Sansone M - Search Results

1

Subject identification via ECG fiducial-based systems: influence of the type of QT interval correction.

Gargiulo F, Fratini A, Sansone M, Sansone C. Gargiulo F, et al. Among authors: sansone m, sansone c. Comput Methods Programs Biomed. 2015 Oct;121(3):127-36. doi: 10.1016/j.cmpb.2015.05.012. Epub 2015 Jun 25. Comput Methods Programs Biomed. 2015. PMID: 26143963

2

Discrimination power of short-term heart rate variability measures for CHF assessment.

Pecchia L, Melillo P, Sansone M, Bracale M. Pecchia L, et al. Among authors: sansone m. IEEE Trans Inf Technol Biomed. 2011 Jan;15(1):40-6. doi: 10.1109/TITB.2010.2091647. Epub 2010 Nov 11. IEEE Trans Inf Technol Biomed. 2011. PMID: 21075731

3

Discrimination power of long-term heart rate variability measures for chronic heart failure detection.

Melillo P, Fusco R, Sansone M, Bracale M, Pecchia L. Melillo P, et al. Among authors: sansone m. Med Biol Eng Comput. 2011 Jan;49(1):67-74. doi: 10.1007/s11517-010-0728-5. Epub 2011 Jan 4. Med Biol Eng Comput. 2011. PMID: 21203855

4

Electrocardiogram pattern recognition and analysis based on artificial neural networks and support vector machines: a review.

Sansone M, Fusco R, Pepino A, Sansone C. Sansone M, et al. Among authors: sansone c. J Healthc Eng. 2013;4(4):465-504. doi: 10.1260/2040-2295.4.4.465. J Healthc Eng. 2013. PMID: 24287428 Free article. Review.

5

Measurement of intervertebral cervical motion by means of dynamic x-ray image processing and data interpolation.

Bifulco P, Cesarelli M, Romano M, Fratini A, Sansone M. Bifulco P, et al. Among authors: sansone m. Int J Biomed Imaging. 2013;2013:152920. doi: 10.1155/2013/152920. Epub 2013 Oct 31. Int J Biomed Imaging. 2013. PMID: 24288523 Free PMC article.

6

Individual identification via electrocardiogram analysis.

Fratini A, Sansone M, Bifulco P, Cesarelli M. Fratini A, et al. Among authors: sansone m. Biomed Eng Online. 2015 Aug 14;14:78. doi: 10.1186/s12938-015-0072-y. Biomed Eng Online. 2015. PMID: 26272456 Free PMC article. Review.

7

Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic Review.

Fusco R, Sansone M, Filice S, Carone G, Amato DM, Sansone C, Petrillo A. Fusco R, et al. Among authors: sansone m, sansone c. J Med Biol Eng. 2016;36(4):449-459. doi: 10.1007/s40846-016-0163-7. Epub 2016 Aug 31. J Med Biol Eng. 2016. PMID: 27656117 Free PMC article. Review.

8

Breast DCE-MRI: lesion classification using dynamic and morphological features by means of a multiple classifier system.

Fusco R, Di Marzo M, Sansone C, Sansone M, Petrillo A. Fusco R, et al. Among authors: sansone m, sansone c. Eur Radiol Exp. 2017;1(1):10. doi: 10.1186/s41747-017-0007-4. Epub 2017 Jun 29. Eur Radiol Exp. 2017. PMID: 29708202 Free PMC article.

9

Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks.

Piantadosi G, Sansone M, Fusco R, Sansone C. Piantadosi G, et al. Among authors: sansone m, sansone c. Artif Intell Med. 2020 Mar;103:101781. doi: 10.1016/j.artmed.2019.101781. Epub 2019 Dec 23. Artif Intell Med. 2020. PMID: 32143788

10

A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI.

Galli A, Marrone S, Piantadosi G, Sansone M, Sansone C. Galli A, et al. Among authors: sansone m, sansone c. J Imaging. 2021 Dec 14;7(12):276. doi: 10.3390/jimaging7120276. J Imaging. 2021. PMID: 34940743 Free PMC article.

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