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Hidekane Yoshimura

Showing results (21-30 of 55) with videos related to

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Acta Oto-Laryngologica|November 26, 2021
Frequency and natural course of congenital cytomegalovirus-associated hearing loss in childrenMariko Kasuga, Hidekane Yoshimura, Jun Shinagawa, et al.
Acta Oto-Laryngologica|March 6, 2020
Genetic testing has the potential to impact hearing preservation following cochlear implantationHidekane Yoshimura, Hideaki Moteki, Shin-Ya Nishio, et al.
Molecular Therapy : the Journal of the American Society of Gene Therapy|January 29, 2019
Targeted Allele Suppression Prevents Progressive Hearing Loss in the Mature Murine Model of Human TMC1 DeafnessHidekane Yoshimura, Seiji B Shibata, Paul T Ranum, et al.
International Journal of Epidemiology|April 12, 2024
Epidemiology, aetiology and diagnosis of congenital hearing loss via hearing screening of 153 913 newbornsHidekane Yoshimura, Takuya Okubo, Jun Shinagawa, et al.
Scientific Reports|August 31, 2017
Intravenous rAAV2/9 injection for murine cochlear gene deliverySeiji B Shibata, Hidekane Yoshimura, Paul T Ranum, et al.
Plos One|March 29, 2014
Deafness gene expression patterns in the mouse cochlea found by microarray analysisHidekane Yoshimura, Yutaka Takumi, Shin-ya Nishio, et al.
HGG Advances|February 8, 2026
Identification of Alternative Splicing in WFS1 Associated with Low-Frequency Hearing Loss in Common MarmosetShu Yokota, Hidekane Yoshimura, Shin-Ya Nishio, et al.
The Annals of Otology, Rhinology, and Laryngology|March 7, 2015
Novel ABHD12 mutations in PHARC patients: the differential diagnosis of deaf-blindnessHidekane Yoshimura, Takao Hashimoto, Toshinori Murata, et al.
JMIR AI|July 9, 2024
Correction: Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and ValidationMasao Noda, Hidekane Yoshimura, Takuya Okubo, et al.
JMIR AI|June 14, 2024
Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and ValidationMasao Noda, Hidekane Yoshimura, Takuya Okubo, et al.
Pageof 6

Showing results (21-30 of 55) with videos related to

Sort By:
Pageof 6
Acta Oto-Laryngologica|November 26, 2021
Frequency and natural course of congenital cytomegalovirus-associated hearing loss in childrenMariko Kasuga, Hidekane Yoshimura, Jun Shinagawa, et al.
Acta Oto-Laryngologica|March 6, 2020
Genetic testing has the potential to impact hearing preservation following cochlear implantationHidekane Yoshimura, Hideaki Moteki, Shin-Ya Nishio, et al.
Molecular Therapy : the Journal of the American Society of Gene Therapy|January 29, 2019
Targeted Allele Suppression Prevents Progressive Hearing Loss in the Mature Murine Model of Human TMC1 DeafnessHidekane Yoshimura, Seiji B Shibata, Paul T Ranum, et al.
International Journal of Epidemiology|April 12, 2024
Epidemiology, aetiology and diagnosis of congenital hearing loss via hearing screening of 153 913 newbornsHidekane Yoshimura, Takuya Okubo, Jun Shinagawa, et al.
Scientific Reports|August 31, 2017
Intravenous rAAV2/9 injection for murine cochlear gene deliverySeiji B Shibata, Hidekane Yoshimura, Paul T Ranum, et al.
Plos One|March 29, 2014
Deafness gene expression patterns in the mouse cochlea found by microarray analysisHidekane Yoshimura, Yutaka Takumi, Shin-ya Nishio, et al.
HGG Advances|February 8, 2026
Identification of Alternative Splicing in WFS1 Associated with Low-Frequency Hearing Loss in Common MarmosetShu Yokota, Hidekane Yoshimura, Shin-Ya Nishio, et al.
The Annals of Otology, Rhinology, and Laryngology|March 7, 2015
Novel ABHD12 mutations in PHARC patients: the differential diagnosis of deaf-blindnessHidekane Yoshimura, Takao Hashimoto, Toshinori Murata, et al.
JMIR AI|July 9, 2024
Correction: Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and ValidationMasao Noda, Hidekane Yoshimura, Takuya Okubo, et al.
JMIR AI|June 14, 2024
Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and ValidationMasao Noda, Hidekane Yoshimura, Takuya Okubo, et al.
Pageof 6