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Jue Jiang

Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT

May 31, 2020
Hyemin Um, Jue Jiang, Maria Thor, Andreas Rimner, Leo Luo, Joseph O. Deasy, Harini Veeraraghavan

Figure 1 for Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT

Figure 2 for Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT

* MIDL 2020 short paper

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Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation

Sep 10, 2019
Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan

Figure 1 for Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation

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* This paper has been accepted by MICCAI 2019

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Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets

Feb 27, 2019
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan

Figure 1 for Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets

Figure 2 for Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets

Figure 3 for Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets

Figure 4 for Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets

* Submitted to Medical Physics

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