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Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|July 22, 2021
Role of deep learning in brain tumor detection and classification (2015 to 2020): A reviewMaria Nazir, Sadia Shakil, Khurram Khurshid
Journal of Imaging Informatics in Medicine|April 2, 2024
End-to-End Multi-task Learning Architecture for Brain Tumor Analysis with Uncertainty Estimation in MRI ImagesMaria Nazir, Sadia Shakil, Khurram Khurshid
Scientific Reports|May 4, 2023
Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigmRimsha Mahrukh, Sadia Shakil, Aamir Saeed Malik
Physiology & Behavior|May 19, 2026
From features to functional maps: An attention based framework for explainable memory-related brain network analysisMuhammad Shahzaib, Salma Zainab Farooq, Sadia Shakil
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Adaptive change point detection of dynamic functional connectivity networksSadia Shakil, Sheila D Keilholz, Chin-Hui Lee
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 20, 2025
Uncovering Low-Dimensional Manifolds of Neural Dynamics for Motor-Imagery Based Stroke Rehabilitation: An EEG-Based Brain-Computer Interface StudyTao Liu, Ziwei Wang, Sadia Shakil, et al.
Computer Methods in Biomechanics and Biomedical Engineering|December 28, 2020
Classification of forearm EMG signals for 10 motions using optimum feature-channel combinationsMuhammad Shahzaib, Sadia Shakil, Sajid Ghuffar, et al.
IEEE Transactions on Bio-Medical Engineering|October 17, 2017
Parametric Dependencies of Sliding Window CorrelationSadia Shakil, Jacob C Billings, Shella D Keilholz, et al.
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