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:
Brain Tumor Segmentation from Multi-Spectral MRI Data Using Cascaded Ensemble Learning
Timea Fulop, Ágnes Györfi, Szabolcs Csaholczi, et al.
(2020), pp. 531-536
Open Access | Times Cited: 7
Timea Fulop, Ágnes Györfi, Szabolcs Csaholczi, et al.
(2020), pp. 531-536
Open Access | Times Cited: 7
Showing 7 citing articles:
A Survey of Brain Tumor Segmentation and Classification Algorithms
Erena Siyoum Biratu, Friedhelm Schwenker, Yehualashet Megersa Ayano, et al.
Journal of Imaging (2021) Vol. 7, Iss. 9, pp. 179-179
Open Access | Times Cited: 125
Erena Siyoum Biratu, Friedhelm Schwenker, Yehualashet Megersa Ayano, et al.
Journal of Imaging (2021) Vol. 7, Iss. 9, pp. 179-179
Open Access | Times Cited: 125
Efficient U-Net Architecture with Multiple Encoders and Attention Mechanism Decoders for Brain Tumor Segmentation
Ilyasse Aboussaleh, Jamal Riffi, Khalid El Fazazy, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 872-872
Open Access | Times Cited: 25
Ilyasse Aboussaleh, Jamal Riffi, Khalid El Fazazy, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 872-872
Open Access | Times Cited: 25
Deep Learning Techniques for the Classification of Brain Tumor: A Comprehensive Survey
Ayesha Younis, Qiang Li, Mudassar Khalid, et al.
IEEE Access (2023) Vol. 11, pp. 113050-113063
Open Access | Times Cited: 15
Ayesha Younis, Qiang Li, Mudassar Khalid, et al.
IEEE Access (2023) Vol. 11, pp. 113050-113063
Open Access | Times Cited: 15
Detection of Brain Cancer using Machine Learning Techniques a Review
Gogineni Meghana, Suresh Kumar Rudrahithlu, K C Shilpa
International Journal of Computer Science and Engineering (2022) Vol. 9, Iss. 9, pp. 12-18
Open Access | Times Cited: 4
Gogineni Meghana, Suresh Kumar Rudrahithlu, K C Shilpa
International Journal of Computer Science and Engineering (2022) Vol. 9, Iss. 9, pp. 12-18
Open Access | Times Cited: 4
Enhanced Brain Tumor Segmentation via Transfer Learning and Attention Mechanism
Ilyasse Aboussaleh, Jamal Riffi, Khalid El Fazazy, et al.
(2024), pp. 1-6
Closed Access
Ilyasse Aboussaleh, Jamal Riffi, Khalid El Fazazy, et al.
(2024), pp. 1-6
Closed Access
A Survey on Brain Tumor Detection from MRI Images Using Machine Learning Techniques
R. Srikanth, N. Kanya, P Raja Kumar
NanoWorld Journal (2023) Vol. 9
Open Access | Times Cited: 1
R. Srikanth, N. Kanya, P Raja Kumar
NanoWorld Journal (2023) Vol. 9
Open Access | Times Cited: 1
Review on Brain Tumor Segmentation and Classification using Artificial Intelligence
T S Chandrakantha, Basavaraj N Jagadale, G R Madhuri, et al.
(2023), pp. 1-6
Closed Access
T S Chandrakantha, Basavaraj N Jagadale, G R Madhuri, et al.
(2023), pp. 1-6
Closed Access
