51 citations · 249 across the 14 of their papers we have counts for
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eess.IV2019★ 9 cited
3D U-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation
Chao Huang, Hu Han, Qingsong Yao +2
Fully convolutional neural networks like U-Net have been the state-of-the-art methods in medical image segmentation. Practically, a network is highly specialized and trained separa…
eess.IV2019★ 21 cited
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction
Wei-An Lin, Haofu Liao, Cheng Peng +5
Computed tomography (CT) is an imaging modality widely used for medical diagnosis and treatment. CT images are often corrupted by undesirable artifacts when metallic implants are c…