Open Access Helper

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:

Automated Bone Tumor Segmentation and Classification as Benign or Malignant Using Computed Tomographic Imaging
İlkay Yıldız Potter, Diana Yeritsyan, Sarah Mahar, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 869-878
Closed Access | Times Cited: 10

Showing 10 citing articles:

Recent trend in medical imaging modalities and their applications in disease diagnosis: a review
Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 43035-43070
Closed Access | Times Cited: 37
Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion
Laith Alzubaidi, Khamael Al-Dulaimi, Asma Salhi, et al.
Artificial Intelligence in Medicine (2024) Vol. 155, pp. 102935-102935
Open Access | Times Cited: 10
Bone tumor boundary demarcation based on multimodal image fusion
R. Shang, Jiaming Dong, Xinhuai Wang
(2025), pp. 134-134
Closed Access
Diagnosis and treatment status of inoperable locally advanced breast cancer and the application value of inorganic nanomaterials
Linxuan Wu, Chuan He, Tingting Zhao, et al.
Journal of Nanobiotechnology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 2
Deep learning image segmentation approaches for malignant bone lesions: a systematic review and meta-analysis
Joseph M. Rich, Lokesh Bhardwaj, Aman Shah, et al.
Frontiers in Radiology (2023) Vol. 3
Open Access | Times Cited: 4
Advancing musculoskeletal tumor diagnosis: Automated segmentation and predictive classification using deep learning and radiomics
Shuo Wang, Man Sun, Jinglai Sun, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108502-108502
Closed Access | Times Cited: 1
Recent Advances in Medical Image Classification
Loan Dao, Ngoc Quoc Ly
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 7
Open Access | Times Cited: 1
Deep learning–based diagnostic models for bone lesions: is current research ready for clinical translation?
Jingyu Zhong
European Radiology (2024) Vol. 34, Iss. 7, pp. 4284-4286
Open Access
Automated Texture Feature Based Bone Tumor Segmentation and Image Analysis Using Supervised Machine Learning
Esha Baidya Kayal, Kabir Chhabra, Devasenathipathy Kandasamy, et al.
(2024), pp. 1-5
Closed Access
Automatic segmentation of femoral tumors by nnU-net
Oren Rachmil, Moran Artzi, Moshe Iluz, et al.
Clinical Biomechanics (2024) Vol. 116, pp. 106265-106265
Closed Access
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