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:
RF-ShCNN: A combination of two deep models for tumor detection in brain using MRI
Swaminathan Balasubramanian, Jyothi Mandala, Telu Venkata Madhusudhana Rao, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105656-105656
Closed Access | Times Cited: 6
Swaminathan Balasubramanian, Jyothi Mandala, Telu Venkata Madhusudhana Rao, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105656-105656
Closed Access | Times Cited: 6
Showing 6 citing articles:
An automated metaheuristic-optimized approach for diagnosing and classifying brain tumors based on a convolutional neural network
Mansourah Aljohani, Waleed M. Bahgat, Hossam Magdy Balaha, et al.
Results in Engineering (2024) Vol. 23, pp. 102459-102459
Open Access | Times Cited: 18
Mansourah Aljohani, Waleed M. Bahgat, Hossam Magdy Balaha, et al.
Results in Engineering (2024) Vol. 23, pp. 102459-102459
Open Access | Times Cited: 18
Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning
Asadullah Shaikh, Samina Amin, Muhammad Ali Zeb, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109703-109703
Closed Access
Asadullah Shaikh, Samina Amin, Muhammad Ali Zeb, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109703-109703
Closed Access
A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection
Hatice Çatal Reis, Veysel Turk
Computers in Biology and Medicine (2025) Vol. 189, pp. 109916-109916
Closed Access
Hatice Çatal Reis, Veysel Turk
Computers in Biology and Medicine (2025) Vol. 189, pp. 109916-109916
Closed Access
Cerebral Cortex Extraction Methods Based on a Priori Knowledge for T1-Weighted MRI Images
Hajer Ouerghi, Olfa Mourali, Ezzeddine Zagrouba
Communications in computer and information science (2024), pp. 419-431
Closed Access
Hajer Ouerghi, Olfa Mourali, Ezzeddine Zagrouba
Communications in computer and information science (2024), pp. 419-431
Closed Access
Bio-inspired feature selection for early diagnosis of Parkinson’s disease through optimization of deep 3D nested learning
S. Priyadharshini, K. Ramkumar, V. Subramaniyaswamy, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
S. Priyadharshini, K. Ramkumar, V. Subramaniyaswamy, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection
Tarek Berghout
Journal of Imaging (2024) Vol. 11, Iss. 1, pp. 2-2
Open Access
Tarek Berghout
Journal of Imaging (2024) Vol. 11, Iss. 1, pp. 2-2
Open Access
