most citedMIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

133 citations

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eess.IV2021★ 33 cited

Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation

Lucas Fidon, Michael Aertsen, Doaa Emam +9

Deep neural networks have increased the accuracy of automatic segmentation, however, their accuracy depends on the availability of a large number of fully segmented images. Methods…

eess.IV2020★ 32 cited

Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices

Guotai Wang, Michael Aertsen, Jan Deprest +3

Segmentation of the fetal brain from stacks of motion-corrupted fetal MRI slices is important for motion correction and high-resolution volume reconstruction. Although Convolutiona…