The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Image reconstruction from incomplete and noisy data
Overview
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Citations
Cites
Information theory and statistical mechanics
Jaynes, E. T. (1957) · Physical Review · doi:10.1103/physrev.106.620 · Cited by 12,931
Information Theory and Statistical Mechanics. II
Jaynes, E. T. (1957) · Physical Review · doi:10.1103/physrev.108.171 · Cited by 3,253
Restoring with Maximum Likelihood and Maximum Entropy*
Frieden, B. R. (1972) · Journal of the Optical Society of America · doi:10.1364/josa.62.000511 · Cited by 638
Parker, R. L. (1977) · Annual Review of Earth and Planetary Sciences · doi:10.1146/annurev.ea.05.050177.000343 · Cited by 529
Cited by
Independent Component Analysis: Principles and Practice
(2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511624148 · Cited by 1,917
Image reconstruction by domain-transform manifold learning
Zhu, B., Liu, J. Z., Cauley, S. F., Rosen, B. R., & Rosen, M. S. (2018) · Nature · doi:10.1038/nature25988 · Cited by 1,694
On the rationale of maximum-entropy methods
Jaynes, E. T. (1982) · Proceedings of the IEEE · doi:10.1109/proc.1982.12425 · Cited by 1,297
From Laplace to Supernova SN 1987A: Bayesian Inference in Astrophysics
Loredo, T. J. (1990) · Maximum Entropy and Bayesian Methods · doi:10.1007/978-94-009-0683-9_6 · Cited by 168
Compressed Sensing for Multidimensional Spectroscopy Experiments
Sanders, J. N., Saikin, S. K., Mostame, S., Andrade, X., Widom, J. R., Marcus, A. H., & Aspuru-Guzik, A. (2012) · The Journal of Physical Chemistry Letters · doi:10.1021/jz300988p · Cited by 83
Metadata
- Authors
- Gull, S. F., & Daniell, G. J.
- Venue
- Nature
- Published
- 1978-04
- Volume
- 272
- Issue
- 5655
- Pages
- 686-690
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1977828379
- Cited by
- 965
- References
- 4
- FWCI
- 21.47
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Image reconstruction from incomplete and noisy data. https://app.cochat.ai/papers/10.1038/272686a0
- The paper
- Gull, S. F., & Daniell, G. J. (1978). Image reconstruction from incomplete and noisy data. Nature. https://doi.org/10.1038/272686a0
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
