Explain COVIDNet: Explainable AI for Transparent and Reliable X-ray Screening

Yogita Hande, Ashwini V. Zadgaonkar, Rupali Vairagade, Anita Gunjal

Open source

DOI: 10.1053/j.sult.2026.07.001
Published: 2026-10
Container: Seminars in Ultrasound, CT and MRI
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1053/j.sult.2026.07.001,
  title = {Explain COVIDNet: Explainable AI for Transparent and Reliable X-ray Screening},
  author = {Yogita Hande and Ashwini V. Zadgaonkar and Rupali Vairagade and Anita Gunjal},
  year = {2026},
  journal = {Seminars in Ultrasound, CT and MRI},
  doi = {10.1053/j.sult.2026.07.001},
  url = {https://doi.org/10.1053/j.sult.2026.07.001}
}

RIS

TY  - JOUR
TI  - Explain COVIDNet: Explainable AI for Transparent and Reliable X-ray Screening
AU  - Yogita Hande
AU  - Ashwini V. Zadgaonkar
AU  - Rupali Vairagade
AU  - Anita Gunjal
PY  - 2026
JO  - Seminars in Ultrasound, CT and MRI
DO  - 10.1053/j.sult.2026.07.001
UR  - https://doi.org/10.1053/j.sult.2026.07.001
ER  -

APA

Hande, Y., Zadgaonkar, A. V., Vairagade, R., & Gunjal, A. (2026). Explain COVIDNet: Explainable AI for Transparent and Reliable X-ray Screening. Seminars in Ultrasound, CT and MRI. https://doi.org/10.1053/j.sult.2026.07.001

Source records

crossref · retrieved 2026-09-25T23:48:34.786Z