Moccia S - Search Results

1

An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics.

Zaffino P, Marzullo A, Moccia S, Calimeri F, De Momi E, Bertucci B, Arcuri PP, Spadea MF. Zaffino P, et al. Among authors: moccia s. Bioengineering (Basel). 2021 Feb 16;8(2):26. doi: 10.3390/bioengineering8020026. Bioengineering (Basel). 2021. PMID: 33669235 Free PMC article.

2

Deep learning in endoscopy: the importance of standardisation.

Paderno A, Villani FP, Sordi A, Montenegro C, Moccia S. Paderno A, et al. Among authors: moccia s. Acta Otorhinolaryngol Ital. 2023 Dec;43(6):430-432. doi: 10.14639/0392-100X-N2580. Epub 2023 Oct 10. Acta Otorhinolaryngol Ital. 2023. PMID: 37814976 Free PMC article.

3

Artificial Intelligence for Upper Aerodigestive Tract Endoscopy and Laryngoscopy: A Guide for Physicians and State-of-the-Art Review.

Sampieri C, Baldini C, Azam MA, Moccia S, Mattos LS, Vilaseca I, Peretti G, Ioppi A. Sampieri C, et al. Among authors: moccia s. Otolaryngol Head Neck Surg. 2023 Oct;169(4):811-829. doi: 10.1002/ohn.343. Epub 2023 Apr 13. Otolaryngol Head Neck Surg. 2023. PMID: 37051892 Review.

4

Uncovering the potential of innovation ecosystems in the healthcare sector after the COVID-19 crisis.

Lepore D, Frontoni E, Micozzi A, Moccia S, Romeo L, Spigarelli F. Lepore D, et al. Among authors: moccia s. Health Policy. 2023 Jan;127:80-86. doi: 10.1016/j.healthpol.2022.12.001. Epub 2022 Dec 5. Health Policy. 2023. PMID: 36509555 Free PMC article.

5

Instance segmentation of upper aerodigestive tract cancer: site-specific outcomes.

Paderno A, Villani FP, Fior M, Berretti G, Gennarini F, Zigliani G, Ulaj E, Montenegro C, Sordi A, Sampieri C, Peretti G, Moccia S, Piazza C. Paderno A, et al. Among authors: moccia s. Acta Otorhinolaryngol Ital. 2023 Aug;43(4):283-290. doi: 10.14639/0392-100X-N2336. Acta Otorhinolaryngol Ital. 2023. PMID: 37488992 Free PMC article.

6

Real-Time Laryngeal Cancer Boundaries Delineation on White Light and Narrow-Band Imaging Laryngoscopy with Deep Learning.

Sampieri C, Azam MA, Ioppi A, Baldini C, Moccia S, Kim D, Tirrito A, Paderno A, Piazza C, Mattos LS, Peretti G. Sampieri C, et al. Among authors: moccia s. Laryngoscope. 2024 Jun;134(6):2826-2834. doi: 10.1002/lary.31255. Epub 2024 Jan 4. Laryngoscope. 2024. PMID: 38174772

7

Convolutional neural network classifies visual stimuli from cortical response recorded with wide-field imaging in mice.

De Luca D, Moccia S, Lupori L, Mazziotti R, Pizzorusso T, Micera S. De Luca D, et al. Among authors: moccia s. J Neural Eng. 2023 Apr 4;20(2). doi: 10.1088/1741-2552/acc2e7. J Neural Eng. 2023. PMID: 36893458

8

Confident texture-based laryngeal tissue classification for early stage diagnosis support.

Moccia S, De Momi E, Guarnaschelli M, Savazzi M, Laborai A, Guastini L, Peretti G, Mattos LS. Moccia S, et al. J Med Imaging (Bellingham). 2017 Jul;4(3):034502. doi: 10.1117/1.JMI.4.3.034502. Epub 2017 Sep 29. J Med Imaging (Bellingham). 2017. PMID: 28983494 Free PMC article.

9

Blood vessel segmentation algorithms - Review of methods, datasets and evaluation metrics.

Moccia S, De Momi E, El Hadji S, Mattos LS. Moccia S, et al. Comput Methods Programs Biomed. 2018 May;158:71-91. doi: 10.1016/j.cmpb.2018.02.001. Epub 2018 Feb 10. Comput Methods Programs Biomed. 2018. PMID: 29544791 Review.

10

Computer-assisted liver graft steatosis assessment via learning-based texture analysis.

Moccia S, Mattos LS, Patrini I, Ruperti M, Poté N, Dondero F, Cauchy F, Sepulveda A, Soubrane O, De Momi E, Diaspro A, Cesaretti M. Moccia S, et al. Int J Comput Assist Radiol Surg. 2018 Sep;13(9):1357-1367. doi: 10.1007/s11548-018-1787-6. Epub 2018 May 23. Int J Comput Assist Radiol Surg. 2018. PMID: 29796834

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