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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:

Level set-based CT liver image segmentation with watershed and artificial neural networks
Abdalla Zidan, Neveen I. Ghali, Aboul ella Hassamen, et al.
(2012)
Closed Access | Times Cited: 25

Showing 25 citing articles:

Liver segmentation in MRI images based on whale optimization algorithm
Abdalla Mostafa, Aboul Ella Hassanien, Mohamed Houseni, et al.
Multimedia Tools and Applications (2017) Vol. 76, Iss. 23, pp. 24931-24954
Closed Access | Times Cited: 96
CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm
Ahmed M. Anter, Aboul Ella Hassenian
Artificial Intelligence in Medicine (2018) Vol. 97, pp. 105-117
Open Access | Times Cited: 96
Efficient Liver Segmentation from Computed Tomography Images Using Deep Learning
Mubashir Ahmad, Syed Furqan Qadri, Muhammad Usman Ashraf, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 35
Deep Federated Machine Learning-Based Optimization Methods for Liver Tumor Diagnosis: A Review
Ahmed M. Anter, Laith Abualigah
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3359-3378
Closed Access | Times Cited: 17
A hybrid segmentation approach based on Neutrosophic sets and modified watershed: A case of abdominal CT Liver parenchyma
Gehad Ismail Sayed, Mona A. S. Ali, Tarek Gaber, et al.
(2015), pp. 144-149
Closed Access | Times Cited: 61
Automatic computer aided segmentation for liver and hepatic lesions using hybrid segmentations techniques
Ahmed M. Anter, Ahmad Taher Azar, Aboul Ella Hassanien, et al.
Federated Conference on Computer Science and Information Systems (2013), pp. 193-198
Closed Access | Times Cited: 43
An Automated Computer-aided Diagnosis System for Abdominal CT Liver Images
Gehad Ismail Sayed, Aboul Ella Hassanien, Gerald Schaefer
Procedia Computer Science (2016) Vol. 90, pp. 68-73
Open Access | Times Cited: 35
A Hybrid Approach to Diagnosis of Hepatic Tumors in Computed Tomography Images
Ahmed M. Anter, Mohamed Abu El Souod, Ahmad Taher Azar, et al.
International Journal of Rough Sets and Data Analysis (2014) Vol. 1, Iss. 2, pp. 31-48
Closed Access | Times Cited: 26
Nature Inspired Optimization Algorithms for CT Liver Segmentation
Ahmed F. Ali, Abdalla Mostafa, Gehad Ismail Sayed, et al.
Studies in computational intelligence (2016), pp. 431-460
Closed Access | Times Cited: 22
Automatic Segmentation and Classification of Liver Abnormalities Using Fractal Dimension
Ahmed M. Anter, Aboul Ella Hassanien, Gerald Schaefer
(2013), pp. 937-941
Closed Access | Times Cited: 11
Extraction of target region in lung immunohistochemical image based on artificial neural network
Di Fan, Wei Lü, Maoyong Cao
Multimedia Tools and Applications (2016) Vol. 75, Iss. 19, pp. 12227-12244
Closed Access | Times Cited: 10
Artificial Neural Network Based Abdominal Organ Segmentations: A Review
Evgin Göçeri, Esther Durá Martínez
(2015), pp. 1191-1194
Closed Access | Times Cited: 9
Automatic segmentation of liver & lesion detection using H-minima transform and connecting component labeling
Nazish Khan, Imran Ahmed, Mahreen Kiran, et al.
Multimedia Tools and Applications (2019) Vol. 79, Iss. 13-14, pp. 8459-8481
Closed Access | Times Cited: 9
Abdominal CT Liver Parenchyma Segmentation Based on Particle Swarm Optimization
Gehad Ismail Sayed, Aboul Ella Hassanien
Advances in intelligent systems and computing (2015), pp. 219-228
Closed Access | Times Cited: 7
Automatic liver-vessel examination from CT slice using Kapur’s thresholding and watershed algorithm
Seifedine Kadry, Laith Abualigah, Rubén González Crespo, et al.
Procedia Computer Science (2024) Vol. 235, pp. 1824-1831
Open Access
Automatic computer aided analysis algorithms and system for adrenal tumors on CT images
Hanchao Chai, Yi Guo, Yuanyuan Wang, et al.
Technology and Health Care (2017) Vol. 25, Iss. 6, pp. 1105-1118
Closed Access | Times Cited: 4
Detection of Liver Tumor in CT Images Using Watershed and Hidden Markov Random Field Expectation Maximization Algorithm
Amita Das, Soumya Surath Panda, Sukanta Sabut
Communications in computer and information science (2017), pp. 411-419
Closed Access | Times Cited: 4
Abdominal image segmentation on Android based mobile devices
Seda Arslan Tuncer, Ahmet Alkan
(2014), pp. 806-809
Closed Access | Times Cited: 3
Level set segmentation for brain region using CT scan images
Chuen Rue Ng, Norliza Mohd Noor, Omar Mohd Rijal
(2016) Vol. 11, pp. 166-169
Closed Access | Times Cited: 3
Prediction of liver tumor segmentation using novel k-nearest neighbor and comparing with logistic regression algorithm for better accuracy
Indira Kumar, M. Saravanan
AIP conference proceedings (2024) Vol. 3097, pp. 020235-020235
Closed Access
Segmentation of Liver using Abdominal CT Scan to Detection Liver Desease Area
Faizatul Himmah, Riyanto Sigit, Tri Harsono
(2018), pp. 225-228
Closed Access | Times Cited: 3
Morph-Rec: A Novel Computer-Aided Liver Segmentation Model based on Morphological Reconstruction Operation
Emerson Nithiyaraj, S. Arivazhagan
IETE Journal of Research (2023) Vol. 70, Iss. 3, pp. 2949-2961
Closed Access | Times Cited: 1
Automatic liver Parenchyma segmentation from abdominal CT images
Ahmed M. Anter, Mohamed Abu ElSoud, Aboul Ella Hassanien
(2013), pp. 32-36
Closed Access | Times Cited: 2
Geometric and Topological Modelling of Organs and Vascular Structures from CT Data
João Fradinho Oliveira, J. Blas Pagador, José Luis Moyano-Cuevas, et al.
Springer eBooks (2018), pp. 217-247
Closed Access
Less Complex Liver Cancer Detection System
Shoaib M. Nakade
International Journal for Research in Applied Science and Engineering Technology (2019) Vol. 7, Iss. 3, pp. 1069-1070
Open Access
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