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Cite This Article

Optimized Deep Learning-Based Image Reconstruction for Sparse-View Computed Tomography using a Hybrid Attention Mechanism
Prof. Amina Al-Mansoor; Dr. Henrik Lindqvist — SciMatic Journal of Electrical and Electronics Engineering (2026)
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APA APA 7th
Al-Mansoor, A., & Lindqvist, H. (2026). Optimized Deep Learning-Based Image Reconstruction for Sparse-View Computed Tomography using a Hybrid Attention Mechanism. SciMatic Journal of Electrical and Electronics Engineering, 1(1), 56-62.
MLA MLA 9th
Al-Mansoor, Amina, and Henrik Lindqvist. "Optimized Deep Learning-Based Image Reconstruction for Sparse-View Computed Tomography using a Hybrid Attention Mechanism." SciMatic Journal of Electrical and Electronics Engineering, vol. 1, no. 1, 2026, pp. 56-62.
CHI Chicago
Al-Mansoor, Amina, and Henrik Lindqvist. "Optimized Deep Learning-Based Image Reconstruction for Sparse-View Computed Tomography using a Hybrid Attention Mechanism." SciMatic Journal of Electrical and Electronics Engineering 1, no. 1 (2026): 56-62.
HAR Harvard
Al-Mansoor, A. & Lindqvist, H. (2026) 'Optimized Deep Learning-Based Image Reconstruction for Sparse-View Computed Tomography using a Hybrid Attention Mechanism', SciMatic Journal of Electrical and Electronics Engineering, 1(1), pp. 56-62.
IEEE IEEE
A. Al-Mansoor and H. Lindqvist, "Optimized Deep Learning-Based Image Reconstruction for Sparse-View Computed Tomography using a Hybrid Attention Mechanism," SciMatic Journal of Electrical and Electronics Engineering, vol. 1, no. 1, pp. 56-62, 2026.
VAN Vancouver
Al-Mansoor A, Lindqvist H. Optimized Deep Learning-Based Image Reconstruction for Sparse-View Computed Tomography using a Hybrid Attention Mechanism. SciMatic Journal of Electrical and Electronics Engineering. 2026;1(1):56-62.
BIB BibTeX 
@article{almansoor2026,
  title     = {Optimized Deep Learning-Based Image Reconstruction for Sparse-View Computed Tomography using a Hybrid Attention Mechanism},
  author    = {Al-Mansoor, Amina and Lindqvist, Henrik},
  journal   = {SciMatic Journal of Electrical and Electronics Engineering},
  volume    = {1},
  number    = {1},
  pages     = {56-62},
  year      = {2026},
}