Approximate k-space models and Deep Learning for fast photoacoustic reconstruction

9 July 2018

Papers citing "Approximate k-space models and Deep Learning for fast photoacoustic reconstruction"

6 / 6 papers shown

Title
Domain independent post-processing with graph U-nets: Applications to Electrical Impedance Tomographic Imaging William Herzberg A. Hauptmann S. Hamilton AI4CE 31 11 0 08 May 2023
Deep Learning in Photoacoustic Tomography: Current approaches and future directions A. Hauptmann B. Cox 126 131 0 16 Sep 2020
Deep learning for photoacoustic imaging: a survey Changchun Yang Hengrong Lan Feng Gao Fei Gao VLM MedIm 59 21 0 10 Aug 2020
Limited View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning Steven Guan Amir A. Khan S. Sikdar P. Chitnis 52 93 0 11 Nov 2019
Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo Hengrong Lan Daohuai Jiang Changchun Yang Fei Gao 38 19 0 02 Aug 2019
Multi-Scale Learned Iterative Reconstruction A. Hauptmann J. Adler Simon Arridge Ozan Oktem 108 37 0 01 Aug 2019