131 citations
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Showing 2020Show all
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eess.IV2020
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients
Zhen Yuan, Esther Puyol-Anton, Haran Jogeesvaran +3
Sickle Cell Disease (SCD) is one of the most common genetic diseases in the world. Splenomegaly (abnormal enlargement of the spleen) is frequent among children with SCD. If left un…
eess.IV2020★ 48 cited
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control
Esther Puyol Anton, Bram Ruijsink, Christian F. Baumgartner +4
Tissue characterisation with CMR parametric mapping has the potential to detect and quantify both focal and diffuse alterations in myocardial structure not assessable by late gadol…