Simultaneous Estimation of X-ray Back-Scatter and Forward-Scatter using Multi-Task Learning

no code implementations • 8 Jul 2020 • Philipp Roser, Xia Zhong, Annette Birkhold, Alexander Preuhs, Christopher Syben, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas Maier

Here, we propose a novel approach combining conventional techniques with learning-based methods to simultaneously estimate the forward-scatter reaching the detector as well as the back-scatter affecting the patient skin dose.

Blocking Multi-Task Learning

Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach

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.

Image Registration Image Stitching +2

Action Learning for 3D Point Cloud Based Organ Segmentation

no code implementations • 14 Jun 2018 • Xia Zhong, Mario Amrehn, Nishant Ravikumar, Shuqing Chen, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas Maier

From this we conclude that our method is robust, and we believe that our method can be successfully applied to many more applications, in particular, in the interventional imaging space.

Organ Segmentation Q-Learning +1