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Nested-block self-attention for robust radiotherapy planning segmentation
Although deep convolutional networks have been widely studied for head a...
02/26/2021 ∙ by Harini Veeraraghavan, et al. ∙
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Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation
Despite the widespread availability of in-treatment room cone beam compu...
02/17/2021 ∙ by Jue Jiang, et al. ∙
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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...
07/19/2020 ∙ by Jue Jiang, et al. ∙
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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...
07/18/2020 ∙ by Jue Jiang, et al. ∙
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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...
05/27/2020 ∙ by Hyemin Um, et al. ∙
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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...
09/11/2019 ∙ by Jue Jiang, et al. ∙
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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...
09/10/2019 ∙ by Jue Jiang, et al. ∙
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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...
02/01/2019 ∙ by Peter Klages, et al. ∙
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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 ...
01/31/2019 ∙ by Jue Jiang, et al. ∙
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