63 citations · 98 across the 8 of their papers we have counts for
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cs.CV2020★ 2 cited
Unsupervised deep clustering for predictive texture pattern discovery in medical images
Matthias Perkonigg, Daniel Sobotka, Ahmed Ba-Ssalamah +1
Predictive marker patterns in imaging data are a means to quantify disease and progression, but their identification is challenging, if the underlying biology is poorly understood.…
physics.med-ph2020
Quantifying Residual Motion Artifacts in Fetal fMRI Data
Athena Taymourtash, Ernst Schwartz, Karl-Heinz Nenning +5
Fetal functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful tool for investigating brain development in utero, holding promise for generating developmental disease…