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Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT


Oct 25, 2022
Jue Jiang, Jun Hong, Kathryn Tringale, Marsha Reyngold, Christopher Crane, Neelam Tyagi, Harini Veeraraghavan

* This manuscript is currently under review at Medical Physics 

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Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)


May 20, 2022
Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan

* This paper has been early accepted by MICCAI 2022 

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PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation


Jul 18, 2020
Jue Jiang, Yu Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan

* IEEE Transactions on Medical Imaging, 2020 
* This paper has been accepted by IEEE Transactions on Medical Imaging 

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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

* 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

* Submitted to Medical Physics 

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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


Feb 27, 2019
Peter Klages, Ilyes Benslimane, Sadegh Riyahi, Jue Jiang, Margie Hunt, Joe Deasy, Harini Veeraraghavan, Neelam Tyagi

* submitted to PMB 

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