3D Virtual Models and Augmented Reality for Robot-Assisted Partial Nephrectomy
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-11000-9_12
Reference32 articles.
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2. Amparore D, et al. 3D imaging technologies in minimally-invasive kidney and prostate cancer surgery: which is the urologists’ perception? Minerva Urol Nephrol. 2021. https://doi.org/10.23736/S2724-6051.21.04131-X.
3. Amparore D, Checcucci E, Piazzolla P, Piramide F, De Cillis S, Piana A, Verri P, Manfredi M, Fiori C, Vezzetti E, Porpiglia F. Indocyanine Green Drives Computer Vision Based 3D Augmented Reality Robot Assisted Partial Nephrectomy: The Beginning of Automatic Overlapping Era. Urology. 2022 Jun;164:e312–e316. doi: https://doi.org/10.1016/j.urology.2021.10.053. Epub 2022 Jan 19. PMID: 35063460.
4. Antonelli A, et al. Holographic reconstructions for preoperative planning before partial nephrectomy: a head-to-head comparison with standard CT scan. Urologia Internationalis S Karger AG. 2019;102(2):212–7. https://doi.org/10.1159/000495618.
5. Aoun F, et al. Indocyanine greenfluorescence-guidedsentinel lymph node identification in urologic cancers: a systematic review and meta-analysis. Minerva Urologica e Nefrologica. Edizioni Minerva Medica 2018;361–9. https://doi.org/10.23736/S0393-2249.17.02932-0.
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