The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Medical image analysis with artificial neural networks
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Citations
Cites
The precuneus: a review of its functional anatomy and behavioural correlates
Cavanna, A. E., & Trimble, M. R. (2006) · Brain · doi:10.1093/brain/awl004 · Cited by 5,128
Computer-aided diagnosis in medical imaging: historical review, current status and future potential
Doi, K. (2007) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2007.02.002 · Cited by 1,855
A Growing Neural Gas Network Learns Topologies
Fritzke, B. (1994) · Cited by 1,684
Polynomial Theory of Complex Systems
Ivakhnenko, A. G. (1971) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1971.4308320 · Cited by 1,684
Neural modeling and imaging of the cortical interactions underlying syllable production
Guenther, F. H., Ghosh, S. S., & Tourville, J. A. (2006) · Brain and Language · doi:10.1016/j.bandl.2005.06.001 · Cited by 879
Mazurowski, M. A., Habas, P. A., Zurada, J. M., Lo, J. Y., Baker, J. A., & Tourassi, G. D. (2008) · Neural Networks · doi:10.1016/j.neunet.2007.12.031 · Cited by 737
Dorfman, D. D., Berbaum, K. S., & Metz, C. E. (1992) · PubMed · Cited by 724
Are there theory of mind regions in the brain? A review of the neuroimaging literature
Carrington, S. J., & Bailey, A. J. (2009) · Human Brain Mapping · doi:10.1002/hbm.20671 · Cited by 645
Self-Organizing Methods in Modeling: Gmdh Type Algorithms
Farlow, S. J. (1984) · Medical Entomology and Zoology · Cited by 593
Computer-aided detection and classification of microcalcifications in mammograms: a survey
Cheng, H. D., Cai, X., Chen, X., Hu, L., & Lou, X. (2003) · Pattern Recognition · doi:10.1016/s0031-3203(03)00192-4 · Cited by 563
Cited by
An overview of deep learning in medical imaging focusing on MRI
Lundervold, A. S., & Lundervold, A. (2019) · Zeitschrift für Medizinische Physik · doi:10.1016/j.zemedi.2018.11.002 · Cited by 2,058
ANN vs. SVM: Which one performs better in classification of MCCs in mammogram imaging
Ren, J. (2012) · Knowledge-Based Systems · doi:10.1016/j.knosys.2011.07.016 · Cited by 260
Self-citationAbd-Ellah, M. K., Awad, A. I., Khalaf, A. A. M., & Hamed, H. F. A. (2018) · EURASIP Journal on Image and Video Processing · doi:10.1186/s13640-018-0332-4 · Cited by 170
Săftoiu, A., Vilmann, P., Dietrich, C. F., Iglesias-Garcia, J., Hocke, M., Seicean, A., Ignee, A., Hassan, H., Streba, C. T., Ioncică, A. M., et al. (2015) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2014.11.040 · Cited by 150
Convolutional auto-encoder for image denoising of ultra-low-dose CT
Nishio, M., Nagashima, C., Hirabayashi, S., Ohnishi, A., Sasaki, K., Sagawa, T., Hamada, M., & Yamashita, T. (2017) · Heliyon · doi:10.1016/j.heliyon.2017.e00393 · Cited by 106
Metadata
- Authors
- Jiang, J., Trundle, P., & Ren, J.
- Venue
- Computerized Medical Imaging and Graphics
- Publisher
- Elsevier BV
- Published
- 2010-12
- Volume
- 34
- Issue
- 8
- Pages
- 617-631
- ISSN
- 0730-4862 (ISSN-L)
- 0895-6111
- OpenAlex
- W2044029912
- Cited by
- 338
- References
- 53
- FWCI
- 11.79
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Medical image analysis with artificial neural networks. https://app.cochat.ai/papers/10.1016/j.compmedimag.2010.07.003
- The paper
- Jiang, J., Trundle, P., & Ren, J. (2010). Medical image analysis with artificial neural networks. Computerized Medical Imaging and Graphics. https://doi.org/10.1016/j.compmedimag.2010.07.003
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.
