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OpenAlex Citation Counts

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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:

Combining natural and artificial intelligence for robust automatic anatomy segmentation: Application in neck and thorax auto‐contouring
Jayaram K. Udupa, Tiange Liu, Chao Jin, et al.
Medical Physics (2022) Vol. 49, Iss. 11, pp. 7118-7149
Open Access | Times Cited: 19

Showing 19 citing articles:

HaN‐Seg: The head and neck organ‐at‐risk CT and MR segmentation dataset
Gašper Podobnik, Primož Strojan, Primož Peterlin, et al.
Medical Physics (2023) Vol. 50, Iss. 3, pp. 1917-1927
Open Access | Times Cited: 28
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
Addressing challenges in low-income and middle-income countries through novel radiotherapy research opportunities
May Abdel‐Wahab, C. Norman Coleman, Jesper Grau Eriksen, et al.
The Lancet Oncology (2024) Vol. 25, Iss. 6, pp. e270-e280
Closed Access | Times Cited: 5
NRG Oncology Assessment of Artificial Intelligence Deep Learning–Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions
Yi Rong, Quan Chen, Yabo Fu, et al.
International Journal of Radiation Oncology*Biology*Physics (2023) Vol. 119, Iss. 1, pp. 261-280
Closed Access | Times Cited: 15
vOARiability: Interobserver and intermodality variability analysis in OAR contouring from head and neck CT and MR images
Gašper Podobnik, Bulat Ibragimov, Primož Peterlin, et al.
Medical Physics (2024) Vol. 51, Iss. 3, pp. 2175-2186
Open Access | Times Cited: 4
Prediction of Radiation Therapy Induced Cardiovascular Toxicity from Pretreatment CT Images in Patients with Thoracic Malignancy via an Optimal Biomarker Approach
Misty Long, Mostafa Alnoury, Jayaram K. Udupa, et al.
Academic Radiology (2025)
Closed 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
Auto-segmentation of thoraco-abdominal organs in free breathing pediatric dynamic MRI
Yusuf Akhtar, Jayaram K. Udupa, Yubing Tong, et al.
(2023), pp. 26-26
Closed Access | Times Cited: 7
Fully automated volumetric modulated arc therapy planning for locally advanced rectal cancer: feasibility and efficiency
Kouta Hirotaki, Kento Tomizawa, Shunsuke Moriya, et al.
Radiation Oncology (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 3
GA-Net: A geographical attention neural network for the segmentation of body torso tissue composition
Jian Dai, Tiange Liu, Drew A. Torigian, et al.
Medical Image Analysis (2023) Vol. 91, pp. 102987-102987
Open Access | Times Cited: 3
Mendability Index: a new metric for estimating the effort required for manually editing auto-segmentations of objects of interest
Da He, Jayaram K. Udupa, Yubing Tong, et al.
(2023), pp. 3-3
Open Access | Times Cited: 2
Optimal strategies for modeling anatomy in a hybrid intelligence framework for auto-segmentation of organs
You K. Hao, Jayaram K. Udupa, Yubing Tong, et al.
(2024), pp. 38-38
Open Access
Anatomic attention regions via optimal anatomy modeling and recognition for DL-based image segmentation
Yadavendra Nln, Jayaram K. Udupa, Dewey Odhner, et al.
(2024) Vol. 86, pp. 70-70
Open Access
Predicting human effort needed to correct auto-segmentations
Da He, Jayaram K. Udupa, Yubing Tong, et al.
(2024) Vol. 12469, pp. 13-13
Open Access
Predicting the effort required to manually mend auto-segmentations
Da He, Jayaram K. Udupa, Yubing Tong, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
An Anthropomorphic Diagnosis System of Pulmonary Nodules using Weak Annotation-Based Deep Learning
Lipeng Xie, Yongrui Xu, Mingfeng Zheng, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 118, pp. 102438-102438
Open Access
Estimating normal metabolic activity for disease quantification via PET/CT images
Jieyu Li, Jayaram K. Udupa, Yubing Tong, et al.
(2023), pp. 17-17
Open Access
A Small Intestinal Stromal Tumor Detection Method Based on an Attention Balance Feature Pyramid
Fei Xie, Jianguo Ju, Tongtong Zhang, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9723-9723
Open Access
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