Longitudinal Segmentation of Parotid Gland Changes From MRI Through Unsupervised Cross-Modality Deep Learning Through Structure-Specific Appearance Constraints

Jiang J.; Um H.; Hu Y.; Tyagi N.; Wang C.; Lee N.; Deasy J.; Berry S.; Veeraraghavan H.

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Longitudinal Segmentation of Parotid Gland Changes From MRI Through Unsupervised Cross-Modality Deep Learning Through Structure-Specific Appearance Constraints

机译：通过结构特定的外观限制，通过无监督的跨模型深度学习从MRI改变腮腺的纵向细分

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《Medical Physics 》 |2019年第6期| 共1页
作者
Jiang J.; Um H.; Hu Y.; Tyagi N.; Wang C.; Lee N.; Deasy J.; Berry S.; Veeraraghavan H.;
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Mem Sloan Kettering Canc Ctr 1275 York Ave New York NY 10021 USA;

Mem Sloan Kettering Canc Ctr 1275 York Ave New York NY 10021 USA;

Mem Sloan Kettering Canc Ctr 1275 York Ave New York NY 10021 USA;

Mem Sloan Kettering Canc Ctr 1275 York Ave New York NY 10021 USA;

Mem Sloan Kettering Canc Ctr 1275 York Ave New York NY 10021 USA;

Mem Sloan Kettering Canc Ctr 1275 York Ave New York NY 10021 USA;

Mem Sloan Kettering Canc Ctr 1275 York Ave New York NY 10021 USA;

Mem Sloan Kettering Canc Ctr 1275 York Ave New York NY 10021 USA;

Mem Sloan Kettering Canc Ctr 1275 York Ave New York NY 10021 USA;

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正文语种 eng
中图分类基础医学 ;
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1. Longitudinal Segmentation of Parotid Gland Changes From MRI Through Unsupervised Cross-Modality Deep Learning Through Structure-Specific Appearance Constraints [J] . Jiang J., Um H., Hu Y., Medical Physics . 2019 ,第6期

机译：通过结构特定的外观限制，通过无监督的跨模型深度学习从MRI改变腮腺的纵向细分
2. Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets [J] . Jiang Jue, Hu Yu-Chi, Tyagi Neelam, Medical Physics . 2019 ,第10期

机译：来自小MR Datasets的鲁棒肺肿瘤分割的跨态度（CT-MRI）的增强深入学习
3. Self-Attention Based Deep Learning Probabilistic Parotid Gland Segmentation Quality Evaluation Using Dose Volume Histogram Analysis [J] . Berry S., Jiang J., Elguindi S., Medical Physics . 2019 ,第6期

机译：基于自我关注的深度学习概率腮腺分割质量评价使用剂量体积直方图分析
4. Longitudinal Prediction of Radiation-Induced Anatomical Changes of Parotid Glands During Radiotherapy Using Deep Learning [C] . Donghoon Lee, Sadegh Alam, Saad Nadeem, International Workshop on Predictive Intelligence in Medicine;International Conference on Medical Image Computing and Computer Assisted Intervention . 2020

机译：深深学习在放疗过程中辐射诱导腮腺诱导的解剖学变化的纵向预测
5. A Hybrid Deep Learning Approach for Time Series Prediction based on Unsupervised Feature Learning [D] . Agana, Norbert Ayine. 2018

机译：基于无监督特征学习的混合深度学习时间序列预测方法
6. Automated Segmentation of the Parotid Gland Based on Atlas Registration and Machine Learning: A Longitudinal MRI Study in Head-and-Neck Radiation Therapy [O] . Xiaofeng Yang, Ning Wu, Guanghui Cheng, -1

机译：基于Atlas配准和机器学习的腮腺自动分割：纵向MRI在头颈部放射治疗中的研究
7. Automated Segmentation of the Parotid Gland Based on Atlas Registration and Machine Learning: A Longitudinal MRI Study in Head-and-Neck Radiation Therapy [O] . Xiaofeng Yang, Ning Wu, Guanghui Cheng, 2014

机译：基于阿特拉斯登记和机器学习的腮腺自动分割：头颈放射治疗中的纵向MRI研究

Longitudinal Segmentation of Parotid Gland Changes From MRI Through Unsupervised Cross-Modality Deep Learning Through Structure-Specific Appearance Constraints

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