Sadia Shakil

According to our database, Sadia Shakil authored at least 11 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EEG-based stress identification and classification using deep learning.

Muhammad Adeel Hafeez, Sadia Shakil

Multim. Tools Appl., April, 2024

2021

Role of deep learning in brain tumor detection and classification (2015 to 2020): A review.

Maria Nazir, Sadia Shakil, Khurram Khurshid

Comput. Medical Imaging Graph., 2021

2018

Parametric Dependencies of Sliding Window Correlation.

Sadia Shakil, Jacob C. Billings, Shella D. Keilholz, Chin-Hui Lee

IEEE Trans. Biomed. Eng., 2018

2017

Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies.

Shella D. Keilholz, Wen-Ju Pan, Jacob C. Billings, Maysam Nezafati, Sadia Shakil

NeuroImage, 2017

Instantaneous brain dynamics mapped to a continuous state space.

Jacob C. Billings, Alessio Medda, Sadia Shakil, Xiaohong Shen, Amrit Kashyap, Shiyang Chen, Anzar Abbas, Xiaodi Zhang, Maysam Nezafati, Wen-Ju Pan, Gordon J. Berman, Shella D. Keilholz

NeuroImage, 2017

2016

Windowing effects and adaptive change point detection of dynamic functional connectivity in the brain.

Sadia Shakil

PhD thesis, 2016

Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states.

Sadia Shakil, Chin-Hui Lee, Shella Dawn Keilholz

NeuroImage, 2016

Adaptive change point detection of dynamic functional connectivity networks.

Sadia Shakil, Shella D. Keilholz, Chin-Hui Lee

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Multiscale network activity in resting state fMRI.

Shella D. Keilholz, Jacob C. Billings, Kai Wang, Anzar Abbas, Claudia Hafeneger, Wen-Ju Pan, Sadia Shakil, Maysam Nezafati

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

On frequency dependencies of sliding window correlation.

Sadia Shakil, Shella Dawn Keilholz, Chin-Hui Lee

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Cluster-based analysis for characterizing dynamic functional connectivity.

Sadia Shakil, Matthew Evan Magnuson, Shella D. Keilholz, Chin-Hui Lee

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014