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American Journal of Audiology
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July 23, 2019
A Comprehensive Evaluation of Tinnitus Apps
Aniruddha K Deshpande, Tova Shimunova
American Journal of Audiology
|
September 28, 2022
Race/Ethnicity, Gender, and Socioeconomic Status Representation in U.S.-Based Randomized Controlled Trials of Tinnitus: A Systematic Review
Shruti Balvalli Deshpande, Aniruddha K Deshpande
International Journal of Audiology
|
September 22, 2021
Virtual reality for tinnitus management: a randomized controlled trial
Aniruddha K Deshpande, Ishan Bhatt, Chanapong Rojanaworarit
American Journal of Audiology
|
November 21, 2018
A Study of Social Media Utilization by Individuals With Tinnitus
Aniruddha K Deshpande, Shruti Balvalli Deshpande, Colleen O'Brien
American Journal of Audiology
|
June 15, 2017
The Effectiveness of the Progression of Widex Zen Tinnitus Therapy: A Pilot Study
Richard S Tyler, Aniruddha K Deshpande, Chi C Lau, et al.
American Journal of Audiology
|
September 1, 2022
Social Media Use in Hearing Loss, Tinnitus, and Vestibular Disorders: A Systematic Review
Alyssa Jade Ulep, Aniruddha K Deshpande, Eldré W Beukes, et al.
Journal of the American Academy of Audiology
|
May 1, 2018
fMRI as a Preimplant Objective Tool to Predict Children's Postimplant Auditory and Language Outcomes as Measured by Parental Observations
Aniruddha K Deshpande, Lirong Tan, Long J Lu, et al.
Ear and Hearing
|
December 23, 2015
fMRI as a Preimplant Objective Tool to Predict Postimplant Oral Language Outcomes in Children with Cochlear Implants
Aniruddha K Deshpande, Lirong Tan, Long J Lu, et al.
American Journal of Audiology
|
February 7, 2022
Online Discussions About Tinnitus: What Can We Learn From Natural Language Processing of Reddit Posts?
Vinaya Manchaiah, Alain Londero, Aniruddha K Deshpande, et al.
Brain and Behavior
|
January 26, 2016
A semi-supervised Support Vector Machine model for predicting the language outcomes following cochlear implantation based on pre-implant brain fMRI imaging
Lirong Tan, Scott K Holland, Aniruddha K Deshpande, et al.
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of 2
Search research articles
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Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
American Journal of Audiology
|
July 23, 2019
A Comprehensive Evaluation of Tinnitus Apps
Aniruddha K Deshpande, Tova Shimunova
American Journal of Audiology
|
September 28, 2022
Race/Ethnicity, Gender, and Socioeconomic Status Representation in U.S.-Based Randomized Controlled Trials of Tinnitus: A Systematic Review
Shruti Balvalli Deshpande, Aniruddha K Deshpande
International Journal of Audiology
|
September 22, 2021
Virtual reality for tinnitus management: a randomized controlled trial
Aniruddha K Deshpande, Ishan Bhatt, Chanapong Rojanaworarit
American Journal of Audiology
|
November 21, 2018
A Study of Social Media Utilization by Individuals With Tinnitus
Aniruddha K Deshpande, Shruti Balvalli Deshpande, Colleen O'Brien
American Journal of Audiology
|
June 15, 2017
The Effectiveness of the Progression of Widex Zen Tinnitus Therapy: A Pilot Study
Richard S Tyler, Aniruddha K Deshpande, Chi C Lau, et al.
American Journal of Audiology
|
September 1, 2022
Social Media Use in Hearing Loss, Tinnitus, and Vestibular Disorders: A Systematic Review
Alyssa Jade Ulep, Aniruddha K Deshpande, Eldré W Beukes, et al.
Journal of the American Academy of Audiology
|
May 1, 2018
fMRI as a Preimplant Objective Tool to Predict Children's Postimplant Auditory and Language Outcomes as Measured by Parental Observations
Aniruddha K Deshpande, Lirong Tan, Long J Lu, et al.
Ear and Hearing
|
December 23, 2015
fMRI as a Preimplant Objective Tool to Predict Postimplant Oral Language Outcomes in Children with Cochlear Implants
Aniruddha K Deshpande, Lirong Tan, Long J Lu, et al.
American Journal of Audiology
|
February 7, 2022
Online Discussions About Tinnitus: What Can We Learn From Natural Language Processing of Reddit Posts?
Vinaya Manchaiah, Alain Londero, Aniruddha K Deshpande, et al.
Brain and Behavior
|
January 26, 2016
A semi-supervised Support Vector Machine model for predicting the language outcomes following cochlear implantation based on pre-implant brain fMRI imaging
Lirong Tan, Scott K Holland, Aniruddha K Deshpande, et al.
Page
of 2