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:

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

Showing 26-50 of 35 citing articles:

Does Formula-Driven Supervised Learning Work on Small Datasets?
Kodai Nakashima, Hirokatsu Kataoka, Yutaka Satoh
IEEE Access (2023) Vol. 11, pp. 136166-136178
Open Access | Times Cited: 1
Automatic liver tumor detection and classification using the hyper tangent fuzzy C-Means and improved fuzzy SVM
Usharani Bhimavarapu
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 46201-46220
Closed Access | Times Cited: 1
ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from Follow-Up CT Series
Wei Zhao, Yingli Sun, Kaiming Kuang, et al.
Cancers (2022) Vol. 14, Iss. 15, pp. 3675-3675
Open Access | Times Cited: 2
Comparative Analysis of Machine Learning Techniques for Predicting Air Pollution
Muhammad Usman Ashraf, Farwa Akram, Sardar Usman
Lahore Garrison University Research Journal of Computer Science and Information Technology (2022) Vol. 6, Iss. 2, pp. 40-54
Open Access | Times Cited: 2
Application of Image Processing and 3D Printing Technique to Development of Computer Tomography System for Automatic Segmentation and Quantitative Analysis of Pulmonary Bronchus
Chung‐Feng Jeffrey Kuo, Zheng-Xun Yang, Wen-Sen Lai, et al.
Mathematics (2022) Vol. 10, Iss. 18, pp. 3354-3354
Open Access | Times Cited: 1
Cross-Domain Translation Learning Method Utilizing Autoencoder Pre-Training for Super-Resolution of Radar Sparse Sensor Arrays
Jong-Hoon Kim, Ic‐Pyo Hong
IEEE Access (2023) Vol. 11, pp. 61773-61785
Open Access
Research Progress of Deep Learning in Liver Semantic Segmentation and Volume Measurement Based on Medical Image
勇 秦
Advances in Clinical Medicine (2023) Vol. 13, Iss. 07, pp. 11581-11587
Closed Access
A Survey of Deep Learning Techniques Based on Computed Tomography Images for Detection of Pneumonia
Sharon Quispe, I. Torres Ramírez de Arellano, Pedro Shiguihara-Juárez
(2023), pp. 5-5
Open Access
Accurately 3D neuron localization using 2D conv‐LSTM super‐resolution segmentation network
Hang Zhou, Yuxin Li, Wu Wen, et al.
IET Image Processing (2023) Vol. 18, Iss. 2, pp. 535-547
Open Access
Retracted: Efficient Liver Segmentation from Computed Tomography Images Using Deep Learning
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access
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