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:
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
Showing 5 citing articles:
Knowledge-based versus deep learning based treatment planning for breast radiotherapy
Daniel Portik, E. Clementel, Jérôme Krayenbühl, et al.
Physics and Imaging in Radiation Oncology (2024) Vol. 29, pp. 100539-100539
Open Access | Times Cited: 4
Daniel Portik, E. Clementel, Jérôme Krayenbühl, et al.
Physics and Imaging in Radiation Oncology (2024) Vol. 29, pp. 100539-100539
Open Access | Times Cited: 4
Artificial intelligence (AI) applications in improvement of IMRT and VMAT radiotherapy treatment planning processes: A systematic review
M Zadnorouzi, Seyed Mohammad Mahdi Abtahi
Radiography (2024) Vol. 30, Iss. 6, pp. 1530-1535
Closed Access | Times Cited: 3
M Zadnorouzi, Seyed Mohammad Mahdi Abtahi
Radiography (2024) Vol. 30, Iss. 6, pp. 1530-1535
Closed Access | Times Cited: 3
A deep learning based dynamic arc radiotherapy photon dose engine trained on Monte Carlo dose distributions
Marnix G. Witte, Jan‐Jakob Sonke
Physics and Imaging in Radiation Oncology (2024) Vol. 30, pp. 100575-100575
Open Access | Times Cited: 2
Marnix G. Witte, Jan‐Jakob Sonke
Physics and Imaging in Radiation Oncology (2024) Vol. 30, pp. 100575-100575
Open Access | Times Cited: 2
Exploring the impact of network depth on 3D U-Net-based dose prediction for cervical cancer radiotherapy
Mingqing Wang, Yuxi Pan, Xile Zhang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Mingqing Wang, Yuxi Pan, Xile Zhang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Quality assurance for online adaptive radiotherapy: A secondary dose verification model with Geometry-Encoded U-Net
Shunyu Yan, Austen Maniscalco, Biling Wang, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 4, pp. 045013-045013
Open Access
Shunyu Yan, Austen Maniscalco, Biling Wang, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 4, pp. 045013-045013
Open Access
