Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography

12 November 2018

Papers citing "Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography"

44 / 44 papers shown

Title
An incremental algorithm for non-convex AI-enhanced medical image processing Elena Morotti 34 0 0 13 May 2025
Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models S. Ozaki S. Kaji T. Imae K. Nawa H. Yamashita K. Nakagawa DiffM MedIm 34 0 0 06 Aug 2024
Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging E. Morotti Davide Evangelista Andrea Sebastiani E. L. Piccolomini 41 1 0 25 Apr 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 28 4 0 18 Jan 2024
Learned reconstruction methods for inverse problems: sample error estimates Luca Ratti 24 0 0 21 Dec 2023
Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers M. Terris Thomas Moreau 24 0 0 30 Nov 2023
Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data Thomas Germer Jan Robine S. Konietzny Stefan Harmeling Tobias Uelwer MedIm 18 5 0 13 Sep 2023
Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness C. Hartmann Lorenz Richter AAML 19 2 0 05 Jul 2023
Stretched sinograms for limited-angle tomographic reconstruction with neural networks Kyle L. Luther Sebastian Seung 16 0 0 16 Jun 2023
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
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis Luca Galimberti Anastasis Kratsios Giulia Livieri OOD 28 14 0 24 Oct 2022
Continuous approximation by convolutional neural networks with a sigmoidal function Weike Chang 20 0 0 27 Sep 2022
LRIP-Net: Low-Resolution Image Prior based Network for Limited-Angle CT Reconstruction Qifeng Gao Rui Ding Linyuan Wang Bin Xue Y. Duan 9 5 0 30 Jul 2022
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning Martin Genzel Ingo Gühring Jan Macdonald M. März 25 25 0 14 Jun 2022
On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector Bolin Pan M. Betcke 13 2 0 21 Apr 2022
Physics-assisted Generative Adversarial Network for X-Ray Tomography Zhen Guo J. Song George Barbastathis M. Glinsky C. Vaughan K. Larson B. Alpert Z. Levine GAN MedIm 14 9 0 07 Apr 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 24 25 0 28 Feb 2022
Training Adaptive Reconstruction Networks for Blind Inverse Problems Alban Gossard P. Weiss MedIm 24 5 0 23 Feb 2022
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography Zhen Guo J. Song George Barbastathis M. Glinsky C. Vaughan K. Larson B. Alpert Z. Levine 20 1 0 15 Nov 2021
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging Ali Hashemi Yijing Gao Chang Cai Sanjay Ghosh Klaus-Robert Muller S. Nagarajan Stefan Haufe 24 7 0 02 Nov 2021
WARPd: A linearly convergent first-order method for inverse problems with approximate sharpness conditions Matthew J. Colbrook 23 2 0 24 Oct 2021
Deep Microlocal Reconstruction for Limited-Angle Tomography Héctor Andrade-Loarca Gitta Kutyniok Ozan Oktem P. Petersen 20 8 0 12 Aug 2021
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry Martin Genzel Jan Macdonald M. März 10 4 0 01 Jun 2021
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem Matthew J. Colbrook Vegard Antun A. Hansen 70 129 0 20 Jan 2021
Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning S. Coban Vladyslav Andriiashen P. Ganguly Maureen van Eijnatten K. Batenburg 13 2 0 24 Dec 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 21 101 0 09 Nov 2020
TorchRadon: Fast Differentiable Routines for Computed Tomography Matteo Ronchetti OOD MedIm 23 63 0 29 Sep 2020
Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium Student Member Ieee Muhammad Usman Ghani F. I. W. Clem Karl 18 16 0 31 Aug 2020
Langevin Cooling for Domain Translation Vignesh Srinivasan Klaus-Robert Muller Wojciech Samek Shinichi Nakajima 41 1 0 31 Aug 2020
A model-guided deep network for limited-angle computed tomography Wei Wang X. Xia Chuanjiang He Zemin Ren Jian Lu Tianfu Wang Baiying Lei 3DV MedIm 13 0 0 10 Aug 2020
A deep primal-dual proximal network for image restoration Mingyuan Jiu N. Pustelnik 16 22 0 02 Jul 2020
Learning the geometry of wave-based imaging K. Kothari Maarten V. de Hoop Ivan Dokmanić AI4CE 16 8 0 10 Jun 2020
Regularization of Inverse Problems by Neural Networks Markus Haltmeier Linh V. Nguyen 18 18 0 06 Jun 2020
Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography T. Bubba Mathilde Galinier Matti Lassas M. Prato Luca Ratti S. Siltanen 6 29 0 02 Jun 2020
On Learned Operator Correction in Inverse Problems Sebastian Lunz A. Hauptmann T. Tarvainen Carola-Bibiane Schönlieb Simon Arridge 6 3 0 14 May 2020
Interval Neural Networks as Instability Detectors for Image Reconstructions Jan Macdonald M. März Luis Oala Wojciech Samek 14 2 0 27 Mar 2020
Interval Neural Networks: Uncertainty Scores Luis Oala Cosmas Heiß Jan Macdonald M. März Wojciech Samek Gitta Kutyniok UQCV 12 25 0 25 Mar 2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods Daniel Otero Baguer Johannes Leuschner Maximilian Schmidt 24 185 0 10 Mar 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 88 387 0 10 Mar 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 architectures for nonlinear operator functions and nonlinear inverse problems Maarten V. de Hoop Matti Lassas C. Wong 17 25 0 23 Dec 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
Approximation spaces of deep neural networks Rémi Gribonval Gitta Kutyniok M. Nielsen Felix Voigtländer 8 124 0 03 May 2019
Extraction of digital wavefront sets using applied harmonic analysis and deep neural networks Héctor Andrade-Loarca Gitta Kutyniok Ozan Oktem P. Petersen 22 15 0 05 Jan 2019