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SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth., , , , , , , , and . CoRR, (2018)Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks., , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 38 (5): 1185-1196 (2019)Time-distanced gates in long short-term memory networks., , , , , , , , , and 2 other author(s). Medical Image Anal., (2020)High-resolution 3D abdominal segmentation with random patch network fusion., , , , , , , , , and 4 other author(s). Medical Image Anal., (2021)Towards Portable Large-Scale Image Processing with High-Performance Computing., , , , , , , , , and 5 other author(s). J. Digit. Imaging, 31 (3): 304-314 (2018)Multi-path x-D recurrent neural networks for collaborative image classification., , , , , , , , , and 1 other author(s). Neurocomputing, (2020)Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization., , , , , , , , , and 1 other author(s). CoRR, (2023)RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior., , , , , and . CoRR, (2020)Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation., , , , , , , , , and . CoRR, (2022)Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging., , , , , , , , , and 6 other author(s). CoRR, (2023)