1 code implementation • 8 Dec 2020 • Haoyu Wei, Florian Schiffers, Tobias Würfl, Daming Shen, Daniel Kim, Aggelos K. Katsaggelos, Oliver Cossairt
Computed tomography is widely used to examine internal structures in a non-destructive manner.
no code implementations • 12 Nov 2020 • Florian Schiffers, Thomas Bochynek, Andre Aichert, Tobias Würfl, Michael Rubenstein, Oliver Cossairt
The use of computed tomography (CT) imaging has become of increasing interest to academic areas outside of the field of medical imaging and industrial inspection, e. g., to biology and cultural heritage research.
no code implementations • 27 Oct 2020 • Lina Felsner, Tobias Würfl, Christopher Syben, Philipp Roser, Alexander Preuhs, Andreas Maier, Christian Riess
In this work we first formulate this reconstruction problem in terms of a system matrix and weighting part.
1 code implementation • 30 Sep 2020 • Mathis Hoffmann, Claudia Buerhop-Lutz, Luca Reeb, Tobias Pickel, Thilo Winkler, Bernd Doll, Tobias Würfl, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein
However, knowledge of the power at maximum power point is important as well, since drops in the power of a single module can affect the performance of an entire string.
no code implementations • 19 Nov 2019 • Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Philipp Hoelter, Arnd Dörfler, Andreas Maier
Additionally, a weighting scheme in the loss computation that favors high-frequency structures is proposed to focus on the important details and contours in projection imaging.
1 code implementation • 18 Oct 2019 • Mandana Samiei, Tobias Würfl, Tristan Deleu, Martin Weiss, Francis Dutil, Thomas Fevens, Geneviève Boucher, Sebastien Lemieux, Joseph Paul Cohen
Machine learning is bringing a paradigm shift to healthcare by changing the process of disease diagnosis and prognosis in clinics and hospitals.
5 code implementations • 14 Sep 2019 • Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Paul Cohen, Yoshua Bengio
The constant introduction of standardized benchmarks in the literature has helped accelerating the recent advances in meta-learning research.
no code implementations • 3 Jul 2019 • Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke Christiansen
We assume that our analysis will support further investigation of known operators in other fields of physics, imaging, and signal processing.
no code implementations • 9 Jul 2018 • Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas Maier
The results demonstrate that the proposed method is superior to ray-by-ray interpolation and is able to deliver sharper images using the same amount of parallel-beam input projections which is crucial for interventional applications.
1 code implementation • 28 Jun 2018 • Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David Firmin, Jennifer Keegan, Daniel Rueckert, Andreas Maier
In addition, we introduce a semantic interpretability score, measuring the visibility of the region of interest in both ground truth and reconstructed images, which allows us to objectively quantify the usefulness of the image quality for image post-processing and analysis.
no code implementations • 11 Apr 2018 • Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Katrin Mentl, Jonathan M. Lommen, Arnd Dörfler, Andreas Maier
Our approach is capable of creating X-ray projection images with natural appearance.
no code implementations • 12 Jan 2018 • Felix Horger, Tobias Würfl, Vincent Christlein, Andreas Maier
Our model has high sampling efficiency and is easily applied to any probability distribution, without the need of further analytical or numerical calculations.
no code implementations • 1 Dec 2017 • Andreas Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang-Hwan Choi, Rebecca Fahrig
We demonstrate that use of known transforms is able to change maximal error bounds.
no code implementations • 9 Nov 2017 • Weilin Fu, Katharina Breininger, Tobias Würfl, Nishant Ravikumar, Roman Schaffert, Andreas Maier
In this paper, we reformulate the conventional 2-D Frangi vesselness measure into a pre-weighted neural network ("Frangi-Net"), and illustrate that the Frangi-Net is equivalent to the original Frangi filter.
no code implementations • 20 Oct 2017 • Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katrin Mentl, Arnd Dörfler, Andreas Maier
The perceptual-loss showed to be able to preserve most of the high-frequency details in the projection images and, thus, is recommended for the underlying task and similar problems.
no code implementations • 17 Oct 2017 • Christopher Syben, Bernhard Stimpel, Katharina Breininger, Tobias Würfl, Rebecca Fahrig, Arnd Dörfler, Andreas Maier
In this paper, we present substantial evidence that a deep neural network will intrinsically learn the appropriate way to discretize the ideal continuous reconstruction filter.