Gary Hasey

According to our database1, Gary Hasey authored at least 12 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
EEG Biomarkers to Predict Response to Sertraline and Placebo Treatment in Major Depressive Disorder.
IEEE Trans. Biomed. Eng., March, 2023

2022
A Machine Learning Algorithm to Discriminating Between Bipolar and Major Depressive Disorders Based on Resting EEG Data.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2018
Using Machine Learning Algorithms to Enhance the Management of Suicide Ideation.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2014
Minimum Variance Brain Source Localization for Short Data Sequences.
IEEE Trans. Biomed. Eng., 2014

2013
Latent Variable Dimensionality Reduction Using a Kullback-Leibler Criterion and Its Application to Predict Antidepressant Treatment Response.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

2012
A machine learning approach using P300 responses to investigate effect of clozapine therapy.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Application of wavelet based denoising techniques to rTMS evoked potentials.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Using pre-treatment electroencephalography data to predict response to transcranial magnetic stimulation therapy for major depression.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Dorsolateral prefrontal cortex sensitivity to rTMS.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Temporally constrained SCA with applications to EEG data.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Recording EEG During Repetitive Trans-cranial Magnetic Stimulation.
Proceedings of the BIOSIGNALS 2009, 2009

2007
A Simple and Fast Algorithm for Automatic Suppression of High-Amplitude Artifacts in EEG Data.
Proceedings of the IEEE International Conference on Acoustics, 2007


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