De Momi E - Search Results

1

Toward a navigation framework for fetoscopy.

Casella A, Lena C, Moccia S, Paladini D, De Momi E, Mattos LS. Casella A, et al. Among authors: de momi e. Int J Comput Assist Radiol Surg. 2023 Dec;18(12):2349-2356. doi: 10.1007/s11548-023-02974-3. Epub 2023 Aug 16. Int J Comput Assist Radiol Surg. 2023. PMID: 37587389 Free PMC article.

2

Skill-Oriented and Performance-Driven Adaptive Curricula for Training in Robot-Assisted Surgery Using Simulators: A Feasibility Study.

Mariani A, Pellegrini E, De Momi E. Mariani A, et al. Among authors: de momi e. IEEE Trans Biomed Eng. 2021 Feb;68(2):685-694. doi: 10.1109/TBME.2020.3011867. Epub 2021 Jan 20. IEEE Trans Biomed Eng. 2021. PMID: 32746071 Clinical Trial.

3

Automatic extraction of the mid-facial plane for cranio-maxillofacial surgery planning.

De Momi E, Chapuis J, Pappas I, Ferrigno G, Hallermann W, Schramm A, Caversaccio M. De Momi E, et al. Int J Oral Maxillofac Surg. 2006 Jul;35(7):636-42. doi: 10.1016/j.ijom.2006.01.028. Epub 2006 Mar 20. Int J Oral Maxillofac Surg. 2006. PMID: 16542822 Free article.

4

Inverse Reinforcement Learning Intra-Operative Path Planning for Steerable Needle.

Segato A, Marzo MD, Zucchelli S, Galvan S, Secoli R, De Momi E. Segato A, et al. Among authors: de momi e. IEEE Trans Biomed Eng. 2022 Jun;69(6):1995-2005. doi: 10.1109/TBME.2021.3133075. Epub 2022 May 19. IEEE Trans Biomed Eng. 2022. PMID: 34882540

5

Redundancy optimization strategy for hands-on robotic surgery.

Barra B, Beretta E, Nessi F, Ferrigno G, De Momi E. Barra B, et al. Among authors: de momi e. Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:4857-60. doi: 10.1109/EMBC.2015.7319481. Annu Int Conf IEEE Eng Med Biol Soc. 2015. PMID: 26737381

6

Review of Robotic Technology for Stereotactic Neurosurgery.

Faria C, Erlhagen W, Rito M, De Momi E, Ferrigno G, Bicho E. Faria C, et al. Among authors: de momi e. IEEE Rev Biomed Eng. 2015;8:125-37. doi: 10.1109/RBME.2015.2428305. Epub 2015 Apr 30. IEEE Rev Biomed Eng. 2015. PMID: 25955851 Review.

7

Functional electrical stimulation controlled by artificial neural networks: pilot experiments with simple movements are promising for rehabilitation applications.

Ferrante S, Pedrocchi A, Iannò M, De Momi E, Ferrarin M, Ferrigno G. Ferrante S, et al. Among authors: de momi e. Funct Neurol. 2004 Oct-Dec;19(4):243-52. Funct Neurol. 2004. PMID: 15776793

8

Bi-unicompartmental versus total knee arthroplasty: a matched paired study with early clinical results.

Confalonieri N, Manzotti A, Cerveri P, De Momi E. Confalonieri N, et al. Among authors: de momi e. Arch Orthop Trauma Surg. 2009 Sep;129(9):1157-63. doi: 10.1007/s00402-008-0713-8. Epub 2008 Aug 12. Arch Orthop Trauma Surg. 2009. PMID: 18696093

9

Validation of FreeSurfer-estimated brain cortical thickness: comparison with histologic measurements.

Cardinale F, Chinnici G, Bramerio M, Mai R, Sartori I, Cossu M, Lo Russo G, Castana L, Colombo N, Caborni C, De Momi E, Ferrigno G. Cardinale F, et al. Among authors: de momi e. Neuroinformatics. 2014 Oct;12(4):535-42. doi: 10.1007/s12021-014-9229-2. Neuroinformatics. 2014. PMID: 24789776

10

Relationship between cutting errors and learning curve in computer-assisted total knee replacement.

Manzotti A, Cerveri P, De Momi E, Pullen C, Confalonieri N. Manzotti A, et al. Among authors: de momi e. Int Orthop. 2010 Jun;34(5):655-62. doi: 10.1007/s00264-009-0816-z. Epub 2009 Jun 10. Int Orthop. 2010. PMID: 19513711 Free PMC article.

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