Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Comunello, Eros
von Wangenheim, Aldo
Heck Junior, Vilson
Dornelles, Cristina
and
Costa, Sady Selamen
2009.
A computational method for the semi-automated quantitative analysis of tympanic membrane perforations and tympanosclerosis.
Computers in Biology and Medicine,
Vol. 39,
Issue. 10,
p.
889.
Lerut, Bob
Pfammatter, Alain
Moons, Johnny
and
Linder, Thomas
2012.
Functional Correlations of Tympanic Membrane Perforation Size.
Otology & Neurotology,
Vol. 33,
Issue. 3,
p.
379.
Goodenough, Anne E.
Smith, Angela L.
Stubbs, Hannah
Williams, Rachel
and
Hart, Adam G.
2012.
Observer Variability in Measuring Animal Biometrics and Fluctuating Asymmetry when using Digital Analysis of Photographs.
Annales Zoologici Fennici,
Vol. 49,
Issue. 1-2,
p.
81.
Yu, Jen Fang
and
Fan, Chia Lun
2013.
Spatial Imaging of the Human Tympanic Membrane.
Applied Mechanics and Materials,
Vol. 284-287,
Issue. ,
p.
1676.
Cho, Sung-Il
Gao, Simon S.
Xia, Anping
Wang, Rosalie
Salles, Felipe T.
Raphael, Patrick D.
Abaya, Homer
Wachtel, Jacqueline
Baek, Jongmin
Jacobs, David
Rasband, Matthew N.
Oghalai, John S.
and
Matsui, Jonathan I.
2013.
Mechanisms of Hearing Loss after Blast Injury to the Ear.
PLoS ONE,
Vol. 8,
Issue. 7,
p.
e67618.
Lou, Zheng-cai
Lou, Zi-han
Liu, Ya-Chao
and
Chang, Jiang
2016.
Healing Human Moderate and Large Traumatic Tympanic Membrane Perforations Using Basic Fibroblast Growth Factor, 0.3% Ofloxacin Eardrops, and Gelfoam Patching.
Otology & Neurotology,
Vol. 37,
Issue. 6,
p.
735.
Lou, Z.
Lou, Z.
Tang, Y.
and
Xiao, J.
2016.
The effect of ofloxacin otic drops on the regeneration of human traumatic tympanic membrane perforations.
Clinical Otolaryngology,
Vol. 41,
Issue. 5,
p.
564.
Lou, Zhengcai
and
Lou, Zihan
2017.
A comparative study to evaluate the efficacy of EGF, FGF-2, and 0.3% (w/v) ofloxacin drops on eardrum regeneration.
Medicine,
Vol. 96,
Issue. 30,
p.
e7654.
Pham, Van-Truong
Tran, Thi-Thao
Wang, Pa-Chun
Chen, Po-Yu
and
Lo, Men-Tzung
2021.
EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images.
Artificial Intelligence in Medicine,
Vol. 115,
Issue. ,
p.
102065.
Pham, Van-Truong
Tran, Thi-Thao
Wang, Pa-Chun
and
Lo, Men-Tzung
2021.
Tympanic membrane segmentation in otoscopic images based on fully convolutional network with active contour loss.
Signal, Image and Video Processing,
Vol. 15,
Issue. 3,
p.
519.
Li, Lok-Yee Joyce
Wang, Shin-Yi
Yang, Jinn-Moon
Chen, Chih-Jou
Tsai, Cheng-Yu
Wu, Lucas Yee-Yan
Wu, Te-Fang
and
Wu, Cheng-Jung
2022.
The Development and Evaluation of a Smartphone-Aided Diagnosis Application to Measure Tympanic Membrane Perforations.
Ear, Nose & Throat Journal,
p.
014556132211233.
Shahal, David
Goncalves, Stefania
and
Angeli, Simon I.
2022.
Mesenchymal Stem Cells for Treatment of Delayed-Healing Tympanic Membrane Perforations Using Hyaluronate-based Laminas as a Delivery System: An Animal Model With Histopathologic Study.
Otology & Neurotology,
Vol. 43,
Issue. 4,
p.
e497.
Zong, Huiqin
and
Lou, Zhengcai
2023.
Healing large Traumatic Tympanic Membrane Perforations Using Vaseline Gauze and Gelfoam Patching Alone.
Ear, Nose & Throat Journal,
p.
014556132211505.
Oghalai, Thomas P.
Long, Ryan
Kim, Wihan
Applegate, Brian E.
and
Oghalai, John S.
2023.
Automated Segmentation of Optical Coherence Tomography Images of the Human Tympanic Membrane Using Deep Learning.
Algorithms,
Vol. 16,
Issue. 9,
p.
445.
Li, Yanping
Ding, Yongqing
Li, Dong
Xin, Yunchao
Wei, Ruili
and
Liu, Yachao
2023.
With and without exogenous biological scaffolds for repairing traumatic perforations of tympanic membrane: Randomized clinical trials.
American Journal of Otolaryngology,
Vol. 44,
Issue. 1,
p.
103650.
Song, Dahye
Kim, Taewan
Lee, Yeonjoon
and
Kim, Jaeyoung
2023.
Image-Based Artificial Intelligence Technology for Diagnosing Middle Ear Diseases: A Systematic Review.
Journal of Clinical Medicine,
Vol. 12,
Issue. 18,
p.
5831.
Chandrasekar, Bhargavi
Milinis, Kristijonas
Lowe, Natalie
De, Sujata
and
Sharma, Sunil D
2024.
Assessment of tympanic membrane perforation size using ImageJ software by ENT clinicians of different grades.
The Journal of Laryngology & Otology,
Vol. 138,
Issue. 4,
p.
388.
Camalan, Seda
Khalid Khan Niazi, Muhammad
Elmaraghy, Charles
Moberly, Aaron C.
Gurcan, Metin N.
Astley, Susan M.
and
Chen, Weijie
2024.
Tympanic membrane segmentation of video frames to create composite images using SAM.
p.
118.
Sousa, Leonardo Resende de
Fraga, Guilherme Adam
Costa, Igor Souza Pessoa da
Almeida, Ana Claudia Ferreira de
Sassi, Tyuana Sandim da Silveira
and
Lourençone, Luiz Fernando Manzoni
2024.
Diagnostic accuracy of the video otoscope in tympanic membrane perforation.
Brazilian Journal of Otorhinolaryngology,
Vol. 90,
Issue. 1,
p.
101336.
Nwosu, Obinna
Suresh, Krish
Knoll, Renata
Lee, Daniel J.
and
Crowson, Matthew G.
2024.
A Proof‐of‐Concept Computer Vision Approach for Measurement of Tympanic Membrane Perforations.
The Laryngoscope,
Vol. 134,
Issue. 6,
p.
2906.