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Customized design of hearing aids using statistical shape learning

  • Gozde Unal*
  • , Delphine Nain
  • , Greg Slabaugh
  • , Tong Fang
  • *Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

15 Atıf (Scopus)

Özet

3D shape modeling is a crucial component of rapid prototyping systems that customize shapes of implants and prosthetic devices to a patient's anatomy. In this paper, we present a solution to the problem of customized 3D shape modeling using a statistical shape analysis framework. We design a novel method to learn the relationship between two classes of shapes, which are related by certain operations or transformation. The two associated shape classes are represented in a lower dimensional manifold, and the reduced set of parameters obtained in this subspace is utilized in an estimation, which is exemplified by a multivariate regression in this paper. We demonstrate our method with a felicitous application to estimation of customized hearing aid devices.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıMedical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings
Sayfalar518-526
Sayfa sayısı9
BaskıPART 1
DOI'lar
Yayın durumuYayınlandı - 2008
Harici olarak yayınlandıEvet
Etkinlik11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008 - New York, NY, United States
Süre: 6 Eyl 200810 Eyl 2008

Yayın serisi

AdıLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SayıPART 1
Hacim5241 LNCS
ISSN (Basılı)0302-9743
ISSN (Elektronik)1611-3349

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???event.eventtypes.event.conference???11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008
Ülke/BölgeUnited States
ŞehirNew York, NY
Periyot6/09/0810/09/08

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