De Momi E - 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: de momi e. Bioengineering (Basel). 2021 Feb 16;8(2):26. doi: 10.3390/bioengineering8020026. Bioengineering (Basel). 2021. PMID: 33669235 Free PMC article.

2

A neural network based method for optical patient set-up registration in breast radiotherapy.

Frosio I, Spadea M, De Momi E, Riboldi M, Baroni G, Ferrigno G, Orecchia R, Pedotti A. Frosio I, et al. Among authors: de momi e. Ann Biomed Eng. 2006 Apr;34(4):677-86. doi: 10.1007/s10439-005-9069-1. Epub 2006 Feb 16. Ann Biomed Eng. 2006. PMID: 16496081

3

Automatic workflow for narrow-band laryngeal video stitching.

Moccia S, Penza V, Vanone GO, De Momi E, Mattos LS. Moccia S, et al. Among authors: de momi e. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:1188-1191. doi: 10.1109/EMBC.2016.7590917. Annu Int Conf IEEE Eng Med Biol Soc. 2016. PMID: 28268537

4

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. Among authors: de momi e. 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.

5

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. Among authors: de momi e. 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.

6

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. Among authors: de momi e. 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

7

EndoAbS dataset: Endoscopic abdominal stereo image dataset for benchmarking 3D stereo reconstruction algorithms.

Penza V, Ciullo AS, Moccia S, Mattos LS, De Momi E. Penza V, et al. Among authors: de momi e. Int J Med Robot. 2018 Oct;14(5):e1926. doi: 10.1002/rcs.1926. Epub 2018 Jul 3. Int J Med Robot. 2018. PMID: 29968295

8

Toward Improving Safety in Neurosurgery with an Active Handheld Instrument.

Moccia S, Foti S, Routray A, Prudente F, Perin A, Sekula RF, Mattos LS, Balzer JR, Fellows-Mayle W, De Momi E, Riviere CN. Moccia S, et al. Among authors: de momi e. Ann Biomed Eng. 2018 Oct;46(10):1450-1464. doi: 10.1007/s10439-018-2091-x. Epub 2018 Jul 16. Ann Biomed Eng. 2018. PMID: 30014286 Free PMC article.

9

FCNN-based axon segmentation for convection-enhanced delivery optimization.

Vidotto M, De Momi E, Gazzara M, Mattos LS, Ferrigno G, Moccia S. Vidotto M, et al. Among authors: de momi e. Int J Comput Assist Radiol Surg. 2019 Mar;14(3):493-499. doi: 10.1007/s11548-018-01911-z. Epub 2019 Jan 7. Int J Comput Assist Radiol Surg. 2019. PMID: 30613910

10

Learned and handcrafted features for early-stage laryngeal SCC diagnosis.

Araújo T, Santos CP, De Momi E, Moccia S. Araújo T, et al. Among authors: de momi e. Med Biol Eng Comput. 2019 Dec;57(12):2683-2692. doi: 10.1007/s11517-019-02051-5. Epub 2019 Nov 14. Med Biol Eng Comput. 2019. PMID: 31728933

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