Deep Supervoxel Mapping Learning for Dense Correspondence of Cone-Beam Computed Tomography

Kaichen Nie, Yuru Pei, Diya Sun, Tianmin Xu. Deep Supervoxel Mapping Learning for Dense Correspondence of Cone-Beam Computed Tomography. In Shiqi Yu 0001, Zhaoxiang Zhang, Pong C. Yuen, Junwei Han, Tieniu Tan, Yike Guo, Jianhuang Lai, Jianguo Zhang 0001, editors, Pattern Recognition and Computer Vision - 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part II. Volume 13535 of Lecture Notes in Computer Science, pages 417-427, Springer, 2022. [doi]

@inproceedings{NiePSX22,
  title = {Deep Supervoxel Mapping Learning for Dense Correspondence of Cone-Beam Computed Tomography},
  author = {Kaichen Nie and Yuru Pei and Diya Sun and Tianmin Xu},
  year = {2022},
  doi = {10.1007/978-3-031-18910-4_34},
  url = {https://doi.org/10.1007/978-3-031-18910-4_34},
  researchr = {https://researchr.org/publication/NiePSX22},
  cites = {0},
  citedby = {0},
  pages = {417-427},
  booktitle = {Pattern Recognition and Computer Vision - 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part II},
  editor = {Shiqi Yu 0001 and Zhaoxiang Zhang and Pong C. Yuen and Junwei Han and Tieniu Tan and Yike Guo and Jianhuang Lai and Jianguo Zhang 0001},
  volume = {13535},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-18910-4},
}