OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction
Huidong Li, Xingchen Peng, Jie Zeng, et al.
Knowledge-Based Systems (2022) Vol. 241, pp. 108324-108324
Closed Access | Times Cited: 37
Huidong Li, Xingchen Peng, Jie Zeng, et al.
Knowledge-Based Systems (2022) Vol. 241, pp. 108324-108324
Closed Access | Times Cited: 37
Showing 26-50 of 37 citing articles:
Precision dose prediction for breast cancer patients undergoing IMRT: The Swin-UMamba-Channel Model
Hui Xie, Hua Zhang, Zijie Chen, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 116, pp. 102409-102409
Closed Access | Times Cited: 1
Hui Xie, Hua Zhang, Zijie Chen, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 116, pp. 102409-102409
Closed Access | Times Cited: 1
CT-Only Radiotherapy: An Exploratory Study for Automatic Dose Prediction on Rectal Cancer Patients Via Deep Adversarial Network
Jiaqi Cui, Zhengyang Jiao, Zhigong Wei, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 6
Jiaqi Cui, Zhengyang Jiao, Zhigong Wei, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 6
ARANet: Attention-based Residual Adversarial Network with Deep Supervision for Radiotherapy Dose Prediction of Cervical Cancer
Lu Wen, Wenxia Yin, Zhenghao Feng, et al.
(2024), pp. 520-525
Closed Access
Lu Wen, Wenxia Yin, Zhenghao Feng, et al.
(2024), pp. 520-525
Closed Access
Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images
Leizi Li, Jingchun Yu, Yijin Li, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access
Leizi Li, Jingchun Yu, Yijin Li, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access
Deep learning‐based dose prediction for magnetic resonance‐guided prostate radiotherapy
Samuel Fransson, Robin Strand, David Tilly
Medical Physics (2024) Vol. 51, Iss. 11, pp. 8087-8095
Open Access
Samuel Fransson, Robin Strand, David Tilly
Medical Physics (2024) Vol. 51, Iss. 11, pp. 8087-8095
Open Access
FA-Net: A hierarchical feature fusion and interactive attention-based network for dose prediction in liver cancer patients
Miao Liao, Shuanhu Di, Yuqian Zhao, et al.
Artificial Intelligence in Medicine (2024) Vol. 156, pp. 102961-102961
Closed Access
Miao Liao, Shuanhu Di, Yuqian Zhao, et al.
Artificial Intelligence in Medicine (2024) Vol. 156, pp. 102961-102961
Closed Access
Deep evidential learning for radiotherapy dose prediction
H.S. Tan, Kuancheng Wang, Rafe McBeth
Computers in Biology and Medicine (2024) Vol. 182, pp. 109172-109172
Closed Access
H.S. Tan, Kuancheng Wang, Rafe McBeth
Computers in Biology and Medicine (2024) Vol. 182, pp. 109172-109172
Closed Access
Anatomical prior-based vertebral landmark detection for spinal disorder diagnosis
Yukang Yang, Yu Wang, Tianyu Liu, et al.
Artificial Intelligence in Medicine (2024) Vol. 159, pp. 103011-103011
Closed Access
Yukang Yang, Yu Wang, Tianyu Liu, et al.
Artificial Intelligence in Medicine (2024) Vol. 159, pp. 103011-103011
Closed Access
Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction
Jie Zeng, Chongyang Cao, Xingchen Peng, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2022) Vol. 38, pp. 1-5
Closed Access | Times Cited: 2
Jie Zeng, Chongyang Cao, Xingchen Peng, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2022) Vol. 38, pp. 1-5
Closed Access | Times Cited: 2
Mask-Free Radiotherapy Dose Prediction via Multi-Task Learning
Zhengyang Jiao, Xingchen Peng, Jianghong Xiao, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2022) Vol. 38, pp. 1-5
Closed Access | Times Cited: 1
Zhengyang Jiao, Xingchen Peng, Jianghong Xiao, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2022) Vol. 38, pp. 1-5
Closed Access | Times Cited: 1
Polymerized Feature-Based Domain Adaptation for Cervical Cancer Dose Map Prediction
Jie Zeng, Zeyu Han, Xingchen Peng, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-4
Open Access
Jie Zeng, Zeyu Han, Xingchen Peng, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-4
Open Access
Precise Fluence Map Prediction for Intensity-Modulated Radiation Therapy by Leveraging nmODE
Xiangjie Tan, Hao Niu, Junjie Hu, et al.
(2023), pp. 596-602
Closed Access
Xiangjie Tan, Hao Niu, Junjie Hu, et al.
(2023), pp. 596-602
Closed Access
Three-dimensional dose prediction based on deep convolutional neural networks for brain cancer in CyberKnife: accurate beam modelling of homogeneous tissue
Yuchao Miao, Ruigang Ge, Chuanbin Xie, et al.
BJR|Open (2023) Vol. 6, Iss. 1
Open Access
Yuchao Miao, Ruigang Ge, Chuanbin Xie, et al.
BJR|Open (2023) Vol. 6, Iss. 1
Open Access
