Deep learning-based quantitative image analysis for detecting coronary artery stenosis, calcification, and vulnerable plaque in coronary computed tomography angiography

Back

ESC Professional Premium Access

Deep learning-based quantitative image analysis for detecting coronary artery stenosis, calcification, and vulnerable plaque in coronary computed tomography angiography

Session: Coronary computed tomography angiography: stenosis, plaque analysis or something else?

Topic: Coronary Computed Tomography Angiography (Coronary CTA, CCTA)

Speaker: Assistant Professor D. Kim (Daejeon, KR)

Event: ESC Congress 2023

Congress Presentation

Add to my library

About the speaker

Assistant Professor Dae-Won Kim

Daejeon St. Mary's Hospital, Daejeon (Korea (Republic of))

0 follower

8 more presentations in this session

Choosing between coronary CT angiography and functional tests in patients with suspected coronary artery disease: mind the (gender) gap

Speaker: Miss M. Paiva (Lisbon, PT)

The natural history and prediction of 10-year plaque progression on serial coronary CT angiography

Speaker: Mr N. Nurmohamed (Amsterdam, NL)

Access

Abstract

Slides

Incremental prognostic value of coronary plaque features on CT angiography in symptomatic patients with obstructive CAD

Speaker: Doctor E. Gall (Paris, FR)

Effects of stenotic lesion morphology on trans-lesional computed tomography derived fractional flow reserve (FFRCT) changes

Speaker: Doctor T. Tsugu (Jette, BE)

Access

Abstract

Slides

Real world impact of added FFR-CT to coronary CT angiography on clinical decision-making and patient prognosis

Speaker: Miss L. Becker (Nieuwegein, NL)

Access the full session

Coronary computed tomography angiography: stenosis, plaque analysis or something else?

Speakers: Assistant Professor D. Kim, Miss M. Paiva, Mr N. Nurmohamed, Doctor E. Gall, Doctor T. Tsugu...

Access

About the event

ESC Congress 2023

25 August - 28 August 2023

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources