An automatic deep learning approach for coronary artery calcium segmentation
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Other studies that investigated deep learning algorithms for automated coronary calcium quantification used smaller cohorts or proprietary technologies.
“Although other studies have investigated deep learning algorithms for automated coronary calcium quantification34–42, they used smaller cohorts or proprietary technologies.”
From Deep convolutional neural networks to predict cardiovascular risk from computed tomography (2021) · cites this paper as [39]
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Wolterink, J. M., Leiner, T., de Vos, B. D., van Hamersvelt, R. W., Viergever, M. A., & Išgum, I. (2016) · Medical Image Analysis · doi:10.1016/j.media.2016.04.004 · Cited by 321 · see citing works
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Deep convolutional neural networks to predict cardiovascular risk from computed tomography
Zeleznik, R., Foldyna, B., Eslami, P., Weiss, J., Alexander, I., Taron, J., Parmar, C., Alvi, R. M., Banerji, D., Uno, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-20966-2 · Cited by 240 · see citing works
Shadmi, R., Mazo, V., Bregman-Amitai, O., & Elnekave, E. (2018) · 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) · doi:10.1109/isbi.2018.8363515 · Cited by 59 · see citing works
Huo, Y., Terry, J. G., Wang, J., Nath, V., Bermudez, C., Bao, S., Parvathaneni, P., Carr, J. J., & Landman, B. A. (2019) · Medical Imaging 2019: Image Processing · doi:10.1117/12.2512541 · Cited by 22 · see citing works
- Authors
- Santini, G., Latta, D. D., Martini, N., Valvano, G., Gori, A., Ripoli, A., Susini, C. L., Landini, L., & Chiappino, D.
- Affiliations
- University of Pisa (IT)
- Fondazione Toscana Gabriele Monasterio (IT)
- Corresponding author
- Santini, Gianmarco
- Venue
- IFMBE Proceedings
- Publisher
- Springer Singapore
- Published
- 2017-06-13
- Pages
- 374-377
- ISSN
- 1433-9277 (ISSN-L)
- 1680-0737
- OpenAlex
- W2626873798
- Cited by
- 39
- References
- 1
- Citations by year
- 2025: 5 · 2024: 3 · 2023: 6 · 2022: 2 · 2021: 8 · 2020: 5 · 2019: 6 · 2018: 4
- FWCI
- 8.21
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
- Keywords
- coronary artery calcium, convolutional neural networks, cardiac CT, non-contrast CT, atherosclerosis, cardiovascular risk prediction
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