Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Tobias, Würfl"'
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:
Julia Schottenhamml, Tobias Würfl, Stefan B. Ploner, Lennart Husvogt, Bettina Hohberger, James G. Fujimoto, Andreas Maier
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Denoising in optical coherence tomography (OCT) is important to compensate the low signal-to-noise ratio originating from laser speckle. In recent years learning algorithms have been established as the most powerful denoising approach. Espec
Externí odkaz:
https://doaj.org/article/b249f726579247ca8b61a08cdb781f2c
Autor:
Lasse Kling, Weilin Fu, Silke Christiansen, Frank Schebesch, Leonid Mill, Christopher Syben, Tobias Würfl, Andreas Maier, Mathis Hoffmann, Bernhard Stimpel
Publikováno v:
Nature Machine Intelligence. 1:373-380
We describe an approach for incorporating prior knowledge into machine learning algorithms. We aim at applications in physics and signal processing in which we know that certain operations must be embedded into the algorithm. Any operation that allow
Autor:
Tobias Pickel, Thilo Winkler, Claudia Buerhop-Lutz, Mathis Hoffmann, Vincent Christlein, Tobias Würfl, Bernd Doll, Ian Marius Peters, Christoph J. Brabec, Andreas Maier, Luca Reeb
Publikováno v:
Progress in photovoltaics 29(8), 920-935 (2021). doi:10.1002/pip.3416
Seminar, Deutschland
Seminar, Deutschland
Automated inspection plays an important role in monitoring large‐scale photovoltaic power plants. Commonly, electroluminescense measurements are used to identify various types of defects on solar modules, but have not been used to determine the pow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb99cfa46c3da6d291e09887717b0b12
https://hdl.handle.net/2128/28310
https://hdl.handle.net/2128/28310
This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2022, held in conjunction with MICCAI 2022, in September 2022, held in Singapore.The 15 papers presented were caref
This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2021, held in conjunction with MICCAI 2021, in October 2021. The workshop was planned to take place in Strasbourg,
Autor:
Andreas Maier, Bernhard Stimpel, Philipp Ritt, Tobias Würfl, A. Hans Vija, Maximilian P. Reymann, Michal Cachovan
Publikováno v:
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Single Photon Emitted Computed Tomography (SPECT) is characterized by low photon counts which results in a high degree of image noise. In this work, we demonstrate the feasibility of applying deep learning-based image denoising networks to this imagi
Autor:
Andreas K, Maier, Christopher, Syben, Bernhard, Stimpel, Tobias, Würfl, Mathis, Hoffmann, Frank, Schebesch, Weilin, Fu, Leonid, Mill, Lasse, Kling, Silke, Christiansen
Publikováno v:
Nature machine intelligence
We describe an approach for incorporating prior knowledge into machine learning algorithms. We aim at applications in physics and signal processing in which we know that certain operations must be embedded into the algorithm. Any operation that allow
Autor:
Florian Stelzle, Christopher Bohr, Andreas Maier, Tobias Würfl, Nicolai Oetter, Christian Knipfer, Marc Aubreville, Miguel Goncalves, H Neumann
Publikováno v:
Biomedical Engineering Systems and Technologies ISBN: 9783030291952
BIOSTEC (Selected Papers)
BIOSTEC (Selected Papers)
Squamous Cell Carcinoma (SCC) is the most common cancer type of the epithelium and is often detected at a late stage. Besides invasive diagnosis of SCC by means of biopsy and histo-pathologic assessment, Confocal Laser Endomicroscopy (CLE) has emerge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::564a41e7dc07069e7ac78745358a3ce4
https://doi.org/10.1007/978-3-030-29196-9_4
https://doi.org/10.1007/978-3-030-29196-9_4