The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Automated lung segmentation for thoracic CT
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Citations
Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
(1965) · The Lancet · doi:10.1016/s0140-6736(65)91037-8 · Cited by 16,856
Image Processing, Analysis and Machine Vision
Sonka, M., Hlavac, V., & Boyle, R. (1993) · Springer eBooks · doi:10.1007/978-1-4899-3216-7 · Cited by 3,717
Image processing, analysis and machine vision
Saarinen, K. (1994) · Signal Processing · doi:10.1016/0165-1684(94)90202-x · Cited by 1,498
Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images
Hu, S., Hoffman, E. A., & Reinhardt, J. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.929615 · Cited by 940
Three-dimensional Volume Rendering of Spiral CT Data: Theory and Method
Calhoun, P. S., Kuszyk, B. S., Heath, D. G., Carley, J. C., & Fishman, E. K. (1999) · RadioGraphics · doi:10.1148/radiographics.19.3.g99ma14745 · Cited by 550
Computerized Detection of Pulmonary Nodules on CT Scans
Armato, S. G., Giger, M. L., Moran, C. J., Blackburn, J. T., Doi, K., & MacMahon, H. (1999) · Radiographics · doi:10.1148/radiographics.19.5.g99se181303 · Cited by 380
Self-citationBankier, A. A., De Maertelaer, V., Keyzer, C., & Gevenois, P. A. (1999) · Radiology · doi:10.1148/radiology.211.3.r99jn05851 · Cited by 333
Quantification of Pulmonary Emphysema from Lung Computed Tomography Images
UPPALURI, R., MITSA, T., SONKA, M., HOFFMAN, E. A., & McLENNAN, G. (1997) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.156.1.9606093 · Cited by 276
Automated detection of lung nodules in CT scans: Preliminary results
Armato, S. G., Giger, M. L., & MacMahon, H. (2001) · Medical Physics · doi:10.1118/1.1387272 · Cited by 250
Self-citation
Cited by
Cheng, J.-Z., Ni, D., Chou, Y.-H., Qin, J., Tiu, C.-M., Chang, Y.-C., Huang, C.-S., Shen, D., & Chen, C.-M. (2016) · Scientific Reports · doi:10.1038/srep24454 · Cited by 755
A deep learning framework for supporting the classification of breast lesions in ultrasound images
Han, S., Kang, H.-K., Jeong, J.-Y., Park, M.-H., Kim, W., Bang, W.-C., & Seong, Y.-K. (2017) · Physics in Medicine & Biology · doi:10.1088/1361-6560/aa82ec · Cited by 358
Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies
El-Baz, A., Beache, G. M., Gimel'farb, G., Suzuki, K., Okada, K., Elnakib, A., Soliman, A., & Abdollahi, B. (2013) · International Journal of Biomedical Imaging · doi:10.1155/2013/942353 · Cited by 277
Metadata
- Authors
- Armato, S. G., & Sensakovic, W. F.
- Venue
- Academic Radiology
- Publisher
- Elsevier BV
- Published
- 2004-09
- Volume
- 11
- Issue
- 9
- Pages
- 1011-1021
- ISSN
- 1076-6332 (ISSN-L)
- OpenAlex
- W2016672701
- Cited by
- 259
- References
- 21
- FWCI
- 9.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Automated lung segmentation for thoracic CT. https://app.cochat.ai/papers/10.1016/j.acra.2004.06.005
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- Armato, S. G., & Sensakovic, W. F. (2004). Automated lung segmentation for thoracic CT. Academic Radiology. https://doi.org/10.1016/j.acra.2004.06.005
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.
