Date

2022-Feb-06
Expired!

Medical Image Reconstruction and Analysis

Abstract:

The aim of this session is to guide the audience through the medical imaging pipeline – from acquisition and reconstruction to analysis – with a little help from AI. The talks will cover different image modalities, and focus on inverse problems in medical image reconstruction, motion estimation and motion correction. As image quality and accurate diagnostic assessment are key for the applicability of AI-based solutions in the medical context, the talks cover these aspects and provide insights into the uncertainty of AI-based algorithms in image reconstruction and analysis.

Organisers: Kerstin Hammernik (Chair) & Julia Schnabel (Committee member)

Session Schedule

8:00 - 8:20 Invited talk
Kerstin Hammernik
8:20 - 8:40 Invited talk
Andreas Hauptmann
8:40 - 9:00 Invited talk
Thomas Küstner
9:00 - 9:20 Invited talk
Daniel Alexander
9:20 - 9:40 Invited talk
Ender Konukoglu
9:40 - 11:00 Invited poster
Reinhard Heckel
9:40 - 11:00 Committee member poster
Julia Schnabel
9:40 - 11:00 Contributed poster
Chaithya Giliyar Radhakrishna
9:40 - 11:00 Contributed poster
Valentin Debarnot
9:40 - 11:00 Contributed poster
Charles Millard