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:

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

Showing 1-25 of 28 citing articles:

Segment anything model for medical images?
Yuhao Huang, Xin Yang, Lian Liu, et al.
Medical Image Analysis (2023) Vol. 92, pp. 103061-103061
Open Access | Times Cited: 182

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
Xiangde Luo, Jia Fu, Yunxin Zhong, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103447-103447
Open Access | Times Cited: 1

HaN-Seg: The head and neck organ-at-risk CT and MR segmentation challenge
Gašper Podobnik, Bulat Ibragimov, Elias Tappeiner, et al.
Radiotherapy and Oncology (2024) Vol. 198, pp. 110410-110410
Open Access | Times Cited: 10

Towards more precise automatic analysis: a systematic review of deep learning-based multi-organ segmentation
Xiaoyu Liu, Linhao Qu, Ziyue Xie, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 8

A systematic review of the role of artificial intelligence in automating computed tomography-based adaptive radiotherapy for head and neck cancer
E. Mastella, Francesca Calderoni, Luigi Manco, et al.
Physics and Imaging in Radiation Oncology (2025) Vol. 33, pp. 100731-100731
Open Access

Rep-MedSAM: Towards Real-Time and Universal Medical Image Segmentation
Mu-Xin Wei, Shuqing Chen, Silin Wu, et al.
Lecture notes in computer science (2025), pp. 57-69
Closed Access

Towards fully automatized [177Lu]Lu-PSMA personalized dosimetry based on 360° CZT whole-body SPECT/CT: a proof-of-concept
Arnaud Dieudonné, A. Terro, Arthur Dumouchel, et al.
EJNMMI Physics (2025) Vol. 12, Iss. 1
Open Access

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

ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
Hallee E. Wong, Marianne Rakic, John V. Guttag, et al.
Lecture notes in computer science (2024), pp. 207-229
Closed Access | Times Cited: 4

Automatic segmentation of MRI images for brain radiotherapy planning using deep ensemble learning
SA Yoganathan, Tarraf Torfeh, Satheesh Paloor, et al.
Biomedical Physics & Engineering Express (2025) Vol. 11, Iss. 2, pp. 025007-025007
Closed Access

Generiranje sintetičnih CT slik iz MR slik področja glave in vratu z uporabo difuzijskih modelov
Rok Marko Šter, Gašper Podobnik, Tomaž Vrtovec
(2025), pp. 41-54
Closed Access

Transfer learning for auto‐segmentation of 17 organs‐at‐risk in the head and neck: Bridging the gap between institutional and public datasets
Brett W. Clark, Nicholas Hardcastle, Leigh A. Johnston, et al.
Medical Physics (2024) Vol. 51, Iss. 7, pp. 4767-4777
Open Access | Times Cited: 3

Towards Automation in Radiotherapy Planning: A Deep Learning Approach for the Delineation of Parotid Glands in Head and Neck Cancer
Iοannis Kakkos, Theodoros P. Vagenas, Anna Zygogianni, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 214-214
Open Access | Times Cited: 3

Essential parameters needed for a U-Net-based segmentation of individual bones on planning CT images in the head & neck region using limited datasets for radiotherapy application
Ama Katseena Yawson, Alexandra Walter, Nora Wolf, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 3, pp. 035008-035008
Open Access | Times Cited: 2

Segmentation of 71 Anatomical Structures Necessary for the Evaluation of Guideline-Conforming Clinical Target Volumes in Head and Neck Cancers
Alexandra Walter, Philipp Hoegen-Saßmannshausen, Goran Stanic, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 415-415
Open Access | Times Cited: 1

SegReg: Segmenting OARs by Registering MR Images and CT Annotations
Zeyu Zhang, Xuyin Qi, Bowen Zhang, et al.
(2024), pp. 1-5
Open Access | Times Cited: 1

Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images
Xi Ouyang, Dongdong Gu, Xuejian Li, et al.
Lecture notes in computer science (2024), pp. 522-532
Closed Access | Times Cited: 1

Towards a general computed tomography image segmentation model for anatomical structures and lesions
Xi Ouyang, Dongdong Gu, Xuejian Li, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1

Assessing the documentation of publicly available medical image and signal datasets and their impact on bias using the BEAMRAD tool
Maria Galanty, Dieuwertje Luitse, Sijm H. Noteboom, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk
Gašper Podobnik, Primož Strojan, Primož Peterlin, et al.
Lecture notes in computer science (2023), pp. 745-755
Closed Access | Times Cited: 4

Geometric and dosimetric analysis of CT- and MR-based automatic contouring for the EPTN contouring atlas in neuro-oncology
Femke Vaassen, Catharina M.L. Zegers, David Hofstede, et al.
Physica Medica (2023) Vol. 114, pp. 103156-103156
Open Access | Times Cited: 2

Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information
Hee Guan Khor, Xin Yang, Yihua Sun, et al.
Lecture notes in computer science (2024), pp. 659-669
Closed Access

TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields
Ashish Sinha, Ghassan Hamarneh
Lecture notes in computer science (2024), pp. 344-354
Closed Access

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