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:
The Segment Anything foundation model achieves favorable brain tumor auto-segmentation accuracy in MRI to support radiotherapy treatment planning
Florian Putz, Sogand Beirami, Manuel Schmidt, et al.
Strahlentherapie und Onkologie (2024)
Open Access | Times Cited: 8
Florian Putz, Sogand Beirami, Manuel Schmidt, et al.
Strahlentherapie und Onkologie (2024)
Open Access | Times Cited: 8
Showing 8 citing articles:
Knowledge-guided classification and regression surrogates co-assisted multi-objective soft subspace clustering algorithm
Feng Zhao, Lu Li, Hanqiang Liu
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Feng Zhao, Lu Li, Hanqiang Liu
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
The increasing role of artificial intelligence in radiation oncology: how should we navigate it?
Florian Putz, Rainer Fietkau
Strahlentherapie und Onkologie (2025) Vol. 201, Iss. 3, pp. 207-209
Open Access
Florian Putz, Rainer Fietkau
Strahlentherapie und Onkologie (2025) Vol. 201, Iss. 3, pp. 207-209
Open Access
Gender parity in radiation oncology in Germany: a 2024 analysis of professional roles and academic training
Angela Besserer, Tina Jost, Andrea Wittig, et al.
Strahlentherapie und Onkologie (2025)
Closed Access
Angela Besserer, Tina Jost, Andrea Wittig, et al.
Strahlentherapie und Onkologie (2025)
Closed Access
LeSAM: Adapt Segment Anything Model for Medical Lesion Segmentation
Yunbo Gu, Qianyu Wu, Hui Tang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 6031-6041
Closed Access | Times Cited: 2
Yunbo Gu, Qianyu Wu, Hui Tang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 6031-6041
Closed Access | Times Cited: 2
An Experimental Survey of Incremental Transfer Learning for Multicenter Collaboration
Yixing Huang, Christoph Bert, Ahmed M. Gomaa, et al.
IEEE Access (2024) Vol. 12, pp. 101210-101227
Open Access | Times Cited: 2
Yixing Huang, Christoph Bert, Ahmed M. Gomaa, et al.
IEEE Access (2024) Vol. 12, pp. 101210-101227
Open Access | Times Cited: 2
Repurposing traditional U-Net predictions for sparse SAM prompting in medical image segmentation
Zachery Morton Colbert, Daniel Arrington, Matthew Foote, et al.
Biomedical Physics & Engineering Express (2023) Vol. 10, Iss. 2, pp. 025004-025004
Closed Access | Times Cited: 2
Zachery Morton Colbert, Daniel Arrington, Matthew Foote, et al.
Biomedical Physics & Engineering Express (2023) Vol. 10, Iss. 2, pp. 025004-025004
Closed Access | Times Cited: 2
Cervical‐YOSA: Utilizing prompt engineering and pre‐trained large‐scale models for automated segmentation of multi‐sequence MRI images in cervical cancer
Yanwei Xia, Zhengjie Ou, Lihua Tan, et al.
IET Image Processing (2024) Vol. 18, Iss. 12, pp. 3556-3569
Open Access
Yanwei Xia, Zhengjie Ou, Lihua Tan, et al.
IET Image Processing (2024) Vol. 18, Iss. 12, pp. 3556-3569
Open Access
分割一切模型（SAM）在医学图像分割中的应用
吴曈 Wu Tong, 胡浩基 Hu Haoji, 冯洋 Feng Yang, et al.
Chinese Journal of Lasers (2024) Vol. 51, Iss. 21, pp. 2107102-2107102
Closed Access
吴曈 Wu Tong, 胡浩基 Hu Haoji, 冯洋 Feng Yang, et al.
Chinese Journal of Lasers (2024) Vol. 51, Iss. 21, pp. 2107102-2107102
Closed Access
