AAPM VL-Deep Learning for Image Reconstruction and Processing

2019 AAPM Annual Meeting - Session: Deep Learning for Image Reconstruction and Processing

Deep CT Image Formation
Marc Kachelriess, PhD DKFZ Heidelberg, FS05

Handout(s):

When you have finished the video, you may watch again, browse/search all videos, go back to the previous page, or watch another video in this session (see below). add this video to a playlist.

All videos in this session:

	Deep Learning Reconstruction Methods for Dosimetry and Acceleration - Jonas Teuwen, Radboud University Medical Center
	Learned Image Reconstruction for High-Resolution Tomographic Imaging - Andreas Hauptmann, University of Oulu

Graph includes 103 member loads and 1227 non-member loads (1330 total loads). Exclude non-member? A load is defined as someone coming to this page, not necesarily that they pressed play, or watched the entire presentation.

AAPM is the American Association of Physicists in Medicine.
1631 Prince Street
Alexandria, VA 22314
Phone 571-298-1300
Fax 571-298-1301 
Send general questions to 2025.aapm@aapm.org

AAPM's Privacy Policy
Use of the site constitutes your acceptance to its terms and conditions.

AAPM is a scientific, educational, and professional nonprofit organization devoted to the discipline of physics in medicine. The information provided in this website is offered for the benefit of its members and the general public, however, AAPM does not independently verify or substantiate the information provided on other websites that may be linked to this site.

AAPM Virtual Library

2019 AAPM Annual Meeting - Session: Deep Learning for Image Reconstruction and Processing