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Benoit M. Dawant

Affiliations: 
Vanderbilt University, Nashville, TN 
Area:
Electronics and Electrical Engineering, Radiology, Computer Science
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"Benoit Dawant"
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Parents

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Children

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Steven L. Hartmann grad student 2002 Vanderbilt
Zhujiang Cao grad student 2004 Vanderbilt
Patrick R. Norris grad student 2006 Vanderbilt
Srivatsan Pallavaram grad student 2010 Vanderbilt
Siyi Ding grad student 2011 Vanderbilt
Zhaoying Han grad student 2011 Vanderbilt
Jack H. Noble grad student 2011 Vanderbilt
Ryan Datteri grad student 2014 Vanderbilt
Yiyuan Zhao grad student 2014-2018 Vanderbilt

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Publications

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Paulo DL, Johnson GW, Doss DJ, et al. (2023) Intraoperative physiology augments atlas-based data in awake deep brain stimulation. Journal of Neurology, Neurosurgery, and Psychiatry
Smetak MR, Fernando SJ, O'Malley MR, et al. (2023) Electrode array positioning after cochlear reimplantation from single manufacturer. Cochlear Implants International. 24: 273-281
Berg KA, Chen C, Noble JH, et al. (2023) Effects of the Number of Channels and Channel Stimulation Rate on Speech Recognition and Sound Quality Using Precurved Electrode Arrays. American Journal of Audiology. 1-14
Gifford RH, Sunderhaus LW, Holder JT, et al. (2022) Speech recognition as a function of the number of channels for pediatric cochlear implant recipients. Jasa Express Letters. 2: 094403
Gifford RH, Sunderhaus LW, Dawant BM, et al. (2022) Cochlear implant spectral bandwidth for optimizing electric and acoustic stimulation (EAS). Hearing Research. 108584
Berg KA, Noble JH, Dawant BM, et al. (2022) Speech recognition as a function of the number of channels for Mid-Scala electrode array recipients. The Journal of the Acoustical Society of America. 152: 67
Wang J, Su D, Fan Y, et al. (2021) Atlas-based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12904: 14-23
Fan Y, Banalagay RA, Cass ND, et al. (2021) Automatic Segmentation of Intracochlear Anatomy in MR Images Using a Weighted Active Shape Model. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 3573-3576
Fan Y, Zhang D, Banalagay R, et al. (2021) Hybrid active shape and deep learning method for the accurate and robust segmentation of the intracochlear anatomy in clinical head CT and CBCT images. Journal of Medical Imaging (Bellingham, Wash.). 8: 064002
Labadie RF, Riojas K, Von Wahlde K, et al. (2021) Clinical Implementation of Second-generation Minimally Invasive Image-guided Cochlear Implantation Surgery. Otology & Neurotology : Official Publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology. 42: 702-705
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