Zobrazeno 1 - 10
of 505
pro vyhledávání: '"M KIST"'
Autor:
T Ross, M KIST, M Haake, N Vashist, K Eichler, S Genßler, I Giese, J Weigandt, K Klar, P Fettes, J Wischhusen, E Leo, C Schuberth-Wagner
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 12, Iss Suppl 1 (2024)
Externí odkaz:
https://doaj.org/article/fc07b7b8804549849479657581205c51
Autor:
Andreas M. Kist, Katharina Breininger, Marion Dörrich, Stephan Dürr, Anne Schützenberger, Marion Semmler
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Glottis segmentation is a crucial step to quantify endoscopic footage in laryngeal high-speed videoendoscopy. Recent advances in deep neural networks for glottis segmentation allow for a fully automatic workflow. However, exact knowledge of
Externí odkaz:
https://doaj.org/article/fe64eb9ca30846a9bca6c72154a7b593
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-21 (2021)
Animals can adjust their behavior in response to changes in the environment when these changes can be predicted. Here the authors show the role of the cerebellum in zebrafish that change their swimming as they adjust to long-lasting changes in visual
Externí odkaz:
https://doaj.org/article/70322c2a568e429c8e578f309f15c070
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract High-speed videoendoscopy is an important tool to study laryngeal dynamics, to quantify vocal fold oscillations, to diagnose voice impairments at laryngeal level and to monitor treatment progress. However, there is a significant lack of an o
Externí odkaz:
https://doaj.org/article/7246be3aad1f4271934900a616afe39b
Publikováno v:
PLoS ONE, Vol 17, Iss 9 (2022)
Deep Learning has a large impact on medical image analysis and lately has been adopted for clinical use at the point of care. However, there is only a small number of reports of long-term studies that show the performance of deep neural networks (DNN
Externí odkaz:
https://doaj.org/article/ad445d57dd7746d6bf0de5c0cb9024d0
Autor:
Patrick Schlegel, Andreas M. Kist, Marion Semmler, Michael Dollinger, Melda Kunduk, Stephan Durr, Anne Schutzenberger
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 8, Pp 1-11 (2020)
Background: Various voice assessment tools, such as questionnaires and aerodynamic voice characteristics, can be used to assess vocal function of individuals. However, not much is known about the best combinations of these parameters in identificatio
Externí odkaz:
https://doaj.org/article/dce9de3c968d4c9fb36b80afff12a495
Autor:
Andreas M. Kist, Michael Dollinger
Publikováno v:
IEEE Access, Vol 8, Pp 139356-139366 (2020)
The U-Net architecture is a state-of-the-art neural network for semantic image segmentation that is widely used in biomedical research. It is based on an encoder-decoder framework and its vanilla version shows already high performance in terms of seg
Externí odkaz:
https://doaj.org/article/aeee1c82743946609f6a43f1d5e30344
Autor:
Janet M. Kist, Gideon W.G. Smit, Albert T.A. Mairuhu, Jeroen N. Struijs, Rimke C. Vos, Petra G. van Peet, Hedwig M.M. Vos, Edith D. Beishuizen, Yvo W.J. Sijpkens, Rolf H.H. Groenwold, Mattijs E. Numans
Publikováno v:
EClinicalMedicine, Vol 40, Iss , Pp 101120- (2021)
Background: Socioeconomic status and ethnicity are not incorporated as predictors in country-level cardiovascular risk charts on mainland Europe. The aim of this study was to quantify the sex-specific cardiovascular death rates stratified by ethnicit
Externí odkaz:
https://doaj.org/article/5fc96d4437994ff28b97d0124d5e15f0
Autor:
Deirdre Larsen, Takeshi Ikuma, Luisa Neubig, Andreas M. Kist, Rebecca Leonard, Andrew J. McWhorter, Melda Kunduk
Publikováno v:
Journal of Speech, Language, and Hearing Research. 66:565-572
Purpose: This research note illustrates the effects of video data with nonsquare pixels on the pixel-based measures obtained from videofluoroscopic swallow studies (VFSS). Method: Six pixel-based distance and area measures were obtained from two diff
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine. 11:137-144