Recoverable Identifier
advisory
doi_compliance
recoverable_identifier
DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/978-1-4612-0919-5_26.Ronneberger) was visible in the surrounding text but could not be confirmed against doi.org as printed.
Paper page Integrity report arXiv Try DOI
Evidence text
URL https://doi.org/10.1007/978-1- 4612-0919-5_26. Ronneberger, O., Fischer, P., and Brox, T. U-Net: Convolu- tional networks for biomedical image segmentation. In Navab, N., Hornegger, J., Wells, W. M., and Frangi, A. F. (eds.),Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, volume 9351 ofLecture Notes in Computer Science, pp. 234–241. Springer Inter- national Publishing, 2015. URL https://doi.org/ 10.1007/978-3-319-24574-4_28. Roosta-Khorasani, F. and Ascher, U. Improved bounds on sample size for implicit matrix trace estimators. Foundations of Computational Mathematics, 15:1187– 1212, September 2015. URL https://doi.org/10. 1007/s10208-014-9220-1. Sabour, A., Fidler, S., and Kreis, K. Align your flow: Scaling continuous-time flow map distillation. In Belgrave, D., Zhang, C., Lin, H., Pascanu, R., Koniusz, P., Ghassemi, M., and Chen, N. (eds.), Advances in Neural Information Processing Systems, volume 38, pp. 146459–146512. Curran Associates, Inc.,
Evidence payload
{
"printed_excerpt": "URL https://doi.org/10.1007/978-1- 4612-0919-5_26. Ronneberger, O., Fischer, P., and Brox, T. U-Net: Convolu- tional networks for biomedical image segmentation. In Navab, N., Hornegger, J., Wells, W. M., and Frangi, A. F. (eds.),Medical Ima",
"reconstructed_doi": "10.1007/978-1-4612-0919-5_26.Ronneberger",
"ref_index": 21,
"resolved_title": null,
"verdict_class": "incontrovertible"
}