Frangi-Net: A Neural Network Approach to Vessel Segmentation

9 November 2017

Papers citing "Frangi-Net: A Neural Network Approach to Vessel Segmentation"

7 / 7 papers shown

Title
Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Future Andreas K. Maier Harald Kostler M. Heisig P. Krauss S. Yang MedIm 118 30 0 10 Aug 2021
SVS-net: A Novel Semantic Segmentation Network in Optical Coherence Tomography Angiography Images Yih-Cherng Lee L. Yeung 32 5 0 14 Apr 2021
Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach Siming Bayer X. Zhong Weilin Fu Nishant Ravikumar Andreas Maier 24 1 0 19 Dec 2019
A Divide-and-Conquer Approach towards Understanding Deep Networks Weilin Fu Katharina Breininger Roman Schaffert Nishant Ravikumar Andreas Maier SSeg 40 19 0 14 Jul 2019
Learning with Known Operators reduces Maximum Training Error Bounds Andreas Maier Christopher Syben Bernhard Stimpel Tobias Würfl M. Hoffmann Frank Schebesch Weilin Fu L. Mill L. Kling S. Christiansen 82 108 0 03 Jul 2019
Deriving Neural Network Architectures using Precision Learning: Parallel-to-fan beam Conversion Christopher Syben Bernhard Stimpel Jonathan Lommen Tobias Würfl Arnd Dörfler Andreas Maier MedIm 59 15 0 09 Jul 2018
Precision Learning: Towards Use of Known Operators in Neural Networks Andreas Maier Frank Schebesch Christopher Syben Tobias Würfl S. Steidl Jang-Hwan Choi R. Fahrig 78 34 0 01 Dec 2017