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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:

Single seed delineation of brain tumor using multi-thresholding
Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
Information Sciences (2015) Vol. 330, pp. 88-103
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Arouse-Net: Enhancing Glioblastoma Segmentation in Multi-Parametric MRI with a Custom 3D Convolutional Neural Network and Attention Mechanism
Haiyang Li, Xiaozhi Qi, Ying Hu, et al.
Mathematics (2025) Vol. 13, Iss. 1, pp. 160-160
Open Access | Times Cited: 1
A novel beta differential evolution algorithm-based fast multilevel thresholding for color image segmentation
Ashish Kumar Bhandari
Neural Computing and Applications (2018) Vol. 32, Iss. 9, pp. 4583-4613
Closed Access | Times Cited: 97
Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches
Yan Xu, Rixiang Quan, Weiting Xu, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 1034-1034
Open Access | Times Cited: 12
Use of machine intelligence to conduct analysis of human brain data for detection of abnormalities in its cognitive functions
Javeria Amin, Muhammad Irfan Sharif, Mussarat Yasmin, et al.
Multimedia Tools and Applications (2019) Vol. 79, Iss. 15-16, pp. 10955-10973
Closed Access | Times Cited: 55
HWOA: A hybrid whale optimization algorithm with a novel local minima avoidance method for multi-level thresholding color image segmentation
Mohamed Abdel‐Basset, Reda Mohamed, Nabil M. AbdelAziz, et al.
Expert Systems with Applications (2021) Vol. 190, pp. 116145-116145
Closed Access | Times Cited: 52
Quantitative imaging of apoptosis following oncolytic virotherapy by magnetic resonance fingerprinting aided by deep learning
Or Perlman, Hirotaka Ito, Kai Herz, et al.
Nature Biomedical Engineering (2021) Vol. 6, Iss. 5, pp. 648-657
Open Access | Times Cited: 47
Automated 3D segmentation of brain tumor using visual saliency
Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
Information Sciences (2017) Vol. 424, pp. 337-353
Closed Access | Times Cited: 57
An efficient image segmentation method based on a hybrid particle swarm algorithm with learning strategy
Hao Gao, Chi‐Man Pun, Sam Kwong
Information Sciences (2016) Vol. 369, pp. 500-521
Closed Access | Times Cited: 50
Multi-planar Spatial-ConvNet for Segmentation and Survival Prediction in Brain Cancer
Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
Lecture notes in computer science (2019), pp. 94-104
Closed Access | Times Cited: 38
Brain Tumor Segmentation From Multi-Modal MR Images via Ensembling UNets
Yue Zhang, Pinyuan Zhong, Dabin Jie, et al.
Frontiers in Radiology (2021) Vol. 1
Open Access | Times Cited: 31
Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI
Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 34
Hybrid Segmentation Method With Confidence Region Detection for Tumor Identification
Khurram Ejaz, Mohd Shafry Mohd Rahim, Usama Ijaz Bajwa, et al.
IEEE Access (2020) Vol. 9, pp. 35256-35278
Open Access | Times Cited: 27
Novel Volumetric Sub-region Segmentation in Brain Tumors
Subhashis Banerjee, Sushmita Mitra
Frontiers in Computational Neuroscience (2020) Vol. 14
Open Access | Times Cited: 24
Glioma Classification Using Deep Radiomics
Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, et al.
SN Computer Science (2020) Vol. 1, Iss. 4
Open Access | Times Cited: 24
A Survey: Brain Tumor Detection Using MRI Image with Deep Learning Techniques
Chalapathiraju Kanumuri, Ch. Renu Madhavi
(2022), pp. 125-138
Closed Access | Times Cited: 14
MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps.
F. Bińczyk, Bram Stjelties, Christian Weber, et al.
Information Sciences (2016) Vol. 384, pp. 235-248
Open Access | Times Cited: 23
Synergetic neuro-fuzzy feature selection and classification of brain tumors
Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2017)
Closed Access | Times Cited: 22
Segmentation fusion based on neighboring information for MR brain images
Yuncong Feng, Xuanjing Shen, Haipeng Chen, et al.
Multimedia Tools and Applications (2016) Vol. 76, Iss. 22, pp. 23139-23161
Closed Access | Times Cited: 20
Brain MR Image Multilevel Thresholding by Using Particle Swarm Optimization, Otsu Method and Anisotropic Diffusion
Abdul Kayom Md Khairuzzaman, Saurabh Chaudhury
International Journal of Applied Metaheuristic Computing (2019) Vol. 10, Iss. 3, pp. 91-106
Closed Access | Times Cited: 18
Brain tissue segmentation using improved kernelized rough-fuzzy C-means with spatio-contextual information from MRI
Anindya Halder, Nur Alom Talukdar
Magnetic Resonance Imaging (2019) Vol. 62, pp. 129-151
Closed Access | Times Cited: 17
Robust brain magnetic resonance image segmentation using modified rough-fuzzy C-means with spatial constraints
Anindya Halder, Nur Alom Talukdar
Applied Soft Computing (2019) Vol. 85, pp. 105758-105758
Closed Access | Times Cited: 15
A transfer learning based deep learning model to diagnose covid-19 CT scan images
Sanat Kumar Pandey, Ashish Kumar Bhandari, Himanshu Singh
Health and Technology (2022) Vol. 12, Iss. 4, pp. 845-866
Open Access | Times Cited: 9
Review on Hybrid Segmentation Methods for Identification of Brain Tumor in MRI
Khurram Ejaz, Mohd Shafry Mohd Rahim, Muhammad Arif, et al.
Contrast Media & Molecular Imaging (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 8
Generating panoramic unfolded image from borehole video acquired through APBT
Maoyong Cao, Zhaopeng Deng, Laxmisha Rai, et al.
Multimedia Tools and Applications (2018) Vol. 77, Iss. 19, pp. 25149-25179
Closed Access | Times Cited: 14
Brain Tumor Segmentation Based on Minimum Spanning Tree
Simeon Mayala, Ida Herdlevær, Jonas Bull Haugsøen, et al.
Frontiers in Signal Processing (2022) Vol. 2
Open Access | Times Cited: 7
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