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

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

31 August 2017

Sebastien Ourselin

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

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Title
Regularization by architecture: A deep prior approach for inverse problems Sören Dittmer T. Kluth Peter Maass Daniel Otero Baguer 95 98 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 67 64 0 30 Nov 2018
Networks for Nonlinear Diffusion Problems in Imaging Simon Arridge A. Hauptmann DiffM MedIm 70 18 0 29 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 164 136 0 12 Nov 2018
Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction Dufan Wu Kyungsang Kim Quanzheng Li 43 43 0 05 Oct 2018
A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound Micha Feigin-Almon Daniel Freedman B. Anthony SyDa MedIm 150 86 0 30 Sep 2018
Fully Dense UNet for 2D Sparse Photoacoustic Tomography Artifact Removal Steven Guan Amir A. Khan S. Sikdar P. Chitnis 74 416 0 31 Aug 2018
Task adapted reconstruction for inverse problems J. Adler Sebastian Lunz Olivier Verdier Carola-Bibiane Schönlieb Ozan Oktem 75 43 0 27 Aug 2018
Approximate k-space models and Deep Learning for fast photoacoustic reconstruction A. Hauptmann B. Cox F. Lucka N. Huynh M. Betcke P. Beard Simon Arridge 44 42 0 09 Jul 2018
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks S. Hamilton A. Hauptmann 91 256 0 08 Nov 2017
Context encoding enables machine learning-based quantitative photoacoustics Thomas Kirchner J. Gröhl Lena Maier-Hein 40 62 0 12 Jun 2017