PointSenseNet: A Hierarchical Point-Cloud-Based Reconstruction Framework with Application to Localized Inverse Electrocardiographic Mapping.
- DOI
- 10.1109/tbme.2026.3734484
- Published
- 2026 Sep 16
- Container
- IEEE transactions on bio-medical engineering
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 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.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- 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/tbme.2026.3734484,
title = {PointSenseNet: A Hierarchical Point-Cloud-Based Reconstruction Framework with Application to Localized Inverse Electrocardiographic Mapping.},
author = {Wu Y and Seno H and Wang Y and Seki Y and Yamazaki M and Sakuma I and Tomii N},
year = {2026},
journal = {IEEE transactions on bio-medical engineering},
doi = {10.1109/tbme.2026.3734484},
url = {https://doi.org/10.1109/tbme.2026.3734484}
}RIS
TY - JOUR TI - PointSenseNet: A Hierarchical Point-Cloud-Based Reconstruction Framework with Application to Localized Inverse Electrocardiographic Mapping. AU - Wu Y AU - Seno H AU - Wang Y AU - Seki Y AU - Yamazaki M AU - Sakuma I AU - Tomii N PY - 2026 JO - IEEE transactions on bio-medical engineering DO - 10.1109/tbme.2026.3734484 UR - https://doi.org/10.1109/tbme.2026.3734484 ER -
APA
Y, W., H, S., Y, W., Y, S., M, Y., I, S., & N, T. (2026). PointSenseNet: A Hierarchical Point-Cloud-Based Reconstruction Framework with Application to Localized Inverse Electrocardiographic Mapping.. IEEE transactions on bio-medical engineering. https://doi.org/10.1109/tbme.2026.3734484
Source records
- pubmed · retrieved 2026-09-25T00:55:48.611Z