CSRCT: Generalized sparse regularization and convolutional sparse representation for low-dose CT reconstruction

Jinxin Luo, Tao Wang, Tingyue Liu, Junjing Li, Pengcheng Zhang, Yi Liu

Open source

DOI: 10.1177/08953996261484633
Published: 2026-09-08
Container: Journal of X-Ray Science and Technology
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/08953996261484633,
  title = {CSRCT: Generalized sparse regularization and convolutional sparse representation for low-dose CT reconstruction},
  author = {Jinxin Luo and Tao Wang and Tingyue Liu and Junjing Li and Pengcheng Zhang and Yi Liu},
  year = {2026},
  journal = {Journal of X-Ray Science and Technology},
  doi = {10.1177/08953996261484633},
  url = {https://doi.org/10.1177/08953996261484633}
}

RIS

TY  - JOUR
TI  - CSRCT: Generalized sparse regularization and convolutional sparse representation for low-dose CT reconstruction
AU  - Jinxin Luo
AU  - Tao Wang
AU  - Tingyue Liu
AU  - Junjing Li
AU  - Pengcheng Zhang
AU  - Yi Liu
PY  - 2026
JO  - Journal of X-Ray Science and Technology
DO  - 10.1177/08953996261484633
UR  - https://doi.org/10.1177/08953996261484633
ER  -

APA

Luo, J., Wang, T., Liu, T., Li, J., Zhang, P., & Liu, Y. (2026). CSRCT: Generalized sparse regularization and convolutional sparse representation for low-dose CT reconstruction. Journal of X-Ray Science and Technology. https://doi.org/10.1177/08953996261484633

Source records

crossref · retrieved 2026-11-09T13:34:20.668Z