Precision Learning: Towards Use of Known Operators in Neural Networks

1 December 2017

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

6 / 6 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 K. Maier MedIm 13 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 20 23 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 K. Maier MedIm AI4CE 13 22 0 25 Jan 2022
Deep Denoising for Hearing Aid Applications Marc Aubreville K. Ehrensperger T. Rosenkranz B. Graf H. Puder Andreas K. Maier 10 13 0 03 May 2018
A Guided Spatial Transformer Network for Histology Cell Differentiation Marc Aubreville Maximilian Krappmann C. Bertram R. Klopfleisch Andreas K. Maier MedIm 15 10 0 26 Jul 2017
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding V. Papyan Yaniv Romano Michael Elad 48 283 0 27 Jul 2016