SlideMamba: entropy-based adaptive fusion of GNN and Mamba for enhanced representation learning in digital pathology

Shakib Khan, Fariba Dambandkhameneh, Nazim Shaikh, Yao Nie, Raghavan Venugopal, Xiao Li

Open source

DOI: 10.1038/s41598-025-34367-8
Published: 2026-01-04
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
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:10.1038/s41598-025-34367-8,
  title = {SlideMamba: entropy-based adaptive fusion of GNN and Mamba for enhanced representation learning in digital pathology},
  author = {Shakib Khan and Fariba Dambandkhameneh and Nazim Shaikh and Yao Nie and Raghavan Venugopal and Xiao Li},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-34367-8},
  url = {https://doi.org/10.1038/s41598-025-34367-8}
}

RIS

TY  - JOUR
TI  - SlideMamba: entropy-based adaptive fusion of GNN and Mamba for enhanced representation learning in digital pathology
AU  - Shakib Khan
AU  - Fariba Dambandkhameneh
AU  - Nazim Shaikh
AU  - Yao Nie
AU  - Raghavan Venugopal
AU  - Xiao Li
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-025-34367-8
UR  - https://doi.org/10.1038/s41598-025-34367-8
ER  -

APA

Khan, S., Dambandkhameneh, F., Shaikh, N., Nie, Y., Venugopal, R., & Li, X. (2026). SlideMamba: entropy-based adaptive fusion of GNN and Mamba for enhanced representation learning in digital pathology. Scientific Reports. https://doi.org/10.1038/s41598-025-34367-8

Source records

crossref · retrieved 2026-11-10T12:14:39.875Z