Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives
Ayhan Can Erdur, Daniel Rusche, Daniel Scholz, et al.
Strahlentherapie und Onkologie (2024)
Open Access | Times Cited: 11

Showing 11 citing articles:

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
Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology
Yihao Hou, Christoph Bert, Ahmed M. Gomaa, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Einsatz der künstlichen Intelligenz in der Diagnostik und Therapie solider Tumoren
Jan C. Peeken, Jakob Nikolas Kather
Deleted Journal (2025)
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
Evaluating auto‐contouring accuracy in reduced CT dose images for radiopharmaceutical therapies: Denoising and evaluation of 177Lu DOTATATE therapy dataset
Hao Yang, Kuan‐Yin Ko, Ching‐Ching Yang
Journal of Applied Clinical Medical Physics (2025)
Open Access
Performance of Commercial Deep Learning-Based Auto-Segmentation Software for Prostate Cancer Radiation Therapy Planning: A Systematic Review
Curtise K. C. Ng
Information (2025) Vol. 16, Iss. 3, pp. 215-215
Open Access
Opportunities for Artificial Intelligence in Oncology: From the Lens of Clinicians and Patients
Krunal Pandav, Sahar Almahfouz Nasser, Kristen H. Kimball, et al.
JCO Oncology Practice (2025)
Closed Access
Contouring in transition: perceptions of AI-based autocontouring by radiation oncologists and medical physicists in German-speaking countries
Samuel Vorbach, Florian Putz, Ute Ganswindt, et al.
Strahlentherapie und Onkologie (2025)
Open Access
Reirradiation for recurrent glioblastoma: the significance of the residual tumor volume
Sina Mansoorian, Manuel Schmidt, Thomas Weißmann, et al.
Journal of Neuro-Oncology (2025)
Open Access
Development of heart-sparing VMAT radiotherapy technique incorporating heart substructures for advanced NSCLC patients
Linda Agolli, Ann-Katrin Exeli, Uwe Schneider, et al.
Radiation Oncology (2025) Vol. 20, Iss. 1
Open Access
Clinical feasibility of Ethos auto-segmentation for adaptive whole-breast cancer treatment
Jessica Prunaretty, F. Mekki, Pierre-Ivan Laurent, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Institution-Specific Autosegmentation for Personalized Radiotherapy Protocols
Wonyoung Cho, Gyu Sang Yoo, Won Dong Kim, et al.
Progress in Medical Physics (2024) Vol. 35, Iss. 4, pp. 205-213
Open Access | Times Cited: 1
Active heart sparing VMAT planning radiotherapy in patients with central/large locally advanced NSCLC: contouring heart substructures matters!
Linda Agolli, Ann-Katrin Exeli, Uwe Schneider, et al.
Research Square (Research Square) (2024)
Open Access
Page 1

Scroll to top