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:
Site‐agnostic 3D dose distribution prediction with deep learning neural networks
Maryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal, et al.
Medical Physics (2022) Vol. 49, Iss. 3, pp. 1391-1406
Open Access | Times Cited: 17
Maryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal, et al.
Medical Physics (2022) Vol. 49, Iss. 3, pp. 1391-1406
Open Access | Times Cited: 17
Showing 17 citing articles:
Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency
Ana María Barragán Montero, Adrien Bibal, Margerie Huet Dastarac, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 11, pp. 11TR01-11TR01
Open Access | Times Cited: 49
Ana María Barragán Montero, Adrien Bibal, Margerie Huet Dastarac, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 11, pp. 11TR01-11TR01
Open Access | Times Cited: 49
A review of dose prediction methods for tumor radiation therapy
Xiaoyan Kui, Fang Liu, Min Yang, et al.
Meta-Radiology (2024) Vol. 2, Iss. 1, pp. 100057-100057
Open Access | Times Cited: 9
Xiaoyan Kui, Fang Liu, Min Yang, et al.
Meta-Radiology (2024) Vol. 2, Iss. 1, pp. 100057-100057
Open Access | Times Cited: 9
Evaluating machine learning enhanced intelligent‐optimization‐engine (IOE) performance for ethos head‐and‐neck (HN) plan generation
Justin Visak, Enobong Inam, Boyu Meng, et al.
Journal of Applied Clinical Medical Physics (2023) Vol. 24, Iss. 7
Open Access | Times Cited: 15
Justin Visak, Enobong Inam, Boyu Meng, et al.
Journal of Applied Clinical Medical Physics (2023) Vol. 24, Iss. 7
Open Access | Times Cited: 15
Deep learning-based prediction of Monte Carlo dose distribution for heavy ion therapy
Rui He, Hui Zhang, Jian Wang, et al.
Physics and Imaging in Radiation Oncology (2025) Vol. 34, pp. 100735-100735
Open Access
Rui He, Hui Zhang, Jian Wang, et al.
Physics and Imaging in Radiation Oncology (2025) Vol. 34, pp. 100735-100735
Open Access
Artificial intelligence guided physician directive improves head and neck planning quality and practice Uniformity: A prospective study
Maryam Mashayekhi, Rafe McBeth, Dan Nguyen, et al.
Clinical and Translational Radiation Oncology (2023) Vol. 40, pp. 100616-100616
Open Access | Times Cited: 11
Maryam Mashayekhi, Rafe McBeth, Dan Nguyen, et al.
Clinical and Translational Radiation Oncology (2023) Vol. 40, pp. 100616-100616
Open Access | Times Cited: 11
TransDose: a transformer-based UNet model for fast and accurate dose calculation for MR-LINACs
Fan Xiao, Jiajun Cai, Xuanru Zhou, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 12, pp. 125013-125013
Closed Access | Times Cited: 13
Fan Xiao, Jiajun Cai, Xuanru Zhou, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 12, pp. 125013-125013
Closed Access | Times Cited: 13
A cascade transformer-based model for 3D dose distribution prediction in head and neck cancer radiotherapy
Tara Gheshlaghi, Shahabedin Nabavi, Samireh Shirzadikia, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 4, pp. 045010-045010
Open Access | Times Cited: 2
Tara Gheshlaghi, Shahabedin Nabavi, Samireh Shirzadikia, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 4, pp. 045010-045010
Open Access | Times Cited: 2
Evaluation of an automated clinical decision system with deep learning dose prediction and NTCP model for prostate cancer proton therapy
Mei Chen, Bo Pang, Y. Zeng, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 11, pp. 115056-115056
Closed Access | Times Cited: 2
Mei Chen, Bo Pang, Y. Zeng, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 11, pp. 115056-115056
Closed Access | Times Cited: 2
PRT-Net: a progressive refinement transformer for dose prediction to guide ovarian transposition
Shunyao Luan, Yi Ding, Changchao Wei, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
Shunyao Luan, Yi Ding, Changchao Wei, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
Dose distribution prediction for head-and-neck cancer radiotherapy using a generative adversarial network: influence of input data
Xiaojin Gu, Victor I. J. Strijbis, Ben J. Slotman, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 6
Xiaojin Gu, Victor I. J. Strijbis, Ben J. Slotman, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 6
A deep-learning-based dose verification tool utilizing fluence maps for a cobalt-60 compensator-based intensity-modulated radiation therapy system
Kyuhak Oh, Mary Gronberg, Tucker Netherton, et al.
Physics and Imaging in Radiation Oncology (2023) Vol. 26, pp. 100440-100440
Open Access | Times Cited: 5
Kyuhak Oh, Mary Gronberg, Tucker Netherton, et al.
Physics and Imaging in Radiation Oncology (2023) Vol. 26, pp. 100440-100440
Open Access | Times Cited: 5
Robust deep learning-based forward dose calculations for VMAT on the 1.5T MR-linac
Georgios Tsekas, G.H. Bol, B.W. Raaymakers
Physics in Medicine and Biology (2022) Vol. 67, Iss. 22, pp. 225020-225020
Open Access | Times Cited: 8
Georgios Tsekas, G.H. Bol, B.W. Raaymakers
Physics in Medicine and Biology (2022) Vol. 67, Iss. 22, pp. 225020-225020
Open Access | Times Cited: 8
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
Neural network dose prediction for cervical brachytherapy: Overcoming data scarcity for applicator‐specific models
Lance C. Moore, Fritz Ahern, Lingyi Li, et al.
Medical Physics (2024) Vol. 51, Iss. 7, pp. 4591-4606
Closed Access
Lance C. Moore, Fritz Ahern, Lingyi Li, et al.
Medical Physics (2024) Vol. 51, Iss. 7, pp. 4591-4606
Closed Access
Deformable dose prediction network based on hybrid 2D and 3D convolution for nasopharyngeal carcinoma radiotherapy
Yanhua Liu, Wang Luo, Xiangchen Li, et al.
Medical & Biological Engineering & Computing (2024)
Closed Access
Yanhua Liu, Wang Luo, Xiangchen Li, et al.
Medical & Biological Engineering & Computing (2024)
Closed Access
Automatic dose prediction using deep learning and plan optimization with finite‐element control for intensity modulated radiation therapy
Yichao Shen, Xingni Tang, Sara Lin, et al.
Medical Physics (2023) Vol. 51, Iss. 1, pp. 545-555
Closed Access | Times Cited: 1
Yichao Shen, Xingni Tang, Sara Lin, et al.
Medical Physics (2023) Vol. 51, Iss. 1, pp. 545-555
Closed Access | Times Cited: 1
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
