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20222026
most citedExtreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge

5 citations · 7 across the 15 of their papers we have counts for

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2 papers · 1 filter

eess.IV2022

Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation

Amin Ranem, John Kalkhof, Caner Özer +2

While machine learning approaches perform well on their training domain, they generally tend to fail in a real-world application. In cardiovascular magnetic resonance imaging (CMR)…

eess.IV2022

Disentanglement enables cross-domain Hippocampus Segmentation

John Kalkhof, Camila González, Anirban Mukhopadhyay

Limited amount of labelled training data are a common problem in medical imaging. This makes it difficult to train a well-generalised model and therefore often leads to failure in…