Cited by 100Medical Image Segmentation TechniquesAdvanced Image Fusion TechniquesArtificial Intelligence in Healthcare and Education

Adversarial Image Registration with Application for MR and TRUS Image Fusion

Open access
Yan, Pingkun, Xu, Sheng, Rastinehad, Ardeshir R., Wood, Brad J.·2018·Lecture Notes in Computer Science

Integrity signals

Registry

Crossref · 10.1007/978-3-030-00919-9_23

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

1 of the 11 references couldn’t be matched to a known paper.

Cited by

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Authors
Yan, P., Xu, S., Rastinehad, A. R., & Wood, B. J.
Affiliations
  • Rensselaer Polytechnic Institute (US)
  • National Institutes of Health (US)
  • Icahn School of Medicine at Mount Sinai (US)
Corresponding author
Yan, Pingkun
Venue
Lecture Notes in Computer Science
Published
2018
Volume
11046
Pages
197-204
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2963971125
Cited by
100
References
11
Citations by year
2026: 1 · 2025: 3 · 2024: 10 · 2023: 22 · 2022: 13 · 2021: 26 · 2020: 18 · 2019: 5 · 2018: 2
FWCI
3.84
Type
conference paper
Language
en
Open access
Locations
  • Lecture notes in computer science (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
  • Lecture notes in computer science
Funders
Nvidia
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Physical Sciences › Engineering › Media Technology › Advanced Image Fusion Techniques
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
multimodal medical image fusion, prostate biopsy, transrectal ultrasound, magnetic resonance imaging, generative adversarial networks

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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