Parathanath, A. J., & A, M. (2025). CBMNet: a dual-attention enhanced Conv Ne Xt model for accurate G.V. Black type I–III classification in intraoral periapical radiographs. Scientific Reports, 15(1), 1-29. https://doi.org/10.1038/s41598-025-22975-3
ISO-690 (author-date, English)PARATHANATH, Aneetta Joy und A, Manimaran, 2025. CBMNet: a dual-attention enhanced Conv Ne Xt model for accurate G.V. Black type I–III classification in intraoral periapical radiographs. Scientific Reports. 10 November 2025. Vol. 15, no. 1, p. 1-29. DOI 10.1038/s41598-025-22975-3.
Modern Language Association 9th editionParathanath, A. J., und M. A. „CBMNet: A Dual-Attention Enhanced Conv Ne Xt Model for Accurate G.V. Black Type I–III Classification in Intraoral Periapical Radiographs.“. Scientific Reports, Bd. 15, Nr. 1, November 2025, S. 1-29, https://doi.org/10.1038/s41598-025-22975-3.
Mohr Siebeck - Recht (Deutsch - Österreich)Parathanath, Aneetta Joy/A, Manimaran: CBMNet: a dual-attention enhanced Conv Ne Xt model for accurate G.V. Black type I–III classification in intraoral periapical radiographs., Scientific Reports 2025, 1-29.
Emerald - HarvardParathanath, A.J. und A, M. (2025), „CBMNet: a dual-attention enhanced Conv Ne Xt model for accurate G.V. Black type I–III classification in intraoral periapical radiographs.“, Scientific Reports, Vol. 15 No. 1, S. 1-29.