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20192026
most citedDetection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space

2 citations · 11 across the 22 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.CV2023

Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI segmentation

Josh Stein, Maxime Di Folco, Julia A. Schnabel

The Segment Anything Model (SAM) has recently emerged as a significant breakthrough in foundation models, demonstrating remarkable zero-shot performance in object segmentation task…

eess.IV2023

Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification

Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel

Interpretability is essential in medical imaging to ensure that clinicians can comprehend and trust artificial intelligence models. In this paper, we propose a novel interpretable…