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Recent Additions:

N. Hassanpour. "Counterfactual Reasoning in Observational Studies". National Conference on Artificial Intelligence (AAAI), February 2019. PDFview
M. Uhlich, R. Greiner, B. Hoehn, M. Woghiren, I. Diaz, T. Ivanova, A. Murtha. "Improved Brain Tumor Segmentation via Registration-Based Brain ". Forecasting, 1(1), pp 59-69, September 2018. view
E. Guliyev, S. Kalmady, R. Greiner, S. Dursun, A. Ucok. "Neurocognition for the classification of first episode schizophrenia, unaffected family members and healthy controls: A machine learning study". ECNP Congress, pp S428-S429, September 2019. view
M. Cutumisu, C. Vasquez, M. Uhlich, P. Beatty, H. Mehrabani, R. Greiner, R. Djebah, A. Murtha, J. Lewis. "PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks". Journal of Clinical Oncology: Clinical Cancer Informatics, February 2019. view
S. Kalmady, R. Greiner, R. Agrawal, V. Shivakumar, J. Narayanaswamy, M. Brown, A. Greenshaw, S. Dursun, G. Venkatasubramanian. "Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning". Nature Schizophrenia, 5(1), January 2019. view
Y. Djoumbou Feunang, J. Fiamoncini, A. Gil-de-la-Fuente, R. Greiner, C. Manach, D. Wishart. "BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identification". Journal Of Cheminformatics, 11(2), January 2019. view

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