AAPM VL-Recent Advances in X-ray CT - from Ultra-high Resolution Imaging to AI Reconstruction

2021 AAPM Virtual 63rd Annual Meeting - Session: Recent Advances in X-ray CT - from Ultra-high Resolution Imaging to AI Reconstruction

Machine Learning for Low-Dose CT Reconstruction
Saiprasad Ravishankar Michigan State University

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:

	High-Resolution Whole-Body CT: The Next Generation of CT? - John Boone, PhD UC Davis Medical Center
	Patient-Specific CT Dose Estimation - Taly Schmidt Marquette University
	CT and Dual-Energy CT in Assessment of Pulmonary Function - Eric Hoffman University Of Iowa
	Q&A - Wojciech Zbijewski Johns Hopkins University

Graph includes 35 member loads and 375 non-member loads (410 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 2023.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

2021 AAPM Virtual 63rd Annual Meeting - Session: Recent Advances in X-ray CT - from Ultra-high Resolution Imaging to AI Reconstruction