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  1. B. Marinelli, M. Kang, M. Martini, J. Zech, J. Titano, S. Cho, A. B. Costa, E. K. Oermann, "Combination of Active Transfer Learning and Natural Language Processing To Improve Liver Volumetry Using Surrogate Metrics with Deep Learning", Radiology Artificial Intelligence, In Press

  2. J. Zech, J. Forde, J. Titano, D. Kaji. A. B. Costa, E. K. Oermann, "Detecting insertion, substitution, and deletion errors in radiology reports using neural sequence-to-sequence models", Annals of Translational Medicine, Accepted

  3. J. Zech, M. A. Badgeley, M. Liu, A. B. Costa, J. Titano, E. K. Oermann, "Variable generalization performance of radiological deep learning models: a cross-sectional study", PLOS Medicine, Accepted (2018)

  4. J. Titano, J. Schefflein, A. B. Costa, M. Pain, A. Su, M. Cai, N. Swinburne, J. Zech, J. Kim, J. B. Bederson, B. Drayer, J. Lehar, S. Cho, E. K. Oermann, "Automated Surveillance of Head CTs for Acute Neurologic Events with Deep Neural Networks", Nature Medicine (2018)

  5. J. Zech, M. Pain, J. Titano, M. Badgeley, J. Schefflein, A. Su, A. B. Costa, J. B. Bederson. J. Lehar, E. K. Oermann, "Natural language based machine learning models for the annotation of clinical radiology reports", Radiology (2018)

  6. R. Feng, J. S. Multani, E. K. Oermann, J. Titano, J. Mascitelli, K. Nicol, B. Skovrlj, M. Pain, J Mocco, J. B. Bederson, A. B. Costa, R. Shrivastava, Quantitative CT ventriculography for Assessment and Monitoring of Hydrocephalus: a Pilot Study and Description of Method in Subarachnoid Hemorrhage (SAH), World Neurosurgery (2017)