most citedHandling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study

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eess.IV2019★ 2 cited

Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study

Endre Grøvik, Darvin Yi, Michael Iv +9

The purpose was to assess the clinical value of a novel DropOut model for detecting and segmenting brain metastases, in which a neural network is trained on four distinct MRI seque…

eess.IV2019

Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI

Endre Grøvik, Darvin Yi, Michael Iv +3

Detecting and segmenting brain metastases is a tedious and time-consuming task for many radiologists, particularly with the growing use of multi-sequence 3D imaging. This study dem…