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:
Model for Enhancement and Segmentation of Magnetic Resonance Images for Brain Tumor Classification
A. M. Chikhalikar, Nagaraj V. Dharwadkar
Pattern Recognition and Image Analysis (2021) Vol. 31, Iss. 1, pp. 49-59
Closed Access | Times Cited: 7
A. M. Chikhalikar, Nagaraj V. Dharwadkar
Pattern Recognition and Image Analysis (2021) Vol. 31, Iss. 1, pp. 49-59
Closed Access | Times Cited: 7
Showing 7 citing articles:
Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives
Yuting Xie, Fulvio Zaccagna, Leonardo Rundo, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1850-1850
Open Access | Times Cited: 91
Yuting Xie, Fulvio Zaccagna, Leonardo Rundo, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1850-1850
Open Access | Times Cited: 91
An Effective analysis of brain tumor detection using deep learning
Yenumala Sankararao, Syed Khasim
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 3
Yenumala Sankararao, Syed Khasim
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 3
Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2021): Review, Challenges, and Future Perspectives
Yuting Xie, Fulvio Zaccagna, Leonardo Rundo, et al.
(2022)
Open Access | Times Cited: 6
Yuting Xie, Fulvio Zaccagna, Leonardo Rundo, et al.
(2022)
Open Access | Times Cited: 6
IMPA-Net: Interpretable Multi-Part Attention Network for Trustworthy Brain Tumor Classification from MRI
Yuting Xie, Fulvio Zaccagna, Leonardo Rundo, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 997-997
Open Access
Yuting Xie, Fulvio Zaccagna, Leonardo Rundo, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 997-997
Open Access
Hybrid ResGRU: Effective brain tumour classification approach using of abnormal images
Aishwarya Rajendran, Sumathi Ganesan, T.K.S. Rathis Babu
Journal of Intelligent & Fuzzy Systems (2023), pp. 1-15
Closed Access
Aishwarya Rajendran, Sumathi Ganesan, T.K.S. Rathis Babu
Journal of Intelligent & Fuzzy Systems (2023), pp. 1-15
Closed Access
An automated brain tumor segmentation framework using a novel fruit fly UNet
Ravi Boda, Reni K. Cherian, Vinit Kumar
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 22
Closed Access
Ravi Boda, Reni K. Cherian, Vinit Kumar
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 22
Closed Access
MRI image enhancement based on feature clustering in the NSCT domain
Chang Gao Xia, Haixia Zhao, Zhenxia Xue
AIMS Mathematics (2022) Vol. 7, Iss. 8, pp. 15633-15658
Open Access
Chang Gao Xia, Haixia Zhao, Zhenxia Xue
AIMS Mathematics (2022) Vol. 7, Iss. 8, pp. 15633-15658
Open Access
