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Physiol., vol.34, no.7, pp.647-651, 2007. 10.1111\/j.1440-1681.2007.04654.x","DOI":"10.1111\/j.1440-1681.2007.04654.x"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] T.Z. Naqvi and M.S. Lee, \u201cCarotid intima-media thickness and plaque in cardiovascular risk assessment,\u201d JACC: Cardiovasc Imaging, vol.10, no.10, pp.1025-1038, 2014. 10.1016\/j.jcmg.2013.11.014","DOI":"10.1016\/j.jcmg.2013.11.014"},{"key":"5","unstructured":"[5] T. Nasu, K. Kawachi, M. Muneyasu, K. Chamnongthai, A. Asano, K. Uchida, Y. Ishioka, N. Yoshinari, and A. Taguchi, \u201cDetection of calcification region in dental panoramic radiographs using snakes,\u201d Proc. 2017 International Workshop on Smart Info-Media Systems in Asia (SISA), Dazaifu, Fukuoka, Sept. 2017, pp.110-113, 2017."},{"key":"6","unstructured":"[6] Y. Yamazaki, M. Muneyasu, S. Yoshida, A. Asano, K. Uchida, Y. Ishioka, N. Yoshinari, and A. Taguchi, \u201cImprovement of detection accuracy of calcified area from dental panoramic radiograph using deep learning,\u201d IEICE Technical Report, SIS2019-24, 2019."},{"key":"7","unstructured":"[7] T. Murano, M. Muneyasu, S. Yoshida, K. Chamnongthai, A. Asano, K. Uchida, N. Dewake, Y. Ishioka, and N. Yoshinari, \u201cDetection of calcification regions from dental panoramic radiographs based on semantic segmentation using deep learning,\u201d Proc. 2021 International Workshop on Smart Info-Media Systems in Asia (SISA), online, Sept. 2021, pp.122-127, 2021."},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] T. Murano, M. Muneyasu, S. Yoshida, K. Chamnongthai, A. Asano, and K. Uchida, \u201cNew method of detecting calcification regions in dental panoramic radiographs based on U-PraNet,\u201d Proc. 2021 20th International Symposium on Communication and Information Technologies (ISCIT), Tottori, Japan, Oct. 2021, W1-3, pp.11-14, 2021. 10.1109\/ISCIT52804.2021.9590604","DOI":"10.1109\/ISCIT52804.2021.9590604"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] M. Ishii and A. Sato \u201cTraining deep neural networks with adversarially augmented features for small-scale training datasets,\u201d Proc. 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, July 2019, pp.1-8, 2019. 10.1109\/ijcnn.2019.8852250","DOI":"10.1109\/IJCNN.2019.8852250"},{"key":"10","unstructured":"[10] C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus, \u201cIntriguing properties of neural networks,\u201d arXiv:1312.6199, 2013. 10.48550\/arXiv.1312.6199"},{"key":"11","unstructured":"[11] I.J. Goodfellow, J. 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Uchida, \u201cApplication of adversarial training in detection of calcification regions from dental panoramic radiographs,\u201d Proc. 2023 International Workshop on Smart Info-Media Systems in Asia (SISA), Online, Aug.-Sept. 2023, pp.7-12, 2023. 10.34385\/proc.77.RS1-2","DOI":"10.34385\/proc.77.RS1-2"},{"key":"14","unstructured":"[14] T. Miyato, S. Maeda, M. Koyama, K. Nakae, and S. Ishii, \u201cDistributional smoothing with virtual adversarial training,\u201d Proc. 4th International Conference on Learning Representation (ICLR), San Juan, Puerto Rico, May 2016."},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] P. Wang, J. Peng, M. Pedersoli, Y. Zhou, C, Zhang, and C. Desrosiers \u201cContext-aware virtual adversarial training for anatomically-plausible segmentation,\u201d Proc. 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, Sept.-Oct. 2021, pp.304-314, 2021. 10.1007\/978-3-030-87193-2_29","DOI":"10.1007\/978-3-030-87193-2_29"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] D.-P. Fan, G.-P. Ji, T. Zhou, G. Chen, H. Fu, J. Shen, and L. Shao, \u201cPraNet: Parallel reverse attention network for polyp segmentation,\u201d arXiv:2006.11392, 2020. 10.48550\/arXiv.2006.11392","DOI":"10.1007\/978-3-030-59725-2_26"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] N. Baker, H. Lu, G. Erlikhman, and P. Kellman, \u201cDeep convolutional networks do not classify based on global object shape,\u201d PLoS Comput. Biol., vol.14, no.12, e1006613, 2018. 10.1371\/journal.pcbi.1006613","DOI":"10.1371\/journal.pcbi.1006613"},{"key":"18","unstructured":"[18] D.P. 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