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2021 QIMS special issue: AI Image-guided Radiation Therapy

已有 884 次阅读 2022-7-22 10:28 |系统分类:论文交流

https://qims.amegroups.com/issue/view/1118


2021 special issue:  (Artificial Intelligence for Image-guided Radiation Therapy)1

Original Article

Artificial intelligence-based bone-enhanced magnetic resonance image—a computed tomography/magnetic resonance image composite image modality in nasopharyngeal carcinoma radiotherapy

Liming Song, Yafen Li, Guoya Dong, Ricardo Lambo, Wenjian Qin, Yuenan Wang, Guangwei Zhang, Jing Liu, Yaoqin Xie

PDF Pages: 4709-4720

Prior information guided auto-contouring of breast gland for deformable image registration in postoperative breast cancer radiotherapy

Xin Xie, Yuchun Song, Feng Ye, Hui Yan, Shulian Wang, Xinming Zhao, Jianrong Dai

PDF Pages: 4721-4730

Predicting radiation pneumonitis with fuzzy clustering neural network using 4DCT ventilation image based dosimetric parameters

Peng Huang, Hui Yan, Zhihui Hu, Zhiqiang Liu, Yuan Tian, Jianrong Dai

PDF Pages: 4731-4741

Utilizing pre-determined beam orientation information in dose prediction by 3D fully-connected network for intensity modulated radiotherapy

Hui Yan, Shoulin Liu, Jingjing Zhang, Jianfei Liu, Teng Li

PDF Pages: 4742-4752

MRI classification using semantic random forest with auto-context model

Yang Lei, Tonghe Wang, Xue Dong, Sibo Tian, Yingzi Liu, Hui Mao, Walter J. Curran, Hui-Kuo Shu, Tian Liu, Xiaofeng Yang

PDF Pages: 4753-4766

Prior image-guided cone-beam computed tomography augmentation from under-sampled projections using a convolutional neural network

Zhuoran Jiang, Zeyu Zhang, Yushi Chang, Yun Ge, Fang-Fang Yin, Lei Ren

PDF Pages: 4767-4780

Exploratory ensemble interpretable model for predicting local failure in head and neck cancer: the additive benefit of CT and intra-treatment cone-beam computed tomography features

Howard E. Morgan, Kai Wang, Michael Dohopolski, Xiao Liang, Michael R. Folkert, David J. Sher, Jing Wang

PDF Pages: 4781-4796

A data-driven approach to optimal beam/arc angle selection for liver stereotactic body radiation therapy treatment planning

Yang Sheng, Taoran Li, Yaorong Ge, Hui Lin, Wentao Wang, Lulin Yuan, Q. Jackie Wu

PDF Pages: 4797-4806

Deep learning-based bone suppression in chest radiographs using CT-derived features: a feasibility study

Ge Ren, Haonan Xiao, Sai-Kit Lam, Dongrong Yang, Tian Li, Xinzhi Teng, Jing Qin, Jing Cai

PDF Pages: 4807-4819

CBCT-based synthetic CT generation using generative adversarial networks with disentangled representation

Jiwei Liu, Hui Yan, Hanlin Cheng, Jianfei Liu, Pengjian Sun, Boyi Wang, Ronghu Mao, Chi Du, Shengquan Luo

PDF Pages: 4820-4834

Assessing the robustness of artificial intelligence powered planning tools in radiotherapy clinical settings—a phantom simulation approach

Martin Hito, Wentao Wang, Hunter Stephens, Yibo Xie, Ruilin Li, Fang-Fang Yin, Yaorong Ge, Q. Jackie Wu, Qiuwen Wu, Yang Sheng

PDF Pages: 4835-4846

Review Article

Deep learning for automatic target volume segmentation in radiation therapy: a review

Hui Lin, Haonan Xiao, Lei Dong, Kevin Boon-Keng Teo, Wei Zou, Jing Cai, Taoran Li

PDF Pages: 4847-4858

Artificial intelligence applications in intensity modulated radiation treatment planning: an overview

Yang Sheng, Jiahan Zhang, Yaorong Ge, Xinyi Li, Wentao Wang, Hunter Stephens, Fang-Fang Yin, Qiuwen Wu, Q. Jackie Wu

PDF Pages: 4859-4880

Artificial intelligence in image-guided radiotherapy: a review of treatment target localization

Wei Zhao, Liyue Shen, Md Tauhidul Islam, Wenjian Qin, Zhicheng Zhang, Xiaokun Liang, Gaolong Zhang, Shouping Xu, Xiaomeng Li

PDF Pages: 4881-4894

A review of deep learning-based three-dimensional medical image registration methods

Haonan Xiao, Xinzhi Teng, Chenyang Liu, Tian Li, Ge Ren, Ruijie Yang, Dinggang Shen, Jing Cai

PDF Pages: 4895-4916




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