Use of Convolutional Neural Networks to Evaluate Auricular Reconstruction Outcomes for Microtia-Reference-Cited by-同舟云学术

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Use of Convolutional Neural Networks to Evaluate Auricular Reconstruction Outcomes for Microtia

Published:2022-11-29 Issue: Volume: Page:
ISSN:0023-852X
Container-title:The Laryngoscope
language:en
Short-container-title:The Laryngoscope

Author:

Tolba Mariam¹,Qian Z. Jason²^ORCID,Lin Hung‐Fu²,Yeom Kristen W.³,Truong Mai Thy²^ORCID

Affiliation:

1. Department of Computer Science Northwestern University Chicago Illinois USA

2. Department of Otolaryngology‐Head & Neck Surgery Stanford University School of Medicine Stanford California USA

3. Department of Radiology Stanford University School of Medicine Stanford California USA

Publisher

Wiley

Subject

Otorhinolaryngology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/lary.30499

Reference19 articles.

1. Epidemiologic features and clinical subgroups of anotia/microtia in Texas

2. Epidemiologic characteristics of anotia and microtia in California, 1989-1997

3. A prospective evaluation of psychosocial outcomes following ear reconstruction with rib cartilage in microtia

4. Pre and post-operative psychological functioning in younger and older children with microtia

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1. Artificial intelligence applications in ophthalmic surgery;Current Opinion in Ophthalmology;2024-08-15

2. A Systematic Review of the Application of Computational Technology in Microtia;Journal of Craniofacial Surgery;2024-05-07

3. Applications of artificial intelligence in facial plastic and reconstructive surgery: a systematic review;Current Opinion in Otolaryngology & Head & Neck Surgery;2024-04-19

4. Dual Option Microtia Clinic: A Comparison of Outcomes in Microtia Reconstruction Using Autologous Rib or Porous Polyethylene Implant;Facial Plastic Surgery & Aesthetic Medicine;2023-08-01

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