From preoperative computed tomography to postmastoidectomy mesh construction: mastoidectomy shape prediction for cochlear implant surgery

To our knowledge, this is the first work that integrates self-supervised and weakly-supervised learning for mastoidectomy shape prediction, offering a robust and efficient solution for CI surgical planning while leveraging 3D T-distribution loss in weakly-supervised medical imaging.

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Publication Details

Journal
Journal of Medical Imaging
Published
2026-01-27
DOI
https://doi.org/10.1117/1.jmi.13.1.014004
Primary Topic
Hearing Loss and Rehabilitation
Type
article
Field-Weighted Citation Impact
0.00

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article

From preoperative computed tomography to postmastoidectomy mesh construction: mastoidectomy shape prediction for cochlear implant surgery

Yike Zhang, Jack Noble, Eduardo Davalos, Dingjie Su et al.
Journal of Medical Imaging
Hearing Loss and Rehabilitation
article

From preoperative computed tomography to postmastoidectomy mesh construction: mastoidectomy shape prediction for cochlear implant surgery

Yike Zhang, Jack Noble, Eduardo Davalos, Dingjie Su, Ange Lou
article en

Abstract

To our knowledge, this is the first work that integrates self-supervised and weakly-supervised learning for mastoidectomy shape prediction, offering a robust and efficient solution for CI surgical planning while leveraging 3D T-distribution loss in weakly-supervised medical imaging.

Journal of Medical ImagingVol. 13(01)
Research Institute for Advanced Computer Science (US), St. Mary's University, Texas (US), Vanderbilt University (US), Trinity University (US)
National Institute on Deafness and Other Communication Disorders
Openalex Percentile: Top 78%
Hearing Loss and Rehabilitation
DOIOpen Access PDFOpenAlex
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From preoperative computed tomography to postmastoidectomy mesh construction: mastoidectomy shape prediction for cochlear implant surgery — Yike Zhang, Jack Noble, et al. · Journal of Medical Imaging (2026) | TGRS Research Map | TGRS