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:
Deep Learning With Radiogenomics Towards Personalized Management of Gliomas
Sushmita Mitra
IEEE Reviews in Biomedical Engineering (2021) Vol. 16, pp. 579-593
Closed Access | Times Cited: 9
Sushmita Mitra
IEEE Reviews in Biomedical Engineering (2021) Vol. 16, pp. 579-593
Closed Access | Times Cited: 9
Showing 9 citing articles:
Load Forecasting with Machine Learning and Deep Learning Methods
Moisés Cordeiro-Costas, Daniel Villanueva, Pablo Eguía, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7933-7933
Open Access | Times Cited: 41
Moisés Cordeiro-Costas, Daniel Villanueva, Pablo Eguía, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7933-7933
Open Access | Times Cited: 41
Integrating Multi-Omics Data With EHR for Precision Medicine Using Advanced Artificial Intelligence
Tong Li, Wenqi Shi, Monica Isgut, et al.
IEEE Reviews in Biomedical Engineering (2023) Vol. 17, pp. 80-97
Open Access | Times Cited: 27
Tong Li, Wenqi Shi, Monica Isgut, et al.
IEEE Reviews in Biomedical Engineering (2023) Vol. 17, pp. 80-97
Open Access | Times Cited: 27
Radiomics in glioma: emerging trends and challenges
Zihan Wang, Lei Wang, Yinyan Wang
Annals of Clinical and Translational Neurology (2025)
Open Access
Zihan Wang, Lei Wang, Yinyan Wang
Annals of Clinical and Translational Neurology (2025)
Open Access
SPBTGNS: Design of an Efficient Model for Survival Prediction in Brain Tumour Patients using Generative Adversarial Network with Neural Architectural Search Operations
Ruqsar Zaitoon, Sachi Nandan Mohanty, Deepthi Godavarthi, et al.
IEEE Access (2024) Vol. 12, pp. 140847-140869
Open Access | Times Cited: 4
Ruqsar Zaitoon, Sachi Nandan Mohanty, Deepthi Godavarthi, et al.
IEEE Access (2024) Vol. 12, pp. 140847-140869
Open Access | Times Cited: 4
Deep learning characterization of brain tumours with diffusion weighted imaging
Cameron Meaney, Sunit Das, Errol Colak, et al.
Journal of Theoretical Biology (2022) Vol. 557, pp. 111342-111342
Open Access | Times Cited: 9
Cameron Meaney, Sunit Das, Errol Colak, et al.
Journal of Theoretical Biology (2022) Vol. 557, pp. 111342-111342
Open Access | Times Cited: 9
Advancements in deep learning techniques for brain tumor segmentation: A survey
C. Umarani, Shantappa G. Gollagi, Shridhar Allagi, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101576-101576
Open Access | Times Cited: 1
C. Umarani, Shantappa G. Gollagi, Shridhar Allagi, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101576-101576
Open Access | Times Cited: 1
Radiogenomics: bridging the gap between imaging and genomics for precision oncology
Wenle He, Wenhui Huang, Lu Zhang, et al.
MedComm (2024) Vol. 5, Iss. 9
Open Access | Times Cited: 1
Wenle He, Wenhui Huang, Lu Zhang, et al.
MedComm (2024) Vol. 5, Iss. 9
Open Access | Times Cited: 1
Multimodal MRI and artificial intelligence: shaping the future of glioma
Y. H. Yan, Chenxi Yang, Wensheng Chen, et al.
Journal of Neurorestoratology (2024), pp. 100175-100175
Open Access
Y. H. Yan, Chenxi Yang, Wensheng Chen, et al.
Journal of Neurorestoratology (2024), pp. 100175-100175
Open Access
A Synopsis of Machine and Deep Learning in Medical Physics and Radiology
Zohal EMAM, Emel Ada
Journal of Basic and Clinical Health Sciences (2022) Vol. 6, Iss. 3, pp. 946-957
Open Access
Zohal EMAM, Emel Ada
Journal of Basic and Clinical Health Sciences (2022) Vol. 6, Iss. 3, pp. 946-957
Open Access
