Follow
Sadia Shakil
Sadia Shakil
The Chinese University of Hong Kong
Verified email at gatech.edu - Homepage
Title
Cited by
Cited by
Year
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
2562016
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
1412021
Considerations for resting state functional MRI and functional connectivity studies in rodents
WJ Pan, JC Billings, JK Grooms, S Shakil, SD Keilholz
Frontiers in neuroscience 9, 151739, 2015
992015
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
492014
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
372017
Stress effects on exam performance using EEG
MA Hafeez, S Shakil, S Jangsher
2018 14th International Conference on Emerging Technologies (ICET), 1-4, 2018
302018
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
252017
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
232017
Brain injury and dementia in Pakistan: current perspectives
MM Adamson, S Shakil, T Sultana, MA Hasan, F Mubarak, SA Enam, ...
Frontiers in neurology 11, 522669, 2020
212020
On frequency dependencies of sliding window correlation
S Shakil, SD Keilholz, CH Lee
2015 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2015
192015
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
132014
Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm
ASM RImsha Mahrukh, Sadia Shakil
Scientific Reports, 2023
62023
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
62018
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
52016
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
42016
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
22021
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
12022
EEG-based stress identification and classification using deep learning
H M. A., S S.
Multimedia Tools and Applications, 2023
2023
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
Windowing effects and adaptive change point detection of dynamic functional connectivity in the brain
S Shakil
Georgia Institute of Technology, 2016
2016
The system can't perform the operation now. Try again later.
Articles 1–20