Deep Learning for Brain MRI Artifact Correction: Current Challenges and Future Directions.

Yu J, Mdletshe S, Abbasi H, Kwon E, Holdsworth S, Wang A

DOI: 10.3390/bioengineering13060699
Published: 2026 Jun 18
Container: Bioengineering (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/bioengineering13060699,
  title = {Deep Learning for Brain MRI Artifact Correction: Current Challenges and Future Directions.},
  author = {Yu J and Mdletshe S and Abbasi H and Kwon E and Holdsworth S and Wang A},
  year = {2026},
  journal = {Bioengineering (Basel, Switzerland)},
  doi = {10.3390/bioengineering13060699},
  url = {https://doi.org/10.3390/bioengineering13060699}
}

RIS

TY  - JOUR
TI  - Deep Learning for Brain MRI Artifact Correction: Current Challenges and Future Directions.
AU  - Yu J
AU  - Mdletshe S
AU  - Abbasi H
AU  - Kwon E
AU  - Holdsworth S
AU  - Wang A
PY  - 2026
JO  - Bioengineering (Basel, Switzerland)
DO  - 10.3390/bioengineering13060699
UR  - https://doi.org/10.3390/bioengineering13060699
ER  -

APA

J, Y., S, M., H, A., E, K., S, H., & A, W. (2026). Deep Learning for Brain MRI Artifact Correction: Current Challenges and Future Directions.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering13060699

Source records

pubmed · retrieved 2026-09-26T23:29:55.377Z