Publications

Journal (Peer-reviewed)

  • Nazir M., Shakil S., Khurshid K., “Role of Deep Learning in Brain Tumor Detection and Classification (2015 to 2020): A Review”,  Computerized Medical Imaging and Graphics, May, 2021.

  • Shahzaib M., Shakil S., Ghuffar S., Maqsood M., Bhatti FA., “Classification of forearm EMG signals for 10 motions using optimum feature-channel combinations”, Computer Methods in Biomechanics and Biomedical Engineering, December, 2020. 
  • Adamson MM., Shakil S., Sultana T., Mubarak F., Eman SA., Parvaz MA., Razi A., ” Brain Injury and Dementia in Pakistan: Current Perspectives”, Frontiers in Neurology, April, 2020. 
  • Shakil S., Billings J., Keilholz SD., Lee C.-H.,” Parametric Dependencies of Sliding Window Correlation”, IEEE Transactions on Biomedical Engineering, 2018.
  • Billings J.,  Medda A., Shakil S.,  Shen X.,  Kashyap A., Chen S.,  Abbas A.,  Zhang X.,  Nezafati M., Pan W-J., Berman G., Keilholz S., “Instantaneous Brain Dynamics Mapped to a Continuous State Space”, NeuroImage, November, 2017.
  • Keilholz SD., Pan WJ., Billings JCW., Nezafati M., Shakil S., “Noise and non-neuronal contributions to the BOLD signal: Applications to and insight from animal studies”, NeuroImage,  December, 2016
  • Shakil S., Lee C.-H., and Keilholz SD., “Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states”, NeuroImage, June, 2016.
  • Pan WJ., Billings JCW., Grooms JK., Shakil S., Keilholz SD., “Considerations for resting state functional MRI and functional connectivity studies in rodents”, Frontiers in Neuroscience, 2015.
  • Thompson GJ., Pan WJ., Billings JCW., Grooms JK., Shakil S., Jaeger D., Keilholz SD., “Phase-amplitude coupling and infraslow (< 1 Hz) frequencies in the rat brain: relationship to resting state fMRI”, Frontiers in Integrative Neuroscience, 2014.

Conference (Peer-reviewed)

  • Mohammad S., Shakil S., “Hand Electromyography Circuit and Signals Classification Using Artificial Neural Network”, 14th IEEE International Conference on Emerging Technologies, Islamabad, Pakistan, 2018.
  • Mohammad AH., Shakil S., Jangsher S., “Stress Effects on Exam Performance using EEG”, 14th IEEE International Conference on Emerging Technologies, Islamabad, Pakistan, 2018.
  • Shakil S., Keilholz SD., and Lee C.-H., “Adaptive Change Point Detection of Dynamic Functional Connectivity Networks”, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016.
  • Keilholz SD., Billings JCW., Wang K., Abbas A., Hafeneger C., Pan WJ., Shakil S., Nezafati M., “Multiscale network activity in resting state fMRI”, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016.
  • Shakil S., Keilholz SD., and Lee C.-H., “On Frequency Dependencies of Sliding Window Correlation”, IEEE International Conference on Bioinformatics and Biomedicine, 2015.
  • Shakil S., Magnuson M., Keilholz SD., and Lee C.-H., “Cluster-based analysis for characterizing dynamic functional connectivity,” 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014. 

Conference (Abstracts only)

  • Shakil S., Faber S., McCulloch AR., Brown T., Shen K., McIntosh AR., “Relationship of Brain States and Music Perception using Uniform Manifold Approximation and Projection” Society for Neuroscience conference, 2018.
  • Shakil S., Faber S., McCulloch AR., Brown T., Shen K., McIntosh AR., “Relationship of Brain States and Music Perception using Uniform Manifold Approximation and Projection” Sixth Biennial Conference on Resting State and Brain Connectivity, 2018.
  • Shakil S., Faber S., McCulloch AR., Brown T., Shen K., McIntosh AR., “Relationship of EEG and music features through low dimensional manifolds” INCF, 2018.
  • Shakil S., Billings J., Lee C.-H., and Keilholz SD., “Low Dimensional Visualization of Sliding Window Correlation results using t-SNE”, OHBM conference, 2016.
  • Shakil S., Lee C.-H., and Keilholz SD., “Functional Connectivity Adaptive Change Point Detection Algorithm”, OHBM conference, 2016.
  • Shakil S., Lee C.-H., and Keilholz SD., “Filter dependence of dynamic functional connectivity”, in OHBM conference, 2015.
  • Shakil S., Lee C.-H., and Keilholz SD., “The identification of state transitions and durations in resting state functional connectivity”, in International Society of Magnetic Resonance in Medicine conference, 2015.
  • Shakil S., Lee C.-H., and Keilholz SD., “Evaluation of dynamic analysis methods for characterization of time-varying functional connectivity”, in Resting State /Brain Connectivity conference, 2014.
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Research is to see what everyone else has seen, and think what nobody has thought.

– Albert Szent-Györgyi