Using Training Samples as Transitive Information Bridges in Predicted 4D MRI

Gino Gulamhussene, Oleksii Bashkanov, Jazan Omari, Maciej Pech, Christian Hansen 0001, Marko Rak. Using Training Samples as Transitive Information Bridges in Predicted 4D MRI. In Zhiyun Xue, Sameer K. Antani, Ghada Zamzmi, Feng Yang, Sivaramakrishnan Rajaraman, Sharon Xiaolei Huang, Marius George Linguraru, Zhaohui Liang, editors, Medical Image Learning with Limited and Noisy Data - Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Volume 14307 of Lecture Notes in Computer Science, pages 237-245, Springer, 2023. [doi]

@inproceedings{GulamhusseneBOPHR23,
  title = {Using Training Samples as Transitive Information Bridges in Predicted 4D MRI},
  author = {Gino Gulamhussene and Oleksii Bashkanov and Jazan Omari and Maciej Pech and Christian Hansen 0001 and Marko Rak},
  year = {2023},
  doi = {10.1007/978-3-031-44917-8_23},
  url = {https://doi.org/10.1007/978-3-031-44917-8_23},
  researchr = {https://researchr.org/publication/GulamhusseneBOPHR23},
  cites = {0},
  citedby = {0},
  pages = {237-245},
  booktitle = {Medical Image Learning with Limited and Noisy Data - Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings},
  editor = {Zhiyun Xue and Sameer K. Antani and Ghada Zamzmi and Feng Yang and Sivaramakrishnan Rajaraman and Sharon Xiaolei Huang and Marius George Linguraru and Zhaohui Liang},
  volume = {14307},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-44917-8},
}