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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)

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Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks., , , , , , , , , and . CoRR, (2017)Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation., , , , , , and . IEEE Trans. Biomed. Eng., 65 (2): 336-343 (2018)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)Adversarial synthesis learning enables segmentation without target modality ground truth., , , , , and . ISBI, page 1217-1220. IEEE, (2018)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)Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy., , , , and . CVPR, page 715-725. IEEE, (2023)Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly., , , , , , and . Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101330A. SPIE, (2017)Whole abdominal wall segmentation using Augmented Active Shape Models (AASM) with multi-atlas label fusion and level set., , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97840U. SPIE, (2016)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)