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Items: 1 to 20 of 81

1.

Aerodynamic impact of the ventricular folds in computational larynx models.

Sadeghi H, Döllinger M, Kaltenbacher M, Kniesburges S.

J Acoust Soc Am. 2019 Apr;145(4):2376. doi: 10.1121/1.5098775.

PMID:
31046372
2.

Influence of spatial camera resolution in high-speed videoendoscopy on laryngeal parameters.

Schlegel P, Kunduk M, Stingl M, Semmler M, Döllinger M, Bohr C, Schützenberger A.

PLoS One. 2019 Apr 22;14(4):e0215168. doi: 10.1371/journal.pone.0215168. eCollection 2019.

3.

Juvenile Ovine Ex Vivo Larynges: Phonatory, Histologic, and Micro CT Based Anatomic Analyses.

Döllinger M, Wendler O, Gerstenberger C, Grossmann T, Semmler M, Sadeghi H, Gugatschka M.

Biomed Res Int. 2019 Mar 4;2019:6932047. doi: 10.1155/2019/6932047. eCollection 2019.

4.

Low-light image enhancement of high-speed endoscopic videos using a convolutional neural network.

Gómez P, Semmler M, Schützenberger A, Bohr C, Döllinger M.

Med Biol Eng Comput. 2019 Mar 21. doi: 10.1007/s11517-019-01965-4. [Epub ahead of print]

PMID:
30900057
5.

Laryngeal Pressure Estimation With a Recurrent Neural Network.

Gomez P, Schutzenberger A, Semmler M, Dollinger M.

IEEE J Transl Eng Health Med. 2018 Dec 27;7:2000111. doi: 10.1109/JTEHM.2018.2886021. eCollection 2019.

6.

Investigation of phonatory characteristics using ex vivo rabbit larynges.

Döllinger M, Kniesburges S, Berry DA, Birk V, Wendler O, Dürr S, Alexiou C, Schützenberger A.

J Acoust Soc Am. 2018 Jul;144(1):142. doi: 10.1121/1.5043384.

PMID:
30075689
7.

Contribution to the discussion of "When should meta-analysis avoid making hidden normality assumptions?"

Kulinskaya E, Dollinger MB.

Biom J. 2018 Nov;60(6):1066-1067. doi: 10.1002/bimj.201800177. Epub 2018 Aug 1. No abstract available.

PMID:
30069937
8.

Dependencies and Ill-designed Parameters Within High-speed Videoendoscopy and Acoustic Signal Analysis.

Schlegel P, Stingl M, Kunduk M, Kniesburges S, Bohr C, Döllinger M.

J Voice. 2018 May 31. pii: S0892-1997(18)30016-X. doi: 10.1016/j.jvoice.2018.04.011. [Epub ahead of print]

PMID:
29861291
9.

Clinical relevance of endoscopic three-dimensional imaging for quantitative assessment of phonation.

Semmler M, Döllinger M, Patel RR, Ziethe A, Schützenberger A.

Laryngoscope. 2018 Oct;128(10):2367-2374. doi: 10.1002/lary.27165. Epub 2018 Mar 14.

PMID:
29536548
10.

Computational Models of Laryngeal Aerodynamics: Potentials and Numerical Costs.

Sadeghi H, Kniesburges S, Kaltenbacher M, Schützenberger A, Döllinger M.

J Voice. 2018 Feb 7. pii: S0892-1997(17)30431-9. doi: 10.1016/j.jvoice.2018.01.001. [Epub ahead of print]

PMID:
29428274
11.

Physical parameter estimation from porcine ex vivo vocal fold dynamics in an inverse problem framework.

Gómez P, Schützenberger A, Kniesburges S, Bohr C, Döllinger M.

Biomech Model Mechanobiol. 2018 Jun;17(3):777-792. doi: 10.1007/s10237-017-0992-5. Epub 2017 Dec 11.

PMID:
29230589
12.

Biomechanical simulation of vocal fold dynamics in adults based on laryngeal high-speed videoendoscopy.

Döllinger M, Gómez P, Patel RR, Alexiou C, Bohr C, Schützenberger A.

PLoS One. 2017 Nov 9;12(11):e0187486. doi: 10.1371/journal.pone.0187486. eCollection 2017.

13.

Influence of glottal closure on the phonatory process in ex vivo porcine larynges.

Birk V, Kniesburges S, Semmler M, Berry DA, Bohr C, Döllinger M, Schützenberger A.

J Acoust Soc Am. 2017 Oct;142(4):2197. doi: 10.1121/1.5007952.

PMID:
29092569
14.

Phonation Analysis Combined with 3D Reconstruction of the Thyroarytenoid Muscle in Aged Ovine Ex Vivo Larynx Models.

Gerstenberger C, Döllinger M, Kniesburges S, Bubalo V, Karbiener M, Schlager H, Sadeghi H, Wendler O, Gugatschka M.

J Voice. 2018 Sep;32(5):517-524. doi: 10.1016/j.jvoice.2017.08.016. Epub 2017 Sep 28.

PMID:
28964638
15.

Laryngeal evidence for the first and second passaggio in professionally trained sopranos.

Echternach M, Burk F, Köberlein M, Selamtzis A, Döllinger M, Burdumy M, Richter B, Herbst CT.

PLoS One. 2017 May 3;12(5):e0175865. doi: 10.1371/journal.pone.0175865. eCollection 2017.

16.

Impact of Superparamagnetic Iron Oxide Nanoparticles on Vocal Fold Fibroblasts: Cell Behavior and Cellular Iron Kinetics.

Pöttler M, Fliedner A, Schreiber E, Janko C, Friedrich RP, Bohr C, Döllinger M, Alexiou C, Dürr S.

Nanoscale Res Lett. 2017 Dec;12(1):284. doi: 10.1186/s11671-017-2045-5. Epub 2017 Apr 20.

17.

Automated setup for ex vivo larynx experiments.

Birk V, Döllinger M, Sutor A, Berry DA, Gedeon D, Traxdorf M, Wendler O, Bohr C, Kniesburges S.

J Acoust Soc Am. 2017 Mar;141(3):1349. doi: 10.1121/1.4976085.

PMID:
28372097
18.

Oscillatory Onset and Offset in Young Vocally Healthy Adults Across Various Measurement Methods.

Patel RR, Walker R, Döllinger M.

J Voice. 2017 Jul;31(4):512.e17-512.e24. doi: 10.1016/j.jvoice.2016.12.002. Epub 2017 Feb 3.

19.

The Influence of Vowels on Vocal Fold Dynamics in the Tenor's Passaggio.

Echternach M, Burk F, Köberlein M, Burdumy M, Döllinger M, Richter B.

J Voice. 2017 Jul;31(4):424-429. doi: 10.1016/j.jvoice.2016.11.010. Epub 2016 Dec 28.

PMID:
28040341
20.

Laryngeal High-Speed Videoendoscopy: Sensitivity of Objective Parameters towards Recording Frame Rate.

Schützenberger A, Kunduk M, Döllinger M, Alexiou C, Dubrovskiy D, Semmler M, Seger A, Bohr C.

Biomed Res Int. 2016;2016:4575437. Epub 2016 Nov 21.

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