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Reference changes · DOI

Author Correction: Methods and open-source toolkit for analyzing and visualizing challenge results

Published notice on a work cited in the Pith corpus. Exact quotes below. No model judges whether any citation was load-bearing.

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Correction Crossref 1 open · 1 total · 0 disputed
DOI
10.1038/s41598-021-82017-6
Notice DOI
10.1038/s41598-021-88636-3
Event date
2021-05-06
Machine twin
JSON

01One-hop citing occurrences

Correction Open
Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO Challenge

ref [2021] · 2506.02976 · notice #9192 · dispute

Raw extraction · bibliography line

Y . Qiu, S. Yamamoto, K. Nakashima, R. Suzuki, K. Iwata, H. Kataoka, Y . Satoh, Describing and lo- calizing multiple changes with transformers, in: Pro- ceedings of the IEEE/CVF International Conference on Computer Vision, 2021, pp. 1971–1980. J. Lu, D. Batra, D. Parikh, S. Lee, Vilbert: Pretrain- ing task-agnostic visiolinguistic representations for vision-and-language tasks, Advances in neural infor- mation processing systems 32 (2019). Y . Zhou, M. A. Chia, S. K. Wagner, M. S. Ayhan, D. J. Williamson, R. R. Struyven, T. Liu, M. Xu, M. G. Lozano, P. Woodward-Court, et al., A foundation model for generalizable disease detection from reti- nal images, Nature 622 (2023) 156–163. R. Strudel, R. Garcia, I. Laptev, C. Schmid, Seg- menter: Transformer for semantic segmentation, in: 36 2021 IEEE/CVF International Conference on Com- puter Vision (ICCV), 2021, pp. 7242–7252. Y . He, A. Carass, S. D. Solomon, S. Saidha, P. A. Cal- abresi, J. L. Prince, Retinal layer parcellation of opti- cal coherence tomography images: Data resource for multiple sclerosis and healthy controls, Data in Brief 22 (2019) 601–604. M. Wiesenfarth, A. Reinke, B. A. Landman, M. Eisen- mann, L. A. Saiz, M. J. Cardo

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