30 citations · 41 across the 2 of their papers we have counts for
2 papers
eess.IV2020★ 30 cited
DR-Unet104 for Multimodal MRI brain tumor segmentation
Jordan Colman, Lei Zhang, Wenting Duan +1
In this paper we propose a 2D deep residual Unet with 104 convolutional layers (DR-Unet104) for lesion segmentation in brain MRIs. We make multiple additions to the Unet architectu…
cs.CV2017★ 11 cited
Multimodal MRI brain tumor segmentation using random forests with features learned from fully convolutional neural network
Mohammadreza Soltaninejad, Lei Zhang, Tryphon Lambrou +2
In this paper, we propose a novel learning based method for automated segmenta-tion of brain tumor in multimodal MRI images. The machine learned features from fully convolutional n…