Using a Disentangled Neural Network to Objectively Assess the Outcomes of Midfacial Surgery in Syndromic Craniosynostosis.

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Bibliographic Details
Title: Using a Disentangled Neural Network to Objectively Assess the Outcomes of Midfacial Surgery in Syndromic Craniosynostosis.
Authors: Rickart AJ; From the UCL Great Ormond Street Institute of Child Health and Craniofacial Unit, Great Ormond Street Hospital for Children., Foti S; Department of Computing, Imperial College London., van de Lande LS; Department of Oral and Maxillofacial Surgery, Erasmus MC., Wagner C; Division of Plastic, Reconstructive and Oral Surgery, Children's Hospital of Philadelphia., Schievano S; From the UCL Great Ormond Street Institute of Child Health and Craniofacial Unit, Great Ormond Street Hospital for Children., Jeelani NUO; From the UCL Great Ormond Street Institute of Child Health and Craniofacial Unit, Great Ormond Street Hospital for Children., Clarkson MJ; Centre for Medical Image Computing.; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London., Ong J; From the UCL Great Ormond Street Institute of Child Health and Craniofacial Unit, Great Ormond Street Hospital for Children., Swanson JW; Division of Plastic, Reconstructive and Oral Surgery, Children's Hospital of Philadelphia., Bartlett SP; Division of Plastic, Reconstructive and Oral Surgery, Children's Hospital of Philadelphia., Taylor JA; Division of Plastic, Reconstructive and Oral Surgery, Children's Hospital of Philadelphia., Dunaway DJ; From the UCL Great Ormond Street Institute of Child Health and Craniofacial Unit, Great Ormond Street Hospital for Children.
Source: Plastic and reconstructive surgery [Plast Reconstr Surg] 2025 May 01; Vol. 155 (5), pp. 884e-892e. Date of Electronic Publication: 2024 Aug 20.
Publication Type: Journal Article
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 1306050 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1529-4242 (Electronic) Linking ISSN: 00321052 NLM ISO Abbreviation: Plast Reconstr Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1529-4242
DOI:10.1097/PRS.0000000000011686