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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:

Automatic Vertebral Body Segmentation Based on Deep Learning of Dixon Images for Bone Marrow Fat Fraction Quantification
Jiamin Zhou, Pablo F. Damasceno, Ravi Chachad, et al.
Frontiers in Endocrinology (2020) Vol. 11
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data Imputation
Jiang Liu, Srivathsa Pasumarthi, Ben A. Duffy, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 9, pp. 2577-2591
Open Access | Times Cited: 49
Artificial Intelligence and Computer Vision in Low Back Pain: A Systematic Review
Federico D’Antoni, Fabrizio Russo, Luca Ambrosio, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 20, pp. 10909-10909
Open Access | Times Cited: 56
Current development and prospects of deep learning in spine image analysis: a literature review
Biao Qu, Jianpeng Cao, Chen Qian, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 6, pp. 3454-3479
Open Access | Times Cited: 29
Deep Learning-Based Medical Images Segmentation of Musculoskeletal Anatomical Structures: A Survey of Bottlenecks and Strategies
Lorenza Bonaldi, Andrea Pretto, Carmelo Pirri, et al.
Bioengineering (2023) Vol. 10, Iss. 2, pp. 137-137
Open Access | Times Cited: 16
Cracking the Chronic Pain code: A scoping review of Artificial Intelligence in Chronic Pain research
Md Asif Khan, Ryan G. L. Koh, Sajjad Rashidiani, et al.
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102849-102849
Open Access | Times Cited: 5
Deep Learning Model for Grading and Localization of Lumbar Disc Herniation on Magnetic Resonance Imaging
Yefu Xu, S. J. Zheng, Qingyi Tian, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access | Times Cited: 5
The contributions of cartilage endplate composition and vertebral bone marrow fat to intervertebral disc degeneration in patients with chronic low back pain
Noah B. Bonnheim, Linshanshan Wang, Ann A. Lazar, et al.
European Spine Journal (2022) Vol. 31, Iss. 7, pp. 1866-1872
Open Access | Times Cited: 26
A study on early diagnosis for fracture non-union prediction using deep learning and bone morphometric parameters
Hui Yu, Qi Mu, Zhi Wang, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Fully automated radiomic screening pipeline for osteoporosis and abnormal bone density with a deep learning-based segmentation using a short lumbar mDixon sequence
Yinxia Zhao, Tianyun Zhao, Shenglan Chen, et al.
Quantitative Imaging in Medicine and Surgery (2021) Vol. 12, Iss. 2, pp. 1198-1213
Open Access | Times Cited: 31
Detection of sarcopenia using deep learning-based artificial intelligence body part measure system (AIBMS)
Shangzhi Gu, Lixue Wang, Rong Han, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 11
Deep-learning-based biomarker of spinal cartilage endplate health using ultra-short echo time magnetic resonance imaging
Noah B. Bonnheim, Linshanshan Wang, Ann A. Lazar, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 5, pp. 2807-2821
Open Access | Times Cited: 10
Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation
Tomaž Vrtovec, Bulat Ibragimov
European Spine Journal (2022) Vol. 31, Iss. 8, pp. 2031-2045
Closed Access | Times Cited: 15
Federated learning-based vertebral body segmentation
Junxiu Liu, Xiuhao Liang, Rixing Yang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105451-105451
Closed Access | Times Cited: 14
Deep Learning for Multi-Tissue Segmentation and Fully Automatic Personalized Biomechanical Models from BACPAC Clinical Lumbar Spine MRI
Madeline Hess, Brett Allaire, Kenneth T. Gao, et al.
Pain Medicine (2022) Vol. 24, Iss. Supplement_1, pp. S139-S148
Open Access | Times Cited: 14
Texture Analysis Using CT and Chemical Shift Encoding-Based Water-Fat MRI Can Improve Differentiation Between Patients With and Without Osteoporotic Vertebral Fractures
Nico Sollmann, Edoardo A. Becherucci, Christof Boehm, et al.
Frontiers in Endocrinology (2022) Vol. 12
Open Access | Times Cited: 12
A State-of-the-Art Survey of Deep Learning for Lumbar Spine Image Analysis: X-Ray, CT, and MRI
Ruyi Zhang
AI medicine. (2024), pp. 3-3
Closed Access | Times Cited: 2
The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications
Caroline Constant, Carl‐Éric Aubin, Hilal Maradit Kremers, et al.
North American Spine Society Journal (NASSJ) (2023) Vol. 15, pp. 100236-100236
Open Access | Times Cited: 5
Multi-scanner and multi-modal lumbar vertebral body and intervertebral disc segmentation database
Yasmina Al Khalil, Edoardo A. Becherucci, Jan S. Kirschke, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 8
A novel deep learning method for large-scale analysis of bone marrow adiposity using UK Biobank Dixon MRI data
David M. Morris, Chengjia Wang, Giorgos Papanastasiou, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 24, pp. 89-104
Open Access | Times Cited: 4
Handling Imbalance and Limited Data in Thyroid Ultrasound and Diabetic Retinopathy Datasets Using Discrete Levy Flights Grey Wolf Optimizer Based Random Forest for Robust Medical Data Classification
Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra
ACM Transactions on Asian and Low-Resource Language Information Processing (2024)
Open Access | Times Cited: 1
Multi-modal Modality-masked Diffusion Network for Brain MRI Synthesis with Random Modality Missing
X Meng, Kaicong Sun, Jun Xu, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 7, pp. 2587-2598
Closed Access | Times Cited: 1
Automatic segmentation model of intercondylar fossa based on deep learning: a novel and effective assessment method for the notch volume
Mifang Li, Hanhua Bai, Feiyuan Zhang, et al.
BMC Musculoskeletal Disorders (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 5
Automated shape-independent assessment of the spatial distribution of proton density fat fraction in vertebral bone marrow
Tobias Haueise, Norbert Stefan, Tim J. Schulz, et al.
Zeitschrift für Medizinische Physik (2023) Vol. 34, Iss. 3, pp. 436-445
Open Access | Times Cited: 2
Integrating Deep Learning and Radiomics for Osteoporosis Screening in Elderly Population using Lumbar CT
Lezhen Jiang, Yi Wang, Hong Wu, et al.
Research Square (Research Square) (2024)
Closed Access
Machine-agnostic automated lumbar MRI segmentation using a cascaded model based on generative neurons
Promit Basak, Rusab Sarmun, Saidul Kabir, et al.
Expert Systems with Applications (2024) Vol. 264, pp. 125862-125862
Open Access
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