Index



( Journals | Conferences | Reports )


Journals

  • Golmohammadi, M., Harati, A., Lopez, S., Obeid, I. and Picone, J. (2018). Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures. Frontiers in Human Neuroscience, 1-30. (Download)
  • Shah, V., von Weltin, E., Lopez, S., McHugh, J. R., Veloso, L., Golmohammadi, M., Obeid, I., & Picone, J. (2018). The Temple University Hospital Seizure Detection Corpus. Frontiers in Neuroinformatics, 12, 1-6. (Download)
  • Obeid, I., and Picone, J. (2016). The Temple University Hospital EEG Data Corpus. "Frontiers in Neuroscience" , Section Neural Technology, 10, 1-8. (Download)
  • Goodwin, T, and Harabagiu, S. (2016). "Inferring the Interactions of Risk Factors from EHRs." Proceedings of the American Medical Informatics Association (AMIA) Summit on Clinical Research Informatics (CRI), 78-87. (Download)

Conferences

  • Golmohammadi, M., Ziyabari, S., Shah, V., Obeid, I., & Picone, J. (2018). Deep Architectures for Spatio-Temporal Modeling: Automated Seizure Detection in Scalp EEGs. Proceedings of the International Conference on Machine Learning and Applications (ICMLA) (pp. 16). Orlando, Florida, USA. (Download)
  • Picone, J., Obeid, I., & Harabagiu, S. (2018). Automated Cohort Retrieval from EEG Medical Records. 26th Conference on Intelligent Systems for Molecular Biology (p. 1). Chicago, Illinois, USA. (Download)
  • Lopez, S., Gross, A., Yang, S., Golmohammadi, M., Obeid, I., & Picone, J. (2016). "An Analysis of Two Common Reference Points for EEGs.", In IEEE Signal Processing in Medicine and Biology Symposium (pp. 14), Philadelphia, Pennsylvania, USA. (Download)
  • Ward, C., Obeid, I. and Picone, J. (2016). Applications of UBMs and I-Vectors in EEG Subject Verification. Proceedings of the 38th Annual International Conference of the Engineering in Medicine and Biology Conference (p. 4). Orlando, Florida, USA. (Download)
  • Yang, S., López, S., Golmohammadi, M., Obeid, I., & Picone, J. (2016). "Semi-Automated Annotation of Signal Events in Clinical EEG Data." In IEEE Signal Processing in Medicine and Biology Symposium (pp. 1-4). Philadelphia, Pennsylvania, USA. (Download)
  • Guimaraes Moura, A., Lopez, S., Obeid, I., & Picone, J. (2015). "A Comparison of Feature Extraction Methods for EEG Signals." In IEEE Signal Processing in Medicine and Biology Symposium (p. 1) Philadelphia, Pennsylvania, USA. (Download)
  • Picone, J., Obeid, I., & Harabagiu, S. (2015). "Automatic Discovery and Processing of EEG Cohorts from Clinical Records.", In Big Data to Knowledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA. (Download)
  • Golmohammadi, M., Lopez, S., Obeid, I., & Picone, J. (2015). "EEG Event Detection on the TUH EEG Corpus.", In Big Data to Knowledge All Hands Grantee Meeting (p. 1), Bethesda, Maryland, USA. (Download)
  • Harabagiu, S., Goodwin, T., and Maldonado, R. (2015). "Generating and Using a Qualified Medical Knowledge Graph for Patient Cohort Retrieval from Big Clinical Electroencephalography (EEG) Data.", In Big Data to Knowledge All Hands Grantee Meeting (p. 1). Bethesda, Maryland, USA. (Download)
  • Lopez, S., Suarez, G., Jungries, D., Obeid, I., & Picone, J. (2015). "Automated Identification of Abnormal EEGs." In IEEE Signal Processing in Medicine and Biology Symposium (pp. 14), Philadelphia, Pennsylvania, USA. (Download)
  • Harati, A., Golmohammadi, M., Lopez, S., Obeid, I., & Picone, J. (2015) "Improved EEG Event Classification Using Differential Energy.", In Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (pp. 14), Philadelphia, Pennsylvania, USA. (Download)
  • Harati, A., Lopez, S., Obeid, I., Jacobson, M., Tobochnik, S., & Picone, J. (2014). THE TUH EEG CORPUS: A Big Data Resource for Automated EEG Interpretation. Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (pp. 1-5). Philadelphia, Pennsylvania, USA. (Download)
  • Harati, A., Choi, S. I., Tabrizi, M., Obeid, I., Jacobson, M., & Picone, J. (2013). The Temple University Hospital EEG Corpus. Proceedings of the IEEE Global Conference on Signal and Information Processing. (pp. 29-32). Austin, Texas, USA. (Download)

Reports

  • Obeid, I., Picone, J., & Harabagiu, S. (2019). Automatic Discovery and Processing of EEG Cohorts from Clinical Records. (Download)