Cluster-based analysis for characterizing dynamic functional connectivity. - Sadia Shakil; Matthew Evan Magnuson; Shella D. Keilholz; Chin-Hui Lee (EMBC, 2014)

On frequency dependencies of sliding window correlation. - Sadia Shakil; Shella Dawn Keilholz; Chin-Hui Lee (BIBM, 2015)

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 (EMBC, 2016)

Adaptive change point detection of dynamic functional connectivity networks. - Sadia Shakil; Shella D. Keilholz; Chin-Hui Lee (EMBC, 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)

Windowing effects and adaptive change point detection of dynamic functional connectivity in the brain. - Sadia Shakil (2016)

Instantaneous brain dynamics mapped to a continuous state space. - Jacob C. Billings; Alessio Medda; Sadia Shakil; Xiaohong Shen 002; Amrit Kashyap; Shiyang Chen 001; Anzar Abbas; Xiaodi Zhang 004; Maysam Nezafati; Wen-Ju Pan; Gordon J. Berman; Shella D. Keilholz (NeuroImage, 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)

Parametric Dependencies of Sliding Window Correlation. - Sadia Shakil; Jacob C. Billings; Shella D. Keilholz; Chin-Hui Lee (IEEE Trans. Biomed. Eng., 2018)

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)

Multi-task learning architecture for brain tumor detection and segmentation in MRI images. - Maria Nazir; Muhammad Junaid Ali; Zahid Tufail; Ahmad Raza Shahid; Basit Raza; Sadia Shakil; Khurram Khurshid (J. Electronic Imaging, 2022)

EEG-based stress identification and classification using deep learning. - Muhammad Adeel Hafeez; Sadia Shakil (Multim. Tools Appl., 2024)

IG-GCN: Empowering e-Health Services for Alzheimer's Disease Prediction. - Xinyi Chen; Weiheng Yao; Ye Li 011; Dong Liang 001; Hairong Zheng; Sadia Shakil; Shuqiang Wang; Tao Sun 025 (IEEE Trans. Consumer Electron., 2024)