Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Unsupervised learning‐based clustering approach for smart identification of pathologies and segmentation of tissues in brain magnetic resonance imaging
S. Vigneshwaran, Vishnuvarthanan Govindaraj, M. Pallikonda Rajasekaran, et al.
International Journal of Imaging Systems and Technology (2019) Vol. 29, Iss. 4, pp. 439-456
Closed Access | Times Cited: 8

Showing 8 citing articles:

Advanced OCTA imaging segmentation: Unsupervised, non-linear retinal vessel detection using modified self-organizing maps and joint MGRF modeling
Ahmed Alksas, Ahmed Sharafeldeen, Hossam Magdy Balaha, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 254, pp. 108309-108309
Closed Access | Times Cited: 2
Minimally parametrized segmentation framework with dual metaheuristic optimisation algorithms and FCM for detection of anomalies in MR brain images
Senthilkumar Natarajan, Vishnuvarthanan Govindaraj, Yudong Zhang, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103866-103866
Closed Access | Times Cited: 10
A smartly designed automated map based clustering algorithm for the enhanced diagnosis of pathologies in brain MR images
S. Vigneshwaran, Vishnuvarthanan Govindaraj, Yudong Zhang, et al.
Expert Systems (2020) Vol. 38, Iss. 2
Closed Access | Times Cited: 5
A novel triple-level combinational framework for brain anomaly segmentation to augment clinical diagnosis
Senthilkumar Natarajan, Vishnuvarthanan Govindaraj, Ravipudi Venkata Rao Narayana, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2021) Vol. 10, Iss. 1, pp. 96-111
Closed Access | Times Cited: 5
An Automated Map Process Based Improved Fuzzy C-Means Algorithm for Pathological Detection in MR Image
M. Pallikonda Rajasekaran, Yudong Zhang
International Journal of Innovative Technology and Exploring Engineering (2019) Vol. 9, Iss. 2S2, pp. 937-941
Open Access
Examining the Pathological Portions in MR Brain Slices using Automated Map and Improved Fuzzy K-Means Clustering
M. Pallikonda Rajasekaran, S. Vigneshwaran, Vishnuvarthanan Govindaraj, et al.
International Journal of Innovative Technology and Exploring Engineering (2019) Vol. 9, Iss. 2S2, pp. 942-946
Open Access
Distance Metric-based Segmentation and Score-Level Classification for Optimized Tumor Identification in MR Images
D. Jithendra Reddy, T. Arun Prasath, M. Pallikonda Rajasekaran
IETE Journal of Research (2022) Vol. 69, Iss. 12, pp. 9288-9309
Closed Access
Efficient Automatic Segmentation of Multi-Domain Imagery Using Ensemble Feature-Segmenter Pairs with Machine Learning
Prerna Pachunde
Turkish Journal of Computer and Mathematics Education (TURCOMAT) (2021) Vol. 12, Iss. 12, pp. 954-965
Closed Access
Page 1

Scroll to top