Research & Clinical Interventions 4 …, 2018 | 36 | 2018 |
| Segmentation of brain tumor tissue using marker controlled watershed transform method M Kaleem, M Sanaullah, MA Hussain, MA Jaffar, TS Choi Emerging Trends and Applications in Information Communication Technologies …, 2012 | 36 | 2012 |
| Green human resource management and pro-environmental behaviour nexus with the lens of AMO theory T Iftikar, S Hussain, MI Malik, S Hyder, M Kaleem, A Saqib Cogent business & management 9 (1), 2124603, 2022 | 33 | 2022 |
| CRC handbook of modern telecommunications PA Morreale, K Terplan CRC press, 2018 | 33 | 2018 |
| Patient-specific seizure detection in long-term EEG using signal-derived empirical mode decomposition (EMD)-based dictionary approach M Kaleem, D Gurve, A Guergachi, S Krishnan Journal of neural engineering 15 (5), 056004, 2018 | 31 | 2018 |
| Application of empirical mode decomposition and Teager energy operator to EEG signals for mental task classification MF Kaleem, L Sugavaneswaran, A Guergachi, S Krishnan 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010 | 30 | 2010 |
| Empirical mode decomposition based sparse dictionary learning with application to signal classification M Kaleem, A Guergachi, S Krishnan 2013 IEEE Digital Signal Processing and Signal Processing Education Meeting …, 2013 | 16 | 2013 |
| Energy-period profiles of brain networks in group fMRI resting-state data: a comparison of empirical mode decomposition with the short-time fourier transform and the discrete … D Cordes, MF Kaleem, Z Yang, X Zhuang, T Curran, KR Sreenivasan, ... Frontiers in Neuroscience 15, 663403, 2021 | 14 | 2021 |
| Telephone-quality pathological speech classification using empirical mode decomposition MF Kaleem, B Ghoraani, A Guergachi, S Krishnan 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 12 | 2011 |
| Hierarchical decomposition based on a variation of empirical mode decomposition M Kaleem, A Guergachi, S Krishnan Signal, Image and Video Processing 11 (5), 793-800, 2017 | 9 | 2017 |
| Organizational justice and employee in-role performance nexus: a dual theory perspective S Hyder, MI Malik, S Hussain, M Tasneem, M Kaleem, A Saqib Cogent Business & Management 9 (1), 2124602, 2022 | 7 | 2022 |
| Using a variation of empirical mode decomposition to remove noise from signals MF Kaleem, A Guergachi, S Krishnan, AE Cetin 2011 21st International Conference on Noise and Fluctuations, 123-126, 2011 | 7 | 2011 |
| An Adaptive Algorithm for Compressively Sampled MR Image Reconstruction Using Projections onto -Ball M Kaleem, M Qureshi, H Omer Applied Magnetic Resonance 47 (4), 415-428, 2016 | 6 | 2016 |
| Application of a variation of empirical mode decomposition and teager energy operator to EEG signals for mental task classification M Kaleem, A Guergachi, S Krishnan 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 6 | 2013 |
| Artificial intelligence with temporal features outperforms machine learning in predicting diabetes I Naveed, MF Kaleem, K Keshavjee, A Guergachi PLOS digital health 2 (10), e0000354, 2023 | 5 | 2023 |
| Comparison of empirical mode decomposition, wavelets, and different machine learning approaches for patient-specific seizure detection using signal-derived empirical dictionary … M Kaleem, A Guergachi, S Krishnan Frontiers in Digital Health 3, 738996, 2021 | 5 | 2021 |
| A variation of empirical mode decomposition with intelligent peak selection in short time windows MF Kaleem, A Guergachi, S Krishnan 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 5 | 2013 |
Sridhar (Sri) KrishnanProfessor, Toronto Metropolitan University; Founding CSO - Nanu HealthVerified email at ryerson.ca
