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:
Predicting Survival in Patients with Brain Tumors: Current State-of-the-Art of AI Methods Applied to MRI
Christian di Noia, James T. Grist, Frank Riemer, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2125-2125
Open Access | Times Cited: 12
Christian di Noia, James T. Grist, Frank Riemer, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2125-2125
Open Access | Times Cited: 12
Showing 12 citing articles:
An Exploratory Review of Machine Learning and Deep Learning Applications in Healthcare Management
Narasimha Rao Vajjhala, Philip Eappen
Springer proceedings in mathematics & statistics (2025), pp. 315-324
Closed Access | Times Cited: 1
Narasimha Rao Vajjhala, Philip Eappen
Springer proceedings in mathematics & statistics (2025), pp. 315-324
Closed Access | Times Cited: 1
Prediction of Survival of Glioblastoma Patients Using Local Spatial Relationships and Global Structure Awareness in FLAIR MRI Brain Images
Minh-Trieu Tran, Hyung-Jeong Yang, Soo-Hyung Kim, et al.
IEEE Access (2023) Vol. 11, pp. 37437-37449
Open Access | Times Cited: 13
Minh-Trieu Tran, Hyung-Jeong Yang, Soo-Hyung Kim, et al.
IEEE Access (2023) Vol. 11, pp. 37437-37449
Open Access | Times Cited: 13
Integrating multi-modal imaging in radiation treatments for glioblastoma
William G. Breen, Madhava Aryal, Yue Cao, et al.
Neuro-Oncology (2024) Vol. 26, Iss. Supplement_1, pp. S17-S25
Open Access | Times Cited: 5
William G. Breen, Madhava Aryal, Yue Cao, et al.
Neuro-Oncology (2024) Vol. 26, Iss. Supplement_1, pp. S17-S25
Open Access | Times Cited: 5
Multimodal Deep Learning Improves Recurrence Risk Prediction in Pediatric Low-Grade Gliomas
Maryamalsadat Mahootiha, Divyanshu Tak, Zezhong Ye, et al.
Neuro-Oncology (2024) Vol. 27, Iss. 1, pp. 277-290
Open Access | Times Cited: 5
Maryamalsadat Mahootiha, Divyanshu Tak, Zezhong Ye, et al.
Neuro-Oncology (2024) Vol. 27, Iss. 1, pp. 277-290
Open Access | Times Cited: 5
Predicting survival in malignant glioma using artificial intelligence
Wireko Andrew Awuah, Adam Ben-Jaafar, Subham Roy, et al.
European journal of medical research (2025) Vol. 30, Iss. 1
Open Access
Wireko Andrew Awuah, Adam Ben-Jaafar, Subham Roy, et al.
European journal of medical research (2025) Vol. 30, Iss. 1
Open Access
Integrative approach of omics and imaging data to discover new insights for understanding brain diseases
Jong Hyuk Yoon, Hagyeong Lee, Dayoung Kwon, et al.
Brain Communications (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 3
Jong Hyuk Yoon, Hagyeong Lee, Dayoung Kwon, et al.
Brain Communications (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 3
Classification of Brain Tumors Using Hybrid Feature Extraction Based on Modified Deep Learning Techniques
Tawfeeq Shawly, Ahmed A. Alsheikhy
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 1, pp. 425-443
Open Access | Times Cited: 2
Tawfeeq Shawly, Ahmed A. Alsheikhy
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 1, pp. 425-443
Open Access | Times Cited: 2
The Diagnostic Efficiency of Quantitative Diffusion Weighted Imaging in Differentiating Medulloblastoma from Posterior Fossa Tumors: A Systematic Review and Meta-Analysis
Yi Luo, Siqi Zhang, Weiting Tan, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2796-2796
Open Access | Times Cited: 3
Yi Luo, Siqi Zhang, Weiting Tan, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2796-2796
Open Access | Times Cited: 3
Survival estimation of brain tumor patients using radiogenomics-based studies
Soumyaranjan Panda, K.P. Padhi, K. Behera, et al.
Elsevier eBooks (2024), pp. 137-166
Closed Access
Soumyaranjan Panda, K.P. Padhi, K. Behera, et al.
Elsevier eBooks (2024), pp. 137-166
Closed Access
Deep learning-based overall survival prediction in patients with glioblastoma: An automatic end-to-end workflow using pre-resection basic structural multiparametric MRIs
Zi Yang, Aroosa Zamarud, Neelan J. Marianayagam, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109436-109436
Closed Access
Zi Yang, Aroosa Zamarud, Neelan J. Marianayagam, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109436-109436
Closed Access
Brain Tumor Segmentation, Grade of Tumor and Survival Duration Prediction using Deep Learning
Hrishikesh Lamdade, Arjun Pansare, Gaurav Parulekar, et al.
(2023), pp. 553-557
Closed Access | Times Cited: 1
Hrishikesh Lamdade, Arjun Pansare, Gaurav Parulekar, et al.
(2023), pp. 553-557
Closed Access | Times Cited: 1
Survival and analysis of patients with various central nervous tumors who received post-operative radiation therapy: A retrospective study
Virendra Bhandari, Saloni Singhal, Ashar Iqbal Lodi, et al.
IP Indian Journal of Neurosciences (2023) Vol. 9, Iss. 4, pp. 209-213
Open Access
Virendra Bhandari, Saloni Singhal, Ashar Iqbal Lodi, et al.
IP Indian Journal of Neurosciences (2023) Vol. 9, Iss. 4, pp. 209-213
Open Access
