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Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention.

, , , , , and . ISBI, page 385-389. IEEE, (2020)

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Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention., , , , , and . ISBI, page 385-389. IEEE, (2020)A Multi-Organ Nucleus Segmentation Challenge., , , , , , , , , and 77 other author(s). IEEE Trans. Medical Imaging, 39 (5): 1380-1391 (2020)Open-Vocabulary Scene Text Recognition via Pseudo-Image Labeling and Margin Loss., , and . CoRR, (2024)Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation., , , , , , , and . IEEE Trans. Image Process., (2020)Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph., , , , , , , , , and 1 other author(s). IEEE J. Biomed. Health Informatics, 23 (5): 2030-2038 (2019)mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography., , , , , , , and . CoRR, (2020)Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization., , , , and . MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 1-8. Springer, (2019)Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization., , , and . CoRR, (2019)Semantic instance segmentation with discriminative deep supervision for medical images., , , , , , , , , and . Medical Image Anal., (2022)Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks., , , , , , , , and . Medical Image Anal., (2019)