Precision Learning: Towards Use of Known Operators in Neural Networks

Precision Learning: Towards Use of Known Operators in Neural Networks

1 December 2017

Frank Schebesch

Christopher Syben

Papers citing "Precision Learning: Towards Use of Known Operators in Neural Networks"

14 / 14 papers shown

Title
Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT Fabian Wagner Mareike Thies Felix Denzinger Mingxuan Gu Mayank Patwari Stefan B. Ploner Noah Maul Laura Pfaff Yixing Huang Andreas Maier MedIm 23 16 0 15 Jul 2022
WNet: A data-driven dual-domain denoising model for sparse-view computed tomography with a trainable reconstruction layer Theodor Cheslerean-Boghiu Felix C. Hofmann M. Schultheiss F. Pfeiffer Daniela Pfeiffer Tobias Lasser MedIm OOD 27 24 0 01 Jul 2022
Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography Fabian Wagner Mareike Thies Mingxuan Gu Yixing Huang Sabrina Pechmann ... O. Aust S. Uderhardt G. Schett S. Christiansen Andreas Maier MedIm AI4CE 34 22 0 25 Jan 2022
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network Fasil Gadjimuradov Thomas Benkert M. Nickel Andreas Maier OOD 25 11 0 19 May 2021
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 32 355 0 14 Feb 2020
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 13 1 0 19 Dec 2019
Deep Generalized Max Pooling Vincent Christlein Lukas Spranger Mathias Seuret Anguelos Nicolaou Pavel Král Andreas Maier FAtt 24 81 0 14 Aug 2019
A Divide-and-Conquer Approach towards Understanding Deep Networks Weilin Fu Katharina Breininger Roman Schaffert Nishant Ravikumar Andreas Maier SSeg 21 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 30 108 0 03 Jul 2019
PYRO-NN: Python Reconstruction Operators in Neural Networks Christopher Syben Markus Michen Bernhard Stimpel Stephan Seitz Stefan B. Ploner Andreas Maier AI4CE 22 58 0 30 Apr 2019
Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration Roman Schaffert Jian Wang P. Fischer A. Borsdorf Andreas Maier 3DPC 12 16 0 20 Jun 2018
Deep Denoising for Hearing Aid Applications Marc Aubreville K. Ehrensperger T. Rosenkranz B. Graf H. Puder Andreas Maier 18 13 0 03 May 2018
A Guided Spatial Transformer Network for Histology Cell Differentiation Marc Aubreville Maximilian Krappmann C. Bertram R. Klopfleisch Andreas Maier MedIm 25 10 0 26 Jul 2017
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding Vardan Papyan Yaniv Romano Michael Elad 59 284 0 27 Jul 2016