| Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states S Shakil, CH Lee, SD Keilholz Neuroimage 133, 111-128, 2016 | 265 | 2016 |
| Role of deep learning in brain tumor detection and classification (2015 to 2020): A review M Nazir, S Shakil, K Khurshid Computerized medical imaging and graphics 91, 101940, 2021 | 169 | 2021 |
| Considerations for resting state functional MRI and functional connectivity studies in rodents WJ Pan, JCW Billings, JK Grooms, S Shakil, SD Keilholz Frontiers in neuroscience 9, 269, 2015 | 97 | 2015 |
| Phase-amplitude coupling and infraslow (< 1 Hz) frequencies in the rat brain: relationship to resting state fMRI GJ Thompson, WJ Pan, JCW Billings, JK Grooms, S Shakil, D Jaeger, ... Frontiers in integrative neuroscience 8, 41, 2014 | 50 | 2014 |
| Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies SD Keilholz, WJ Pan, J Billings, M Nezafati, S Shakil Neuroimage 154, 267-281, 2017 | 39 | 2017 |
| Stress effects on exam performance using EEG MA Hafeez, S Shakil, S Jangsher 2018 14th International Conference on Emerging Technologies (ICET), 1-4, 2018 | 30 | 2018 |
| Parametric Dependencies of Sliding Window Correlation CHL Sadia Shakil, Jacob C. Billings, Shella D. Keilholz IEEE Transactions on Biomedical Engineering 65 (2), 254 - 263, 2017 | 26 | 2017 |
| Brain injury and dementia in Pakistan: current perspectives MM Adamson, S Shakil, T Sultana, MA Hasan, F Mubarak, SA Enam, ... Frontiers in neurology 11, 299, 2020 | 23 | 2020 |
| Instantaneous brain dynamics mapped to a continuous state space JCW Billings, A Medda, S Shakil, X Shen, A Kashyap, S Chen, A Abbas, ... Neuroimage 162, 344-352, 2017 | 23 | 2017 |
| On frequency dependencies of sliding window correlation S Shakil, SD Keilholz, CH Lee 2015 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2015 | 20 | 2015 |
| Cluster-based analysis for characterizing dynamic functional connectivity S Shakil, ME Magnuson, SD Keilholz, CH Lee 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 13 | 2014 |
| Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm ASM RImsha Mahrukh, Sadia Shakil Scientific Reports, 2023 | 9 | 2023 |
| Hand electromyography circuit and signals classification using artificial neural network M Shahzaib, S Shakil 2018 14th International Conference on Emerging Technologies (ICET), 1-6, 2018 | 6 | 2018 |
| Multiscale network activity in resting state fMRI SD Keilholz, JCW Billings, K Wang, A Abbas, C Hafeneger, WJ Pan, ... 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 5 | 2016 |
| Adaptive change point detection of dynamic functional connectivity networks S Shakil, SD Keilholz, CH Lee 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 4 | 2016 |
| Multi-task learning architecture for brain tumor detection and segmentation in MRI images KK Maria Nazir, Muhammad Junaid Ali, Hafiz Zahid Tufail, Ahmad Raza Shahid ... Journal of Electronic Imaging 31 (5), 2022 | 3 | 2022 |
| Classification of forearm EMG signals for 10 motions using optimum feature-channel combinations M Shahzaib, S Shakil, S Ghuffar, M Maqsood, FA Bhatti Computer Methods in Biomechanics and Biomedical Engineering 24 (9), 945-955, 2021 | 2 | 2021 |
| EEG-based stress identification and classification using deep learning MA Hafeez, S Shakil Multimedia Tools and Applications 83 (14), 42703-42719, 2024 | 1 | 2024 |
| End‑to‑End Multi‑task Learning Architecture for Brain Tumor Analysis with Uncertainty Estimation in MRI Images M Nazir, S Shakil, K Khurshid Journal of Imaging Informatics in Medicine, 2024 | | 2024 |
| Robust and adaptive terrain classification and gait event detection system UQ Shaikh, M Shahzaib, S Shakil, FA Bhatti, MA Saeed Heliyon 9 (11), 2023 | | 2023 |
Shella KeilholzBiomedical Engineering, Emory University/ Georgia Institute of Technology在 bme.gatech.edu 的电子邮件经过验证
