ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data.
- DOI
- 10.1109/tetci.2021.3136587
- Published
- 2023 Apr
- Container
- IEEE transactions on emerging topics in computational intelligence
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- 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.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1109/tetci.2021.3136587,
title = {ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data.},
author = {Liu H and Grothe MJ and Rashid T and Labrador-Espinosa MA and Toledo JB and Habes M},
year = {2023},
journal = {IEEE transactions on emerging topics in computational intelligence},
doi = {10.1109/tetci.2021.3136587},
url = {https://doi.org/10.1109/tetci.2021.3136587}
}RIS
TY - JOUR TI - ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data. AU - Liu H AU - Grothe MJ AU - Rashid T AU - Labrador-Espinosa MA AU - Toledo JB AU - Habes M PY - 2023 JO - IEEE transactions on emerging topics in computational intelligence DO - 10.1109/tetci.2021.3136587 UR - https://doi.org/10.1109/tetci.2021.3136587 ER -
APA
H, L., MJ, G., T, R., MA, L., JB, T., & M, H. (2023). ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data.. IEEE transactions on emerging topics in computational intelligence. https://doi.org/10.1109/tetci.2021.3136587
Source records
- pubmed · retrieved 2026-09-25T13:18:17.387Z
- europe-pmc · retrieved 2026-09-25T13:18:17.399Z