Model based learning for accelerated, limited-view 3D photoacoustic
tomography

Model based learning for accelerated, limited-view 3D photoacoustic tomography

31 August 2017

Sebastien Ourselin

Papers citing "Model based learning for accelerated, limited-view 3D photoacoustic tomography"

14 / 14 papers shown

Title
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping Xiaojian Xu Weijie Gan Satya V. V. N. Kothapalli D. Yablonskiy Ulugbek S. Kamilov MedIm 74 5 0 21 Feb 2025
Inverse Problems with Learned Forward Operators Simon Arridge Andreas Hauptmann Yury Korolev 31 1 0 21 Nov 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems Weijie Gan S. Shoushtari Yuyang Hu Jiaming Liu Hongyu An Ulugbek S. Kamilov 20 11 0 22 May 2023
Cross-domain Self-supervised Framework for Photoacoustic Computed Tomography Image Reconstruction Hengrong Lan Lijie Huang Zhiqiang Li Jing Lv Jianwen Luo ViT OOD 24 1 0 17 Jan 2023
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks A. Kofler Christian Wald T. Schaeffter Markus Haltmeier C. Kolbitsch 19 1 0 04 Mar 2022
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction Riccardo Barbano Johannes Leuschner Maximilian Schmidt Alexander Denker A. Hauptmann Peter Maass Bangti Jin 34 19 0 23 Nov 2021
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems William Herzberg D. Rowe A. Hauptmann S. Hamilton GNN MedIm AI4CE 16 33 0 28 Mar 2021
Limited View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning Steven Guan Amir A. Khan S. Sikdar P. Chitnis 19 92 0 11 Nov 2019
Multi-Scale Learned Iterative Reconstruction A. Hauptmann J. Adler Simon Arridge Ozan Oktem 28 37 0 01 Aug 2019
A Projectional Ansatz to Reconstruction Sören Dittmer Peter Maass 14 3 0 10 Jul 2019
Regularization by architecture: A deep prior approach for inverse problems Sören Dittmer T. Kluth Peter Maass Daniel Otero Baguer 21 97 0 10 Dec 2018
Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT) S. Hamilton A. Hänninen A. Hauptmann V. Kolehmainen 19 63 0 30 Nov 2018
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography T. Bubba Gitta Kutyniok Matti Lassas M. März Wojciech Samek S. Siltanen Vignesh Srinivasan 21 136 0 12 Nov 2018
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks S. Hamilton A. Hauptmann 43 253 0 08 Nov 2017