Automatic Implant Generation for Cranioplasty via Occupancy Networks-Reference-Cited by-同舟云学术

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Automatic Implant Generation for Cranioplasty via Occupancy Networks

Published:2024 Issue: Volume:12 Page:95185-95195
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mazzocchetti Stefano¹^ORCID,Bevini Mirko²,Badiali Giovanni²^ORCID,Lisanti Giuseppe³^ORCID,Di Stefano Luigi³^ORCID,Salti Samuele³^ORCID

Affiliation:

1. Department of Medical and Surgical Sciences, eDIMES Lab—Laboratory of Bioengineering, University of Bologna, Bologna, Italy

2. Oral and Maxillo-Facial Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy

3. Department of Computer Science and Engineering (DISI), University of Bologna, Bologna, Italy

Funder

Alma Idea 2022 grant—Alma Mater Studiorum—University of Bologna, funded by the European Union—NextGenerationEU program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10589384.pdf?arnumber=10589384

Reference36 articles.

1. Computer-aided implant design for the restoration of cranial defects

2. The Development of Skull Prosthesis Through Active Contour Model

3. Development and validation of deep learning algorithms for detection of critical findings in head CT scans;Chilamkurthy;arXiv:1803.05854,2018

4. Deep learning on implicit neural representations of shapes;Luigi

5. Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software

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