Zobrazeno 1 - 10
of 6 932
pro vyhledávání: '"SABEL, A."'
Autor:
Shuwen Jia, Xiaolin Mei, Lilin Chen, Lok Hin Chan, Celia Tsang, Venus Suen, Tingni Li, Myo Win Zaw, Amanda Liu, Ben Thompson, Bernhard Sabel, George Woo, Christopher K. S. Leung, Shea-ping Yip, Dorita H. F. Chang, Allen M. Y. Cheong
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-18 (2024)
Abstract Background Glaucoma patients with irreversible visual field loss often experience decreased quality of life, impaired mobility, and mental health challenges. Perceptual learning (PL) and transcranial electrical stimulation (tES) have emerged
Externí odkaz:
https://doaj.org/article/8f3ada45100c495e97a0a2b352cf3e23
Deep learning models for image classification are often trained at a resolution of 224 x 224 pixels for historical and efficiency reasons. However, chest X-rays are acquired at a much higher resolution to display subtle pathologies. This study invest
Externí odkaz:
http://arxiv.org/abs/2306.06051
Chest X-ray (CXR) images are commonly compressed to a lower resolution and bit depth to reduce their size, potentially altering subtle diagnostic features. Radiologists use windowing operations to enhance image contrast, but the impact of such operat
Externí odkaz:
http://arxiv.org/abs/2306.06038
Autor:
Wollek, Alessandro, Haitzer, Philip, Sedlmeyr, Thomas, Hyska, Sardi, Rueckel, Johannes, Sabel, Bastian, Ingrisch, Michael, Lasser, Tobias
Radiologists are in short supply globally, and deep learning models offer a promising solution to address this shortage as part of clinical decision-support systems. However, training such models often requires expensive and time-consuming manual lab
Externí odkaz:
http://arxiv.org/abs/2306.05997
Autor:
Wollek, Alessandro, Hyska, Sardi, Sedlmeyr, Thomas, Haitzer, Philip, Rueckel, Johannes, Sabel, Bastian O., Ingrisch, Michael, Lasser, Tobias
This study aimed to develop an algorithm to automatically extract annotations for chest X-ray classification models from German thoracic radiology reports. An automatic label extraction model was designed based on the CheXpert architecture, and a web
Externí odkaz:
http://arxiv.org/abs/2306.02777
Publikováno v:
International Journal of Entrepreneurial Behavior & Research, 2024, Vol. 30, Issue 6, pp. 1425-1447.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJEBR-07-2023-0682
Autor:
Wollek, Alessandro, Graf, Robert, Čečatka, Saša, Fink, Nicola, Willem, Theresa, Sabel, Bastian O., Lasser, Tobias
Purpose: To investigate chest radiograph (CXR) classification performance of vision transformers (ViT) and interpretability of attention-based saliency using the example of pneumothorax classification. Materials and Methods: In this retrospective stu
Externí odkaz:
http://arxiv.org/abs/2303.01871
Autor:
Jeblick, Katharina, Schachtner, Balthasar, Dexl, Jakob, Mittermeier, Andreas, Stüber, Anna Theresa, Topalis, Johanna, Weber, Tobias, Wesp, Philipp, Sabel, Bastian, Ricke, Jens, Ingrisch, Michael
The release of ChatGPT, a language model capable of generating text that appears human-like and authentic, has gained significant attention beyond the research community. We expect that the convincing performance of ChatGPT incentivizes users to appl
Externí odkaz:
http://arxiv.org/abs/2212.14882
To investigate the impact of OOD radiographs on existing chest X-ray classification models and to increase their robustness against OOD data. The study employed the commonly used chest X-ray classification model, CheXnet, trained on the chest X-ray 1
Externí odkaz:
http://arxiv.org/abs/2208.01077
Autor:
Bertram Kjerulff, Joseph Dowsett, Rikke Louise Jacobsen, Josephine Gladov, Margit Hørup Larsen, Agnete Troen Lundgaard, Karina Banasik, David Westergaard, Susan Mikkelsen, Khoa Manh Dinh, Lotte Hindhede, Kathrine Agergård Kaspersen, Michael Schwinn, Anders Juul, Betina Poulsen, Birgitte Lindegaard, Carsten Bøcker Pedersen, Clive Eric Sabel, Henning Bundgaard, Henriette Svarre Nielsen, Janne Amstrup Møller, Jens Kjærgaard Boldsen, Kristoffer Sølvsten Burgdorf, Lars Vedel Kessing, Linda Jenny Handgaard, Lise Wegner Thørner, Maria Didriksen, Mette Nyegaard, Niels Grarup, Niels Ødum, Pär I. Johansson, Poul Jennum, Ruth Frikke-Schmidt, Sanne Schou Berger, Søren Brunak, Søren Jacobsen, Thomas Folkmann Hansen, Tine Kirkeskov Lundquist, Torben Hansen, Torben Lykke Sørensen, Torben Sigsgaard, Kaspar René Nielsen, Mie Topholm Bruun, Henrik Hjalgrim, Henrik Ullum, Klaus Rostgaard, Erik Sørensen, Ole Birger Pedersen, Sisse Rye Ostrowski, Christian Erikstrup
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-15 (2024)
Abstract Background The emerging use of biomarkers in research and tailored care introduces a need for information about the association between biomarkers and basic demographics and lifestyle factors revealing expectable concentrations in healthy in
Externí odkaz:
https://doaj.org/article/2cf9df2a8b374f6abb5d546a3f0b5949