Open Access Helper

OpenAlex Citation Counts

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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:

A Sequential Machine Learning-cum-Attention Mechanism for Effective Segmentation of Brain Tumor
Tahir Muhammad Ali, Ali Nawaz, Attique Ur Rehman, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 38

Showing 26-50 of 38 citing articles:

A random graph-based neural network approach to assess glioblastoma progression from perfusion MRI
Hamail Ayaz, Hanieh Khosravi, Ian McLoughlin, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105286-105286
Open Access | Times Cited: 3
Brain Tumor Detection using modified VGG-19 and Inception ResnetV2 models
Ch. Rajendra Prasad, Shayaan Hussain, B. Srinivas, et al.
(2023), pp. 49-53
Closed Access | Times Cited: 3
Deep learning‐based robust hybrid approaches for brain tumor classification in magnetic resonance images
Narayanan Krishnasamy, Thangaraj Ponnusamy
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 6, pp. 2157-2177
Closed Access | Times Cited: 2
Automatic Localization and Classification of Brain Tumors using Deep Residual Networks and MRI Images
Driss Lamrani, Mohammed Amine Bouqentar, Mohamed Amine Mahjoubi, et al.
(2024), pp. 1-8
Closed Access
Analysis of Human Emotion using Deep Learning
Santosh Kumar, Smriti Kumari Gupta, Yogesh Kumar
(2024), pp. 499-503
Closed Access
Application of U-Net Network Utilizing Multiattention Gate for MRI Segmentation of Brain Tumors
Qiong Zhang, Yiliu Hang, Jianlin Qiu, et al.
Journal of Computer Assisted Tomography (2024) Vol. 48, Iss. 6, pp. 991-997
Closed Access
Brain Tumor Detection from MRI Images Using Convolutional Neural Networks
N.D. Patel, V. K. Jain, Anil Kumar Yadav, et al.
(2024), pp. 114-121
Closed Access
Attention-based Deep Learning Approaches in Brain Tumor Image Analysis: A Mini Review
Mohammadreza Saraei, Sidong Liu
Frontiers in Health Informatics (2023) Vol. 12, pp. 164-164
Open Access | Times Cited: 1
Efficient Brain Tumor Segmentation in MRI Images: A ResNet-based Approach with SegNet Classification
Shivaprasad Biradar, Virupakshappa Virupakshappa
(2023), pp. 1-7
Closed Access | Times Cited: 1
Hybrid Rider Optimization with Deep Learning Driven Biomedical Liver Cancer Detection and Classification
Mesfer Al Duhayyim, Hanan Abdullah Mengash, Radwa Marzouk, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 2
Intelligent Hepatocellular Carcinoma Detection using Hybrid Radial basis Function Networks
Sowmya Jagadeesan, Swikruti Nayak, N. Srija, et al.
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2023), pp. 1169-1175
Closed Access
Application of Attention and Graph Transformer-Based Approaches for RNA Biomarker Discovery in Metabolically-Associated Fatty Liver Disease (MAFL/NASH)
Aashish Cheruvu, Daniel Zezulinski, Aejaz Sayeed
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Transfer Learning based Deep Neural Network for Autonomous identification of Brain Tumor Disease
Kamini Lamba, Shalli Rani
(2023), pp. 1-6
Closed Access
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