Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Maier, Andreas K"'
Publikováno v:
J. Imaging 2023, 9(10), 221
Our goal is to reconstruct tomographic images with few measurements and a low signal-to-noise ratio. In clinical imaging, this helps to improve patient comfort and reduce radiation exposure. As quantum computing advances, we propose to use an adiabat
Externí odkaz:
http://arxiv.org/abs/2212.01312
Autor:
Mühlberg, Alexander, Ritter, Paul, Langer, Simon, Goossens, Chloë, Nübler, Stefanie, Schneidereit, Dominik, Taubmann, Oliver, Denzinger, Felix, Nörenberg, Dominik, Haug, Michael, Goldmann, Wolfgang H., Maier, Andreas K., Friedrich, Oliver, Kreiss, Lucas
Deep learning (DL) shows notable success in biomedical studies. However, most DL algorithms work as a black box, exclude biomedical experts, and need extensive data. We introduce the Self-Enhancing Multi-Photon Artificial Intelligence (SEMPAI), that
Externí odkaz:
http://arxiv.org/abs/2210.16273
Autor:
Ploner, Stefan B., Kraus, Martin F., Moult, Eric M., Husvogt, Lennart, Schottenhamml, Julia, Alibhai, A. Yasin, Waheed, Nadia K., Duker, Jay S., Fujimoto, James G., Maier, Andreas K.
We propose a novel method for non-rigid 3-D motion correction of orthogonally raster-scanned optical coherence tomography angiography volumes. This is the first approach that aligns predominantly axial structural features like retinal layers and tran
Externí odkaz:
http://arxiv.org/abs/2010.06931
Eye movements, blinking and other motion during the acquisition of optical coherence tomography (OCT) can lead to artifacts, when processed to OCT angiography (OCTA) images. Affected scans emerge as high intensity (white) or missing (black) regions,
Externí odkaz:
http://arxiv.org/abs/2001.02512
Autor:
Hoffmann, Mathis, Doll, Bernd, Talkenberg, Florian, Brabec, Christoph J., Maier, Andreas K., Christlein, Vincent
Fast, non-destructive and on-site quality control tools, mainly high sensitive imaging techniques, are important to assess the reliability of photovoltaic plants. To minimize the risk of further damages and electrical yield losses, electroluminescenc
Externí odkaz:
http://arxiv.org/abs/1907.08451
Autor:
Maier, Andreas K., Syben, Christopher, Stimpel, Bernhard, Würfl, Tobias, Hoffmann, Mathis, Schebesch, Frank, Fu, Weilin, Mill, Leonid, Kling, Lasse, Christiansen, Silke
Publikováno v:
Nature Machine Intelligence 1, 373-380, 2019
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
Externí odkaz:
http://arxiv.org/abs/1907.01992
Autor:
Syben, Christopher, Michen, Markus, Stimpel, Bernhard, Seitz, Stephan, Ploner, Stefan, Maier, Andreas K.
Purpose: Recently, several attempts were conducted to transfer deep learning to medical image reconstruction. An increasingly number of publications follow the concept of embedding the CT reconstruction as a known operator into a neural network. Howe
Externí odkaz:
http://arxiv.org/abs/1904.13342
Autor:
Schirrmacher, Franziska, Köhler, Thomas, Lindenberger, Tobias, Husvogt, Lennart, Endres, Jürgen, Fujimoto, James G., Hornegger, Joachim, Dörfler, Arnd, Hoelter, Philip, Maier, Andreas K.
This paper introduces an universal and structure-preserving regularization term, called quantile sparse image (QuaSI) prior. The prior is suitable for denoising images from various medical imaging modalities. We demonstrate its effectiveness on volum
Externí odkaz:
http://arxiv.org/abs/1802.03943
Autor:
Pérez-Toro, Paula Andrea, Rodríguez-Salas, Dalia, Arias-Vergara, Tomás, Klumpp, Philipp, Schuster, Maria, Nöth, Elmar, Orozco-Arroyave, Juan Rafael, Maier, Andreas K.
Publikováno v:
In Smart Health December 2022 26
Autor:
Köhler, Thomas, Bätz, Michel, Naderi, Farzad, Kaup, André, Maier, Andreas K., Riess, Christian
Over the past decades, various super-resolution (SR) techniques have been developed to enhance the spatial resolution of digital images. Despite the great number of methodical contributions, there is still a lack of comparative validations of SR unde
Externí odkaz:
http://arxiv.org/abs/1709.04881