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Deep Learning Architectures for Solving Inverse Problems in Medical Imaging Using Variational Regularization
Prof. Elena M. Rostova; Dr. Kuan-Yin Chen — SCI Journal of Mathematical Sciences and Computational Methods (2026)
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APA APA 7th
Rostova, P. E. M., & Chen, D. K. (2026). Deep Learning Architectures for Solving Inverse Problems in Medical Imaging Using Variational Regularization. SCI Journal of Mathematical Sciences and Computational Methods, 1(1), 37-42.
MLA MLA 9th
Rostova, Prof. Elena M., and Dr. Kuan-Yin Chen. "Deep Learning Architectures for Solving Inverse Problems in Medical Imaging Using Variational Regularization." SCI Journal of Mathematical Sciences and Computational Methods, vol. 1, no. 1, 2026, pp. 37-42.
CHI Chicago
Rostova, Prof. Elena M., and Dr. Kuan-Yin Chen. "Deep Learning Architectures for Solving Inverse Problems in Medical Imaging Using Variational Regularization." SCI Journal of Mathematical Sciences and Computational Methods 1, no. 1 (2026): 37-42.
HAR Harvard
Rostova, P. E. M. & Chen, D. K. (2026) 'Deep Learning Architectures for Solving Inverse Problems in Medical Imaging Using Variational Regularization', SCI Journal of Mathematical Sciences and Computational Methods, 1(1), pp. 37-42.
IEEE IEEE
P. E. M. Rostova, and D. K. Chen, "Deep Learning Architectures for Solving Inverse Problems in Medical Imaging Using Variational Regularization," SCI Journal of Mathematical Sciences and Computational Methods, vol. 1, no. 1, pp. 37-42, 2026.
VAN Vancouver
Rostova PEM, Chen DK. Deep Learning Architectures for Solving Inverse Problems in Medical Imaging Using Variational Regularization. SCI Journal of Mathematical Sciences and Computational Methods. 2026;1(1):37-42.
BIB BibTeX
@article{prof2026,
  title     = {Deep Learning Architectures for Solving Inverse Problems in Medical Imaging Using Variational Regularization},
  author    = {Prof. Elena M. Rostova and Dr. Kuan-Yin Chen},
  journal   = {SCI Journal of Mathematical Sciences and Computational Methods},
  volume    = {1},
  number    = {1},
  pages     = {37-42},
  year      = {2026},
}