📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Approximate k-Space Models and Deep Learning for Fast Photoacoustic Reconstruction

First Author: Hauptmann A

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-030-00129-2_12

Publication URI: http://dx.doi.org/10.1007/978-3-030-00129-2_12

Type: Book Chapter

Book Title: Machine Learning for Medical Image Reconstruction - First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings (2018)

Page Reference: 103-111