Cited by 42Artificial Intelligence in HealthcareCongenital Heart Disease StudiesArtificial Intelligence in Healthcare and Education

RLDS: An explainable residual learning diagnosis system for fetal congenital heart disease

Qiao, Sibo, Pang, Shanchen, Luo, Gang, Pan, Silin, Yu, Zengchen, Chen, Taotao, Lv, Zhihan·2022·Future Generation Computer Systems

Integrity signals

Registry

Crossref · 10.1016/j.future.2021.10.001

Cites

65 of 65 references verified0 citation errors · 0 not checkable

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Cites

1 retracted

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1 of the 66 references couldn’t be matched to a known paper.

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Authors
Qiao, S., Pang, S., Luo, G., Pan, S., Yu, Z., Chen, T., & Lv, Z.
Affiliations
  • China University of Petroleum, East China (CN)
  • Qingdao Women and Children's Hospital (CN)
  • Qingdao University (CN)
Corresponding author
  • Pang, Shanchen
  • Pan, Silin
Venue
Future Generation Computer Systems
Publisher
Elsevier BV
Published
2022-03
Volume
128
Pages
205-218
ISSN
0167-739X (ISSN-L)
OpenAlex
W3206139678
Cited by
42
References
66
Citations by year
2026: 7 · 2025: 5 · 2024: 6 · 2023: 8 · 2022: 16
FWCI
6.54
Type
journal article
Language
en
Open access
closed
Locations
Future Generation Computer Systems (publishedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Health Sciences › Medicine › Epidemiology › Congenital Heart Disease Studies
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
fetal congenital heart disease, prenatal diagnosis, fetal echocardiography, residual learning, explainable AI, feature visualization, convolutional neural networks, fetal cardiac anatomy, diagnostic accuracy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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