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:
Differentiating Glioblastoma Multiforme from Brain Metastases Using Multidimensional Radiomics Features Derived from MRI and Multiple Machine Learning Models
Salar Bijari, Amin Jahanbakhshi, Parham Hajishafiezahramini, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 12
Salar Bijari, Amin Jahanbakhshi, Parham Hajishafiezahramini, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 12
Showing 12 citing articles:
Radiomics and Deep Features: Robust Classification of Brain Hemorrhages and Reproducibility Analysis Using a 3D Autoencoder Neural Network
Salar Bijari, Sahar Sayfollahi, S. Rouhani, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 643-643
Open Access | Times Cited: 18
Salar Bijari, Sahar Sayfollahi, S. Rouhani, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 643-643
Open Access | Times Cited: 18
Radiological artificial intelligence - predicting personalized immunotherapy outcomes in lung cancer
Laila C. Roisman, Waleed Kian, Alaa Anoze, et al.
npj Precision Oncology (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 17
Laila C. Roisman, Waleed Kian, Alaa Anoze, et al.
npj Precision Oncology (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 17
A comprehensive review on machine learning in brain tumor classification: taxonomy, challenges, and future trends
Mohsen Ghorbian, Saeid Ghorbian, Mostafa Ghobaei‐Arani
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106774-106774
Closed Access | Times Cited: 4
Mohsen Ghorbian, Saeid Ghorbian, Mostafa Ghobaei‐Arani
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106774-106774
Closed Access | Times Cited: 4
The clinical implications and interpretability of computational medical imaging (radiomics) in brain tumors
Yixin Wang, Zongtao Hu, Hongzhi Wang
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access
Yixin Wang, Zongtao Hu, Hongzhi Wang
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access
Development and validation of a preoperative magnetic resonance imaging-based and machine learning model for the noninvasive differentiation of intracranial glioblastoma, primary central nervous system lymphoma and brain metastases: a retrospective analysis
Y Q Sun, Junpeng Xu, Dongsheng Kong, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Y Q Sun, Junpeng Xu, Dongsheng Kong, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Impact of Wavelet Kernels on Predictive Capability of Radiomic Features: A Case Study on COVID-19 Chest X-ray Images
Francesco Prinzi, Carmelo Militello, Vincenzo Conti, et al.
Journal of Imaging (2023) Vol. 9, Iss. 2, pp. 32-32
Open Access | Times Cited: 10
Francesco Prinzi, Carmelo Militello, Vincenzo Conti, et al.
Journal of Imaging (2023) Vol. 9, Iss. 2, pp. 32-32
Open Access | Times Cited: 10
RadWise: A Rank-Based Hybrid Feature Weighting and Selection Method for Proteomic Categorization of Chemoirradiation in Patients with Glioblastoma
Erdal Taşçı, Sarisha Jagasia, Ying Zhuge, et al.
Cancers (2023) Vol. 15, Iss. 10, pp. 2672-2672
Open Access | Times Cited: 10
Erdal Taşçı, Sarisha Jagasia, Ying Zhuge, et al.
Cancers (2023) Vol. 15, Iss. 10, pp. 2672-2672
Open Access | Times Cited: 10
One Step Forward—The Current Role of Artificial Intelligence in Glioblastoma Imaging
Costin Chirica, Danisia Haba, Elena Cojocaru, et al.
Life (2023) Vol. 13, Iss. 7, pp. 1561-1561
Open Access | Times Cited: 7
Costin Chirica, Danisia Haba, Elena Cojocaru, et al.
Life (2023) Vol. 13, Iss. 7, pp. 1561-1561
Open Access | Times Cited: 7
A Comprehensive Review of the Impact of Machine Learning and Omics on Rare Neurological Diseases
Nofe Alganmi
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 1329-1347
Open Access | Times Cited: 2
Nofe Alganmi
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 1329-1347
Open Access | Times Cited: 2
The first case of glioma detected by an artificial intelligence algorithm running on real-time data in neurosurgery: illustrative case
Alperen Sözer, Alp Özgün Börcek, Şeref Sağıroğlu, et al.
Journal of Neurosurgery Case Lessons (2023) Vol. 5, Iss. 19
Open Access | Times Cited: 2
Alperen Sözer, Alp Özgün Börcek, Şeref Sağıroğlu, et al.
Journal of Neurosurgery Case Lessons (2023) Vol. 5, Iss. 19
Open Access | Times Cited: 2
Multiscale and Auto-Tuned Semi-Supervised Deep Subspace Clustering and Its Application in Brain Tumor Clustering
Zhenyu Qian, Yizhang Jiang, Hong Zhou, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 3, pp. 4741-4762
Open Access
Zhenyu Qian, Yizhang Jiang, Hong Zhou, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 3, pp. 4741-4762
Open Access
Ensemble learning-based radiomics model for discriminating brain metastasis from glioblastoma
Qi Zeng, Fangxu Jia, Shengming Tang, et al.
European Journal of Radiology (2024) Vol. 183, pp. 111900-111900
Open Access
Qi Zeng, Fangxu Jia, Shengming Tang, et al.
European Journal of Radiology (2024) Vol. 183, pp. 111900-111900
Open Access
Quantitative Physiologic MRI Combined with Feature Engineering for Developing Machine Learning-Based Prediction Models to Distinguish Glioblastomas from Single Brain Metastases
Seyyed Ali Hosseini, Stijn Servaes, Brandon Hall, et al.
Diagnostics (2024) Vol. 15, Iss. 1, pp. 38-38
Open Access
Seyyed Ali Hosseini, Stijn Servaes, Brandon Hall, et al.
Diagnostics (2024) Vol. 15, Iss. 1, pp. 38-38
Open Access
