Cardiac Segmentation

Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use?

We propose a comprehensive comparison between the current best performing methods in medical/echocardiographic image segmentation, with a particular focus on temporal consistency …

Hang Jung Ling

• Jun 16, 2023 • 1 min read

Deep Learning

Echocardiography Segmentation With Enforced Temporal Consistency

In this paper, we propose a framework to learn the 2D+time apical long-axis cardiac shape such that the segmented sequences can benefit from temporal and anatomical consistency …

Nathan Painchaud

• May 9, 2022 • 1 min read

Neural Networks

Cardiac Segmentation With Strong Anatomical Guarantees

In this paper, we present a framework for producing cardiac image segmentation maps that are guaranteed to respect pre-defined anatomical criteria, while remaining within the …

Nathan Painchaud

• Jun 17, 2020 • 1 min read