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Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation
Our contribution is a unified cross-modality feature disentagling approa...
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PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation
We developed a new joint probabilistic segmentation and image distributi...
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Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT
We implemented and evaluated a multiple resolution residual network (MRR...
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Local block-wise self attention for normal organ segmentation
We developed a new and computationally simple local block-wise self atte...
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Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation
Lung tumors, especially those located close to or surrounded by soft tis...
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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
A total of twenty paired CT and MR images were used in this study to inv...
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Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets
Lack of large expert annotated MR datasets makes training deep learning ...
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Jue Jiang
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