LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification

Reuben Dorent, Roya Khajavi, Tagwa Idris, Erik Ziegler, Bhanusupriya Somarouthu, Heather Jacene, Ann LaCasce, Jonathan Deissler, Jan Ehrhardt, Sofija Engelson, Stefan M. Fischer, Yun Gu, Heinz Handels, Satoshi Kasai, Satoshi Kondo, Klaus Maier-Hein, Julia A. Schnabel, Guotai Wang, Litingyu Wang, Tassilo Wald, Guang-Zhong Yang, Hanxiao Zhang, Minghui Zhang, Steve Pieper, Gordon Harris, Ron Kikinis, Tina Kapur

Open source

DOI: 10.59275/j.melba.2025-d482
Published: 2025-01-29
Container: Machine Learning for Biomedical Imaging
Publisher: Machine Learning for Biomedical Imaging
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.59275/j.melba.2025-d482,
  title = {LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification},
  author = {Reuben Dorent and Roya Khajavi and Tagwa Idris and Erik Ziegler and Bhanusupriya Somarouthu and Heather Jacene and Ann LaCasce and Jonathan Deissler and Jan Ehrhardt and Sofija Engelson and Stefan M. Fischer and Yun Gu and Heinz Handels and Satoshi Kasai and Satoshi Kondo and Klaus Maier-Hein and Julia A. Schnabel and Guotai Wang and Litingyu Wang and Tassilo Wald and Guang-Zhong Yang and Hanxiao Zhang and Minghui Zhang and Steve Pieper and Gordon Harris and Ron Kikinis and Tina Kapur},
  year = {2025},
  journal = {Machine Learning for Biomedical Imaging},
  doi = {10.59275/j.melba.2025-d482},
  url = {https://doi.org/10.59275/j.melba.2025-d482}
}

RIS

TY  - JOUR
TI  - LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
AU  - Reuben Dorent
AU  - Roya Khajavi
AU  - Tagwa Idris
AU  - Erik Ziegler
AU  - Bhanusupriya Somarouthu
AU  - Heather Jacene
AU  - Ann LaCasce
AU  - Jonathan Deissler
AU  - Jan Ehrhardt
AU  - Sofija Engelson
AU  - Stefan M. Fischer
AU  - Yun Gu
AU  - Heinz Handels
AU  - Satoshi Kasai
AU  - Satoshi Kondo
AU  - Klaus Maier-Hein
AU  - Julia A. Schnabel
AU  - Guotai Wang
AU  - Litingyu Wang
AU  - Tassilo Wald
AU  - Guang-Zhong Yang
AU  - Hanxiao Zhang
AU  - Minghui Zhang
AU  - Steve Pieper
AU  - Gordon Harris
AU  - Ron Kikinis
AU  - Tina Kapur
PY  - 2025
JO  - Machine Learning for Biomedical Imaging
DO  - 10.59275/j.melba.2025-d482
UR  - https://doi.org/10.59275/j.melba.2025-d482
ER  -

APA

Dorent, R., Khajavi, R., Idris, T., Ziegler, E., Somarouthu, B., Jacene, H., LaCasce, A., Deissler, J., Ehrhardt, J., Engelson, S., Fischer, S. M., Gu, Y., Handels, H., Kasai, S., Kondo, S., Maier-Hein, K., Schnabel, J. A., Wang, G., Wang, L., Wald, T., Yang, G., Zhang, H., Zhang, M., Pieper, S., Harris, G., Kikinis, R., & Kapur, T. (2025). LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification. Machine Learning for Biomedical Imaging. https://doi.org/10.59275/j.melba.2025-d482

Source records

crossref · retrieved 2026-09-26T09:16:58.459Z