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PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation.

, , , , , , , and . IEEE Trans. Medical Imaging, 39 (12): 4071-4084 (2020)

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Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT., , , , , , and . CoRR, (2022)PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation., , , , , , , and . IEEE Trans. Medical Imaging, 39 (12): 4071-4084 (2020)Comparison of Patch-Based Conditional Generative Adversarial Neural Net Models with Emphasis on Model Robustness for Use in Head and Neck Cases for MR-Only planning., , , , , , , and . CoRR, (2019)Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets., , , , , , and . CoRR, (2019)Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation., , , , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 221-229. Springer, (2019)Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation., , , , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 777-785. Springer, (2018)Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT)., , , , and . MICCAI (4), volume 13434 of Lecture Notes in Computer Science, page 556-566. Springer, (2022)