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3D Left Ventricular Segmentation from 2D Cardiac MR Images Using Spatial Context.

, , , , and . STACOM@MICCAI, volume 12009 of Lecture Notes in Computer Science, page 90-99. Springer, (2019)

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Quantitative evaluation of MRI-based tracking of ferritin-labeled endogenous neural stem cell progeny in rodent brain., , , , , , , , , and 1 other author(s). NeuroImage, 62 (1): 367-380 (2012)Robust Model-Based Registration of Cardiac MR Images for T1 and ECV Mapping., , , , , , and . FIMH, volume 10263 of Lecture Notes in Computer Science, page 42-50. Springer, (2017)Robust motion correction for cardiac T1 and ECV mapping using a T1 relaxation model approach., , , , , , and . Medical Image Anal., (2019)3D Left Ventricular Segmentation from 2D Cardiac MR Images Using Spatial Context., , , , and . STACOM@MICCAI, volume 12009 of Lecture Notes in Computer Science, page 90-99. Springer, (2019)Impact of RF inhomogeneity correction on image registration of micro MRI rodent brain images., , , , , , and . ISBI, page 570-573. IEEE, (2011)Model order selection for quantification of a multi-exponential magnetic resonance spectrum., , , , , , , , and . EMBC, page 1299-1302. IEEE, (2006)Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters., , , , and . M&Ms and EMIDEC/STACOM@MICCAI, volume 12592 of Lecture Notes in Computer Science, page 127-136. Springer, (2020)