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Efficient abdominal segmentation on clinically acquired CT with SIMPLE context learning.

, , , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94130L. SPIE, (2015)

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Shape-constrained multi-atlas segmentation of spleen in CT., , , , , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 903446. SPIE, (2014)Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data., , , , , , , , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 698-705. Springer, (2018)Multi-atlas segmentation for abdominal organs with Gaussian mixture models., , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 941707. SPIE, (2015)UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation., , , , , , , , , and 5 other author(s). CoRR, (2022)Adversarial synthesis learning enables segmentation without target modality ground truth., , , , , and . ISBI, page 1217-1220. IEEE, (2018)Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation., , , , , , and . IEEE Trans. Biomed. Eng., 65 (2): 336-343 (2018)Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy., , , , and . CVPR, page 715-725. IEEE, (2023)Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks., , , , , , , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 1057409. SPIE, (2018)COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training., , , , , , , and . IEEE Trans. Medical Imaging, 43 (5): 1995-2009 (May 2024)COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation., , , , , , , , and . MICCAI (2), volume 14221 of Lecture Notes in Computer Science, page 25-34. Springer, (2023)