Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Stefan Ploner"'
Autor:
Julia Schottenhamml, Tobias Würfl, Stefan Ploner, Lennart Husvogt, Robert Lämmer, Bettina Hohberger, Andreas Maier, Christian Mardin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Glaucoma is a group of neurodegenerative diseases that can lead to irreversible blindness. Yet, the progression can be slowed down if diagnosed and treated early enough. Optical coherence tomography angiography (OCTA) can non-invasively prov
Externí odkaz:
https://doaj.org/article/1c2f689a1f0e42f7ad36f295f8aeb6ac
Autor:
Julia Schottenhamml, Tobias Würfl, Stefan Ploner, Lennart Husvogt, Robert Lämmer, Bettina Hohberger, Andreas Maier, Christian Mardin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Multiple ophthalmic diseases lead to decreased capillary perfusion that can be visualized using optical coherence tomography angiography images. To quantify the decrease in perfusion, past studies have often used the vessel density, which is
Externí odkaz:
https://doaj.org/article/7787f50a022e405b9621d5e7cc397631
Autor:
Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas Maier
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Low-dose computed tomography (CT) denoising algorithms aim to enable reduced patient dose in routine CT acquisitions while maintaining high image quality. Recently, deep learning (DL)-based methods were introduced, outperforming conventional
Externí odkaz:
https://doaj.org/article/833a88eaac4745fdbb3084d4cfa806eb
Fundus photography and Optical Coherence Tomography Angiography (OCT-A) are two commonly used modalities in ophthalmic imaging. With the development of deep learning algorithms, fundus image processing, especially retinal vessel segmentation, has bee
Externí odkaz:
http://arxiv.org/abs/1911.02080
Autor:
Stefan Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James Fujimoto, Andreas Maier
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164330
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acfb8289c53c1cc4a74788b9f8b54934
https://doi.org/10.1007/978-3-031-16434-7_50
https://doi.org/10.1007/978-3-031-16434-7_50
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319965192
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ca4f41ff203cffd722aab857a3b6f14
https://doi.org/10.1007/978-3-319-96520-8_12
https://doi.org/10.1007/978-3-319-96520-8_12
Autor:
Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas Maier
Publikováno v:
Scientific Reports. 12(1)
Low-dose computed tomography (CT) denoising algorithms aim to enable reduced patient dose in routine CT acquisitions while maintaining high image quality. Recently, deep learning (DL)-based methods were introduced, outperforming conventional denoisin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e1ff3528db89cf35116119aa2ff4556