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Jue Jiang

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

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* This paper has been early accepted by MICCAI 2022

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One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs

Jan 26, 2022
Jue Jiang, Harini Veeraraghavan

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* This manuscript is currently under minor revision at IEEE Transactions on Medical Imaging

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Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation

Jul 16, 2021
Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan

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* This manuscript is current under review at IEEE Transactions on Medical Imaging

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Deformation Driven Seq2Seq Longitudinal Tumor and Organs-at-Risk Prediction for Radiotherapy

Jun 18, 2021
Donghoon Lee, Sadegh R Alam, Jue Jiang, Pengpeng Zhang, Saad Nadeem, Yu-Chi Hu

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* Medical Physics 2021, Saad Nadeem and Yu-Chi Hu contributed equally

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Nested-block self-attention for robust radiotherapy planning segmentation

Feb 26, 2021
Harini Veeraraghavan, Jue Jiang, Sharif Elguindi, Sean L. Berry, Ifeanyirochukwu Onochie, Aditya Apte, Laura Cervino, Joseph O. Deasy

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* Under review at Medical Image Analysis

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Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation

Jul 19, 2020
Jue Jiang, Harini Veeraraghavan

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* MICCAI 2020
* This paper has been accepted by MICCAI2020

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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

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

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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

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* MIDL 2020 short paper

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