Acknowledgement
본 연구는 2022년도 교육부의 재원으로 한국연구재단의 지원을 받아 수행된 기본연구(2022R1 F1A1075204), 4단계 두뇌한국21 사업(4단계 BK21사업) 및 지자체-대학 협력기반 지역혁신사업(2022RIS-004), 중소기업벤처부의 재원으로 수행된 2021년도 창업성장기술개발사업(S3228660)의 연구결과로 수행되었음.
References
- A. G. Farman, Panoramic Corporation (Eds.), "Panoramic radiology: Seminars on maxillofacial imaging and interpretation," Springer, Berlin; New York, 2007. OCLC: ocn123114795.
- R. Izzetti, M. Nisi, G. Aringhieri, L. Crocetti, F. Graziani, and C. Nardi, "Basic knowledge and new advances in panoramic radiography imaging techniques: A narrative review on what dentists and radiologists should know," Applied Sciences, Vol.11, No.17, pp.7858, 2021.
- S. C. White and M. J. Pharoah (Eds.), "Oral radiology: Principles and interpretation," edition 7. ed., Elsevier, St. Louis, Missouri, 2014. OCLC: 862758150.
- R. Jacobs, B. Salmon, M. Codari, B. Hassan, and M. M. Bornstein, "Cone beam computed tomography in implant dentistry: Recommendations for clinical use," BMC Oral Health, Vol.18, pp.88, 2018.
- A. Al-Okshi, M. Nilsson, A. Petersson, M. Wiese, and C. Lindh, "Using GafChromic film to estimate the effective dose from dental cone beam CT and panoramic radiography," Dentomaxillofacial Radiology, Vol.42, No.추가, pp.20120343, 2013.
- Y. Liang et al., "OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray," 26th International Conference on Intelligent User Interfaces, Association for Computing Machinery, New York, NY, USA, pp.553-563, 2021.
- I. Goodfellow et al., "Generative adversarial nets, in Advances in Neural Information Processing Systems (NIPS)," Montreal, Canada, pp.2672-2680, 2014.
- B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng, "NeRF: Representing scenes as neural radiance fields for view synthesis," in: A. Vedaldi, H. Bischof, T. Brox, J.- M. Frahm (Eds.), Computer Vision - ECCV 2020, Springer International Publishing, Cham, pp.405-421, 2020.
- Y. Liang, W. Song, J. Yang, L. Qiu, K. Wang, and L. He, "X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph," in: A.L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M.A. Zuluaga, S.K. Zhou, D. Racoceanu, L. Joskowicz (Eds.), Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, Springer International Publishing, Cham, pp.400-409, 2020.
- W. Song, Y. Liang, J. Yang, K. Wang, and L. He, "Oral-3D: Reconstructing the 3D structure of oral cavity from panoramic X-ray," Proceedings of the AAAI Conference on Artificial Intelligence, Vol.35, No.1, pp.566-573, 2021.
- W. Song, H. Zheng, D. Tu, C. Liang, and L. He, "Oral-3Dv2: 3D oral reconstruction from panoramic x-ray imaging with implicit neural representation," arXiv preprint arXiv: 2303.12123, 2023.
- S. Park, S. Kim, D. Kwon, Y. Jang, I.-S. Song, and S. Baek, "NeBLa: Neural beer-lambert for 3D reconstruction of oral structures from panoramic radiographs," arXiv e-prints, arXiv-2304, 2023.
- N. Burgos et al., "Iterative framework for the joint segmentation and CT synthesis of MR images: Application to MRI-only radiotherapy treatment planning," Physics in Medicine & Biology, Vol.62, No.11, pp.4237-4253, 2017.
- Y. Huang, L. Shao, and A. F. Frangi, "Simultaneous superresolution and cross-modality synthesis of 3d medical images using weakly-supervised joint convolutional sparse coding," In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu, HI: IEEE, pp.5787-5796, 2017.
- P. Henzler, V. Rasche, T. Ropinski, and T. Ritschel, "Single-image tomography: 3d volumes from 2d cranial x-rays," Computer Graphics Forum, Vol.37, No.2, pp.377-388, 2018.
- X. Ying, H. Guo, K. Ma, J. Wu, Z. Weng, and Y. Zheng, "X2CT-GAN: reconstructing CT from biplanar X-rays with generative adversarial networks," In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.10619-10628, 2019.