Learning with Known Operators reduces Maximum Training Error Bounds

3 July 2019

Papers citing "Learning with Known Operators reduces Maximum Training Error Bounds"

46 / 46 papers shown

Title
Machine learning in business process management: A systematic literature review Sven Weinzierl Sandra Zilker Sebastian Dunzer Martin Matzner 40 11 0 26 May 2024
Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning -- A Review Mohammadreza Amirian Daniel Barco Ivo Herzig Frank-Peter Schilling MedIm 19 6 0 27 Mar 2024
Quantitative Analysis of Molecular Transport in the Extracellular Space Using Physics-Informed Neural Network Jiayi Xie Hongfeng Li Jin Cheng Qingrui Cai Hanbo Tan Lingyun Zu Xiaobo Qu Hongbin Han 28 2 0 23 Jan 2024
Active Inference-Based Optimization of Discriminative Neural Network Classifiers Faezeh Fallah 29 0 0 04 Jun 2023
Lateral Strain Imaging using Self-supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography A. Tehrani Md Ashikuzzaman H. Rivaz 40 16 0 16 Dec 2022
Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised Tomographic Image Denoising Fabian Wagner Mareike Thies Laura Pfaff Noah Maul Sabrina Pechmann ... D. Weidner Georgiana Neag S. Uderhardt Jang-Hwan Choi Andreas K. Maier 30 5 0 09 Dec 2022
Data Models for Dataset Drift Controls in Machine Learning With Optical Images Luis Oala Marco Aversa Gabriel Nobis Kurt Willis Yoan Neuenschwander ... E. Pomarico Wojciech Samek Roderick Murray-Smith Christoph Clausen B. Sanguinetti 23 5 0 04 Nov 2022
SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for prior-informed assessment of muscle function and pathology Alexander Muhlberg P. Ritter S. Langer C. Goossens Stefanie Nübler ... Michael Haug W. H. Goldmann Andreas K. Maier O. Friedrich Lucas Kreiss 6 1 0 28 Oct 2022
Neural Network based Formation of Cognitive Maps of Semantic Spaces and the Emergence of Abstract Concepts Paul Stoewer A. Schilling Andreas K. Maier P. Krauss 19 13 0 28 Oct 2022
Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion Srikrishna Jaganathan Maximilian Kukla Jian Wang Karthik Shetty Andreas K. Maier 3DPC 36 10 0 14 Oct 2022
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 21 16 0 15 Jul 2022
AutoSpeed: A Linked Autoencoder Approach for Pulse-Echo Speed-of-Sound Imaging for Medical Ultrasound Farnaz Khun Jush M. Biele P. Dueppenbecker Andreas K. Maier OOD 30 2 0 04 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 25 24 0 01 Jul 2022
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks A. Kofler Christian Wald T. Schaeffter Markus Haltmeier C. Kolbitsch 19 1 0 09 Jun 2022
Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography A. Tehrani H. Rivaz OOD 17 5 0 05 Jun 2022
Neural Network based Successor Representations of Space and Language Paul Stoewer Christian Schlieker A. Schilling C. Metzner Andreas K. Maier P. Krauss 6 18 0 22 Feb 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 26 22 0 25 Jan 2022
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 20 29 0 10 Aug 2021
Physics perception in sloshing scenes with guaranteed thermodynamic consistency B. Moya Alberto Badías D. González Francisco Chinesta Elías Cueto 17 14 0 24 Jun 2021
A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction Liyue Shen Wei Zhao D. Capaldi John M. Pauly Lei Xing 18 28 0 25 May 2021
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network Fasil Gadjimuradov Thomas Benkert M. Nickel Andreas K. Maier OOD 15 11 0 19 May 2021
Learning the Update Operator for 2D/3D Image Registration Srikrishna Jaganathan Jian Wang A. Borsdorf Andreas K. Maier MedIm 11 4 0 04 Feb 2021
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction A. Kofler Markus Haltmeier T. Schaeffter C. Kolbitsch 3DV 16 24 0 01 Feb 2021
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification Sulaiman Vesal Mingxuan Gu Andreas K. Maier Nishant Ravikumar 14 18 0 24 Dec 2020
Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation L. Mill David Wolff Nele Gerrits P. Philipp L. Kling ... J. Audinot I. Nelissen T. Wirtz Andreas K. Maier S. Christiansen 12 35 0 20 Nov 2020
Joint Super-Resolution and Rectification for Solar Cell Inspection M. Hoffmann Thomas Köhler Bernd Doll Frank Schebesch F. Talkenberg I. M. Peters Christoph J. Brabec Andreas K. Maier Vincent Christlein 12 0 0 10 Nov 2020
Deep Learning in Photoacoustic Tomography: Current approaches and future directions A. Hauptmann B. Cox 15 130 0 16 Sep 2020
Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems Yixing Huang F. Fan Christopher Syben Philipp Roser L. Mill Andreas K. Maier 3DV MedIm 9 19 0 09 Sep 2020
JBFnet -- Low Dose CT Denoising by Trainable Joint Bilateral Filtering Mayank Patwari R. Gutjahr R. Raupach Andreas K. Maier 15 16 0 09 Jul 2020
Appearance Learning for Image-based Motion Estimation in Tomography Alexander Preuhs M. Manhart Philipp Roser Elisabeth Hoppe Yixing Huang M. Psychogios M. Kowarschik Andreas K. Maier 9 12 0 18 Jun 2020
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images Yixing Huang Alexander Preuhs M. Manhart G. Lauritsch Andreas K. Maier MedIm 14 5 0 20 May 2020
Deep variational network for rapid 4D flow MRI reconstruction V. Vishnevskiy Jonas Walheim Sebastian Kozerke 6 67 0 20 Apr 2020
Will we ever have Conscious Machines? P. Krauss Andreas K. Maier 25 29 0 31 Mar 2020
CLCNet: Deep learning-based Noise Reduction for Hearing Aids using Complex Linear Coding Hendrik Schröter T. Rosenkranz Alberto N. Escalante Marc Aubreville Andreas K. Maier 12 20 0 28 Jan 2020
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning K. Jablonka D. Ongari S. M. Moosavi B. Smit AI4CE 23 350 0 18 Jan 2020
Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning Yixing Huang Shengxiang Wang Y. Guan Andreas K. Maier MedIm 13 23 0 08 Jan 2020
Deep Learning-based Denoising of Mammographic Images using Physics-driven Data Augmentation Dominik Eckert Sulaiman Vesal L. Ritschl Steffen Kappler Andreas K. Maier MedIm 14 10 0 11 Dec 2019
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT Jennifer K. Maier Luis Carlos Rivera Monroy Christopher Syben Yejin Jeon Jang-Hwan Choi M. Hall M. Levenston G. Gold R. Fahrig Andreas K. Maier 14 1 0 03 Dec 2019
Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing Bernhard Stimpel Christopher Syben Franziska Schirrmacher P. Hoelter Arnd Dörfler Andreas K. Maier MedIm 6 23 0 18 Nov 2019
Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing Prashant Chaudhari Franziska Schirrmacher Andreas K. Maier Christian Riess Thomas Köhler 11 12 0 12 Nov 2019
Field of View Extension in Computed Tomography Using Deep Learning Prior Yixing Huang Lei Gao Alexander Preuhs Andreas K. Maier 16 13 0 04 Nov 2019
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Yixing Huang Alexander Preuhs G. Lauritsch M. Manhart Xiaolin Huang Andreas K. Maier 6 38 0 19 Aug 2019
Multi-Scale Learned Iterative Reconstruction A. Hauptmann J. Adler Simon Arridge Ozan Oktem 23 37 0 01 Aug 2019
A Divide-and-Conquer Approach towards Understanding Deep Networks Weilin Fu Katharina Breininger Roman Schaffert Nishant Ravikumar Andreas K. Maier SSeg 6 19 0 14 Jul 2019
RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting Elisabeth Hoppe Florian Thamm Gregor Körzdörfer Christopher Syben Franziska Schirrmacher M. Nittka J. Pfeuffer H. Meyer Andreas K. Maier 39 16 0 09 Jul 2019
How deep is deep enough? -- Quantifying class separability in the hidden layers of deep neural networks Junhong Lin C. Metzner Andreas K. Maier V. Cevher Holger Schulze Patrick Krauss 18 56 0 05 Nov 2018