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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:

Fully automated multiorgan segmentation of female pelvic magnetic resonance images with coarse‐to‐fine convolutional neural network
Fatemeh Zabihollahy, Akila Viswanathan, Ehud J. Schmidt, et al.
Medical Physics (2021) Vol. 48, Iss. 11, pp. 7028-7042
Open Access | Times Cited: 23

Showing 23 citing articles:

Fully automated segmentation of clinical target volume in cervical cancer from magnetic resonance imaging with convolutional neural network
Fatemeh Zabihollahy, Akila Viswanathan, Ehud J. Schmidt, et al.
Journal of Applied Clinical Medical Physics (2022) Vol. 23, Iss. 9
Open Access | Times Cited: 24
A review of artificial intelligence in brachytherapy
Jianhuai Chen, Richard L. J. Qiu, Tonghe Wang, et al.
Journal of Applied Clinical Medical Physics (2025)
Open Access
A deep learning‐based 3D Prompt‐nnUnet model for automatic segmentation in brachytherapy of postoperative endometrial carcinoma
Xian Xue, Dazhu Liang, K. Wang, et al.
Journal of Applied Clinical Medical Physics (2024) Vol. 25, Iss. 7
Open Access | Times Cited: 3
MRI‐Based Artificial Intelligence in Rectal Cancer
Chinting Wong, Yu Fu, Mingyang Li, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 57, Iss. 1, pp. 45-56
Closed Access | Times Cited: 17
Generalizability of deep learning in organ-at-risk segmentation: A transfer learning study in cervical brachytherapy
Ruiyan Ni, Kathy Han, Benjamin Haibe‐Kains, et al.
Radiotherapy and Oncology (2024) Vol. 197, pp. 110332-110332
Closed Access | Times Cited: 2
Deep learning in MRI‐guided radiation therapy: A systematic review
Zach Eidex, Yifu Ding, Jing Wang, et al.
Journal of Applied Clinical Medical Physics (2023) Vol. 25, Iss. 2
Open Access | Times Cited: 6
Generalizable Pancreas Segmentation Modeling in CT Imaging via Meta-Learning and Latent-Space Feature Flow Generation
Jun Li, Tao Chen, Xiaohua Qian
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 1, pp. 374-385
Closed Access | Times Cited: 10
A novel end‐to‐end deep learning solution for coronary artery segmentation from CCTA
Caixia Dong, Songhua Xu, Zongfang Li
Medical Physics (2022) Vol. 49, Iss. 11, pp. 6945-6959
Closed Access | Times Cited: 9
Automatic segmentation of prostate MRI based on 3D pyramid pooling Unet
Yuchun Li, Cong Lin, Yu Zhang, et al.
Medical Physics (2022) Vol. 50, Iss. 2, pp. 906-921
Open Access | Times Cited: 9
Artificial Intelligence and Deep Learning for Brachytherapy
Xun Jia, Kevin Albuquerque
Seminars in Radiation Oncology (2022) Vol. 32, Iss. 4, pp. 389-399
Closed Access | Times Cited: 9
Automated treatment planning framework for brachytherapy of cervical cancer using 3D dose predictions
Karoline Kallis, Lance C. Moore, Katherina G Cortes, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 8, pp. 085011-085011
Open Access | Times Cited: 5
Artificial intelligence applications in brachytherapy: A literature review
J Zhao, Ruiyan Ni, Ronald Chow, et al.
Brachytherapy (2023) Vol. 22, Iss. 4, pp. 429-445
Closed Access | Times Cited: 5
Transformer-based multilevel region and edge aggregation network for magnetic resonance image segmentation
Shao‐Long Chen, Lijie Zhong, Changzhen Qiu, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106427-106427
Closed Access | Times Cited: 8
Squeeze‐and‐excitation‐attention‐based mobile vision transformer for grading recognition of bladder prolapse in pelvic MRI images
Shaojun Zhu, Guotao Chen, Hongguang Chen, et al.
Medical Physics (2024) Vol. 51, Iss. 8, pp. 5236-5249
Closed Access | Times Cited: 1
The use of deep learning in interventional radiotherapy (brachytherapy): A review with a focus on open source and open data
Tobias Fechter, Ilias Sachpazidis, Dimos Baltas
Zeitschrift für Medizinische Physik (2022) Vol. 34, Iss. 2, pp. 180-196
Open Access | Times Cited: 5
An IoT based smart menstrual cup using optimized adaptive CNN model for effective menstrual hygiene management
D. Shiny Irene, S. Indra Priyadharshini, R. Tamizh Kuzhali, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 7, pp. 6705-6722
Closed Access | Times Cited: 4
Comparing multi-image and image augmentation strategies for deep learning-based prostate segmentation
Samuel Fransson
Physics and Imaging in Radiation Oncology (2024) Vol. 29, pp. 100551-100551
Open Access
Cervical cancer segmentation based on medical images: a literature review
Xiu Wang, Chaolu Feng, Mingxu Huang, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 7, pp. 5176-5204
Open Access
Fusion of Color Correction and HSV Segmentation Techniques for Automated Segmentation of Acute Lymphoblastic Leukemia
F. E. Al‐Tahhan, E.Z. Omar
Microscopy Research and Technique (2024)
Open Access
Dual convolution-transformer UNet (DCT-UNet) for organs at risk and clinical target volume segmentation in MRI for cervical cancer brachytherapy
Ga-Young Kim, Akila Viswanathan, Rohini Bhatia, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 21, pp. 215014-215014
Closed Access
Ensemble Learning for Three-dimensional Medical Image Segmentation of Organ at Risk in Brachytherapy Using Double U-Net, Bi-directional ConvLSTM U-Net, and Transformer Network
Soniya Pal, Raj Pal Singh, Anuj Kumar
Journal of Medical Physics (2024) Vol. 49, Iss. 4, pp. 574-582
Open Access
Deep learning-based two-step organs at risk auto-segmentation model for brachytherapy planning in parotid gland carcinoma
Zhenyu Li, Jing-hua Yue, Wei Wang, et al.
Journal of Contemporary Brachytherapy (2022) Vol. 14, Iss. 6, pp. 527-535
Open Access | Times Cited: 2
Decoupled pyramid correlation network for liver tumor segmentation from CT images
Yao Zhang, Jiawei Yang, Yang Liu, et al.
Medical Physics (2022) Vol. 49, Iss. 11, pp. 7207-7221
Open Access | Times Cited: 1
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