1. Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Mané, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Viégas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., Zheng, X.: TensorFlow: large-scale machine learning on heterogeneous systems (2015).
http://tensorflow.org/
, software available from tensorflow.org
2. Benamer, T.S., Patterson, J., Grosset, D.G., Booij, J., Bruin, K., Royen, E., Speelman, J.D., Horstink, M.H., Sips, H.J., Dierckx, R.A., Versijpt, J., Decoo, D., Linden, C., Hadley, D.M., Doder, M., Lees, A.J., Costa, D.C., Gacinovic, S., Oertel, W.H., Pogarell, O., Hoeffken, H., Joseph, K., Tatsch, K., Schwarz, J., Ries, V.: Accurate differentiation of Parkinsonism and essential tremor using visual assessment of [123I]-FP-CIT SPECT imaging: the [123I]-FP-CIT study group. Mov. Disord.: Official J. Mov. Disord. Soc. 15(3), 503–510 (2000). PMID: 10830416
3. Booij, J., Habraken, J.B., Bergmans, P., Tissingh, G., Winogrodzka, A., Wolters, E.C., Janssen, A.G., Stoof, J.C., Royen, E.A.: Imaging of dopamine transporters with iodine-123-FP-CIT SPECT in healthy controls and patients with Parkinson’s disease. J. Nucl. Med. 39(11), 1879–1884 (1998)
4. Ciresan, D.C., Meier, U., Masci, J., Maria Gambardella, L., Schmidhuber, J.: Flexible, high performance convolutional neural networks for image classification. In: IJCAI Proceedings-International Joint Conference on Artificial Intelligence, Barcelona, Spain, vol. 22, p. 1237 (2011)
5. Eckert, T., Edwards, C.: The application of network mapping in differential diagnosis of Parkinsonian disorders. Clin. Neurosci. Res. 6(6), 359–366 (2007).
http://www.sciencedirect.com/science/article/pii/S1566277207000023
. Neural Networks in the Imaging of Neuropsychiatric Diseases