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eess.IV2020
MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT Prostate Segmentation via Online Sampling
Kelei He, Chunfeng Lian, Ehsan Adeli +5
Fully convolutional networks (FCNs), including UNet and VNet, are widely-used network architectures for semantic segmentation in recent studies. However, conventional FCN is typica…
eess.IV2020
Longitudinal Pooling & Consistency Regularization to Model Disease Progression from MRIs
Jiahong Ouyang, Qingyu Zhao, Edith V Sullivan +4
Many neurological diseases are characterized by gradual deterioration of brain structure and function. Large longitudinal MRI datasets have revealed such deterioration, in part, by…