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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 Systematic Approach for MRI Brain Tumor Localization and Segmentation Using Deep Learning and Active Contouring
Shanaka Ramesh Gunasekara, H. N. T. K. Kaldera, Maheshi B. Dissanayake
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-13
Open Access | Times Cited: 70

Showing 26-50 of 70 citing articles:

A novel multi-class brain tumor classification method based on unsupervised PCANet features
Ahmed I. Shahin, Saleh Aly, Walaa Aly
Neural Computing and Applications (2023) Vol. 35, Iss. 15, pp. 11043-11059
Closed Access | Times Cited: 8
Computer-Aided Diagnosis of Children with Cerebral Palsy under Deep Learning Convolutional Neural Network Image Segmentation Model Combined with Three-Dimensional Cranial Magnetic Resonance Imaging
Rui Yang, Haoran Zuo, Shusheng Han, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 14
Brain MRI Images Segmentation Based on U-Net Architecture
Assalah Atiyah, Khawla H. Ali
Iraqi Journal for Electrical And Electronic Engineering (2021) Vol. 18, Iss. 1, pp. 21-27
Open Access | Times Cited: 13
Tumor delineation from 3-D MR brain images
Shaswati Roy, Pradipta Maji
Signal Image and Video Processing (2023) Vol. 17, Iss. 7, pp. 3433-3441
Closed Access | Times Cited: 5
Cascaded Regression with Dual CNN Frame Work for Time Effective Detection of Gliomas Cancers
V.K. Deepak, R. Sarath
Intelligence-Based Medicine (2024), pp. 100168-100168
Open Access | Times Cited: 1
Efficient GDD feature approximation based brain tumour classification and survival analysis model using deep learning
M. Vimala, Satheeshkumar Palanisamy, Sghaier Guizani, et al.
Egyptian Informatics Journal (2024) Vol. 28, pp. 100577-100577
Open Access | Times Cited: 1
A comprehensive and systematic review on classical and deep learning based region proposal algorithms
Maryam Taghizadeh, Abdolah Chalechale
Expert Systems with Applications (2021) Vol. 189, pp. 116105-116105
Closed Access | Times Cited: 11
Automated segmentation of meningioma from contrast-enhanced T1-weighted MRI images in a case series using a marker-controlled watershed segmentation and fuzzy C-means clustering machine learning algorithm
Sana Mohammadi, Sadegh Ghaderi, Kayvan Ghaderi, et al.
International Journal of Surgery Case Reports (2023) Vol. 111, pp. 108818-108818
Open Access | Times Cited: 4
Comparative Analysis on Brain Tumor Classification using Deep Learning Models
Madona B Sahaai, G. R. Jothilakshmi, R Selva Kumar, et al.
2022 IEEE International Conference on Data Science and Information System (ICDSIS) (2022), pp. 1-5
Closed Access | Times Cited: 7
Brain Tumor Segmentation from MRI Images Using Deep Learning Techniques
Ayan Gupta, Mayank Dixit, Vipul Kumar Mishra, et al.
Communications in computer and information science (2023), pp. 434-448
Closed Access | Times Cited: 3
Brain tumor segmentation based on kernel fuzzy c-means and penguin search optimization algorithm
J. Relin Francis Raj, K. Vijayalakshmi, S. Kavi Priya, et al.
Signal Image and Video Processing (2023) Vol. 18, Iss. 2, pp. 1793-1802
Closed Access | Times Cited: 3
Brain Tumor Segmentation and Classification using hybrid Deep CNN with LuNet Classifier
T. Balamurugan, E. Gnanamanoharan
Research Square (Research Square) (2022)
Open Access | Times Cited: 5
Segmentation for Multimodal Brain Tumor Images Using Dual-Tree Complex Wavelet Transform and Deep Reinforcement Learning
Gang Liu, Xiaofeng Li, Yingjie Cai
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 5
DETECTION OF BRAIN TUMOR USING DATA SCIENCE: A SURVEY
Ganesh Khekare, Yashkumar Patel, Patel Nishit, et al.
International Journal of Engineering Applied Sciences and Technology (2022) Vol. 6, Iss. 9, pp. 176-179
Open Access | Times Cited: 4
Advanced MRI Segmentation Algorithm for the Detection of Brain Tumor Using U-Net Architecture with Transfer Learning EfficientNet-B7
Vikash Kumar Dubey, Krishna Murari, Triloki Nath, et al.
Communications in computer and information science (2023), pp. 183-199
Closed Access | Times Cited: 2
Brain tumour classification using MRI images based on lenet with golden teacher learning optimization
Srilakshmi Aluri, S. Sagar Imambi
Network Computation in Neural Systems (2023) Vol. 35, Iss. 1, pp. 27-54
Closed Access | Times Cited: 2
RETRACTED ARTICLE: Anticipating brain tumor classification and severity levels: employing the CDF-BILSTM model approach
R. Sakthi Prabha, M. Vadivel
Optical and Quantum Electronics (2023) Vol. 56, Iss. 2
Closed Access | Times Cited: 2
Brain tumour detection from magnetic resonance imaging using convolutional neural networks
Irene Rethemiotaki
Współczesna Onkologia (2023) Vol. 27, Iss. 4, pp. 230-241
Open Access | Times Cited: 2
Optimizing Hyperparameters of YOLO to Improve Performance of Brain Tumor Detection in MRI Images
Dwi Wahyudi, Indah Soesanti, Hanung Adi Nugroho
2022 5th International Conference on Information and Communications Technology (ICOIACT) (2023), pp. 413-418
Closed Access | Times Cited: 2
An Enhanced Machine Learning Approach for Brain MRI Classification
Muhammad Hameed Siddiqi, Mohammad Azad, Yousef Alhwaiti
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2791-2791
Open Access | Times Cited: 3
The Deep Learning Model For The Examination Of Brain Tumor
Pankaj Kumar Sahu, Karan Jain
(2024), pp. 1-6
Closed Access
Evolutionary bioinformatics with veiled biological database for health care operations
Hariprasath Manoharan, S. A. Edalatpanah
Computers in Biology and Medicine (2024) Vol. 184, pp. 109418-109418
Closed Access
A unique unsupervised enhanced intuitionistic fuzzy C-means for MR brain tissue segmentation
Saritha Saladi, Yepuganti Karuna, Ravikumar Chinthaginjala, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Semantic-Aware Hybrid Deep Learning Model for Brain Tumor Detection and Classification Using Adaptive Feature Extraction and Mask-RCNN
Anil Kumar Mandle, Govind P. Gupta, Satya Prakash Sahu, et al.
International Journal on Semantic Web and Information Systems (2024) Vol. 21, Iss. 1, pp. 1-23
Open Access
Performance of Convolutional Neural Network Models in Meningioma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis
Tingwei Wang, Jia‐Sheng Hong, Wei‐Kai Lee, et al.
Neuroinformatics (2024) Vol. 23, Iss. 1, pp. 1-12
Open Access

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