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., 2015. TensorFlow: Large-scale machine learning on heterogeneous systems. https://www.tensorflow.org/.
2. Automatic segmentation of head structures on fetal MRI;Anquez,2009
3. Sononet: real-Time detection and localisation of fetal standard scan planes in freehand ultrasound;Baumgartner;IEEE Trans Med Imaging,2017
4. Automatic segmentation of the cerebellum of fetuses on 3D ultrasound images, using a 3d point distribution model;Becker,2010
5. Automatic segmentation of the cerebellum of fetuses on 3d ultrasound images, using a 3d point distribution model;Becker,2010