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Fitzgerald CW, Hararah M, Mclean T, Woods R, Dogan S, Tabar V, et al. Virtual surgical planning and three-dimensional models for precision sinonasal and skull base surgery. Cancers (Basel). 2023;15(20):4989. DOI: 10.3390/cancers15204989.Search in Google Scholar
Sander IM, Liepert TT, Doney EL, Leevy WM, Liepert DR. Patient education for endoscopic sinus surgery: Preliminary experience using 3D-printed clinical imaging data. J Funct Biomater. 2017;8(2):13. DOI: 10.3390/jfb8020013.Search in Google Scholar
Tevanov I, Liciu E, Chirila MO, Dusca A, Ulici A. The use of 3D printing in improving patient-doctor relationship and malpractice prevention. Romanian J Leg Med. 2017;25(3):279-82. DOI: 10.4323/rjlm.2017.279.Search in Google Scholar
Rose AS, Webster CE, Harrysson OLA, Formeister EJ, Rawal RB, Iseli CE. Pre-operative simulation of pediatric mastoid surgery with 3D-printed temporal bone models. Int J Pediatr Otorhinolaryngol. 2015;79(5):740-4. DOI: 10.1016/j.ijporl.2015.03.004.Search in Google Scholar
Zhuo C, Lei L, Yulin L, Wentao L, Shuangxia W, Chao W, et al. Creation and validation of three-dimensional printed models for basic nasal endoscopic training. Int Forum Allergy Rhinol. 2019;9(6):695-701. DOI: 10.1002/alr.22306.Search in Google Scholar
Liciu E, Frumuseanu B, Popescu BM, Florea DC, Niculescu L, Ulici A. Personalized surgical planning – the use of 3D printing in oncological pathology. Romanian J Orthop Surg Traumatol. 2018;1(Supplement):40-40. DOI: 10.2478/rojost-2018-0051.Search in Google Scholar
Jing Z, Zhang T, Xiu P, Cai H, Wei Q, Fan D, et al. Functionalization of 3D-printed titanium alloy orthopedic implants: a literature review. Biomed Mater. 2020;15(5):052003. DOI: 10.1088/1748-605X/ab9078.Search in Google Scholar
Simal I, Garcia-Casillas MA, Cerda JA, Riquelme O, Lorca-Garcia C, Perez-Egido L, Fernandez-Bautista B, et al. Three-dimensional custom- made titanium ribs for reconstruction of a large chest wall defect. European J Pediatr Surg Rep. 2016;4(1):26-30. DOI: 10.1055/s-0036-1593738.Search in Google Scholar
Zhai Y, Zhang H, Wang J, Zhao D. Research progress of metal-based additive manufacturing in medical implants. Reviews on Advanced Materials Science. 2023;62(1):20230148. DOI: 10.1515/rams-2023-0148.Search in Google Scholar
Ng SL, Das S, Ting YP, Wong RCW, Chanchareonsook N. Benefits and biosafety of use of 3D‐printing technology for titanium biomedical implants: A pilot study in the rabbit model. Int J Mol Sci. 2021;22(16):8480. DOI: 10.3390/ijms22168480.Search in Google Scholar
3D Slicer image computing platform. [Internet]. Available from: https://www.slicer.org/.Search in Google Scholar
Blender. [Internet]. Version 3.1.0. Released March 9th, 2022. Available from: https://www.blender.org/download/releases/3-1/.Search in Google Scholar
Bambu Studio. [Internet]. Bambu Lab. Available from: https://bambulab.com/en-eu/download/studio.Search in Google Scholar
Anycubic MonoX2. Aycubic [3D Printer]. Available from: https://store.anycubic.com/products/photon-mono-x2-sla-3d-printer.Search in Google Scholar
Akmal JS, Salmi M, Hemming B, Teir L, Soumalainen A, Kortesniemi M, et al. Cumulative inaccuracies in implementation of additive manufacturing through medical imaging, 3D thresholding, and 3D modeling: A case study for an end-use implant. Appl Sci Switz. 2020;10(8):2968. DOI: 10.3390/app10082968.Search in Google Scholar
Deng Z, Wang B, Zhu Z. BE-FNet: 3D bounding box estimation feature pyramid network for accurate and efficient maxillary sinus segmentation. Math Probl Eng. 2020;2020:1-6. DOI: 10.1155/2020/5689301.Search in Google Scholar
Yang G, Dai Z, Zhang Y, Zhu L, Tan J, Chen Z, et al. Multiscale local enhancement deep convolutional networks for the automated 3D segmentation of gross tumor volumes in nasopharyngeal carcinoma: a multi-institutional dataset study. Front Oncol. 2022;12:827991. DOI: 10.3389/fonc.2022.827991.Search in Google Scholar
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