no code implementations • 10 Dec 2022 • Weilin Fu, Zhuoran Li, Yupeng Zhang, Xingyou Zhou
Every financial crisis has caused a dual shock to the global economy.
no code implementations • 19 Dec 2019 • Siming Bayer, Xia Zhong, Weilin Fu, Nishant Ravikumar, Andreas Maier
In this work, we propose an imitation learning framework for the registration of 2D color funduscopic images for a wide range of applications such as disease monitoring, image stitching and super-resolution.
no code implementations • 6 Nov 2019 • Weilin Fu, Katharina Breininger, Zhaoya Pan, Andreas Maier
Results show that for retinal vessel segmentation on DRIVE database, U-Net does not degenerate until surprisingly acute conditions: one level, one filter in convolutional layers, and one training sample.
no code implementations • 5 Nov 2019 • Weilin Fu, Lennart Husvogt, Stefan Ploner James G. Fujimoto Andreas Maier
Statistics of the grades by the experts indicate that the transferred module improves both the image quality and the diagnostic quality.
no code implementations • 14 Jul 2019 • Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas Maier
We start with a high-performance U-Net and show by step-by-step conversion that we are able to divide the network into modules of known operators.
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 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.