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10/25/2022
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT
Method: ProRSeg was trained using 5-fold cross-validation with 110 T2-we...
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05/20/2022
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)
Vision transformers, with their ability to more efficiently model long-r...
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01/26/2022
One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs
Image-guided adaptive lung radiotherapy requires accurate tumor and orga...
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07/16/2021
Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation
Accurate and robust segmentation of lung cancers from CTs is needed to m...
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06/16/2021
Deformation Driven Seq2Seq Longitudinal Tumor and Organs-at-Risk Prediction for Radiotherapy
Purpose: Radiotherapy presents unique challenges and clinical requiremen...
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02/26/2021
Nested-block self-attention for robust radiotherapy planning segmentation
Although deep convolutional networks have been widely studied for head a...
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02/17/2021
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...
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07/19/2020
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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07/18/2020
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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05/27/2020
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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09/11/2019
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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09/10/2019
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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02/01/2019
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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01/31/2019