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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:

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

Showing 13 citing articles:

Medical Image Segmentation Using Enhanced Residual U-Net Architecture
Ali Hussein Alwan, Suhad A. Ali, Ashwaq T. Hashim
Mathematical Modelling and Engineering Problems (2024) Vol. 11, Iss. 2, pp. 507-516
Open Access | Times Cited: 2
U-Net Segmentation for CNN Classification to Improve the Accuracy of Automatic Prediction of Brain Tumors Using MRI Images
S. Sujatha
Deleted Journal (2024) Vol. 20, Iss. 5s, pp. 2672-2683
Open Access | Times Cited: 1
Epileptic detection based on deep learning: A review
Ola Marwan Assim, Ahlam Fadhil Mahmood
Iraqi Journal for Electrical And Electronic Engineering (2024) Vol. 20, Iss. 2, pp. 115-126
Open Access | Times Cited: 1
Semantic Segmentation of Aerial Images Using U-Net Architecture
Sarah Hussein, Khawla H. Ali
Iraqi Journal for Electrical And Electronic Engineering (2022) Vol. 18, Iss. 1, pp. 58-63
Open Access | Times Cited: 5
Expanding New Covid-19 Data with Conditional Generative Adversarial Networks
Haneen Majid, Khawla Hussein Ali
Iraqi Journal for Electrical And Electronic Engineering (2022) Vol. 18, Iss. 1, pp. 103-110
Open Access | Times Cited: 4
Segmentation of Human Brain Gliomas Tumour Images using U-Net Architecture with Transfer Learning
Assalah Zaki Alali, Khawla Hussein Ali
Diyala Journal of Engineering Sciences (2022), pp. 17-29
Open Access | Times Cited: 3
Brain Tumor Segmentation with Efficient and Low-Complex Architecture Using RCNN and Modified U-Net
A. K. Raha, Farjana Parvin, Tasmia Jannat
Lecture notes in networks and systems (2024), pp. 317-331
Closed Access
U-Net Segmentation for CNN Classification to Improve the Accuracy of Automatic Prediction of Brain Tumors Using MRI Images
T. Sujatha
Deleted Journal (2024) Vol. 20, Iss. 2, pp. 2284-2295
Open Access
Deep Learning-based CAD System for Predicting the COVID-19 X-ray Images
Aqeel R. Talib, Hana Ali
Karbala International Journal of Modern Science (2023) Vol. 9, Iss. 3
Open Access | Times Cited: 1
Implementing a Modified Low-complexity U-Net Model for Segmenting Brain Tumors
Mawj Abdul-Ameer Al-Murshidawy, Omran Al-Shamma
(2023) Vol. 3613, pp. 176-180
Closed Access | Times Cited: 1
Enhanced Semantic Segmentation of Aerial images with Spatial Smoothness Using CRF Model
Sarah Kamel Hussein, Khawla Hussein Ali
(2022), pp. 118-124
Closed Access | Times Cited: 1
MRI Semantic Segmentation based on Optimize V-net with 2D Attention
Zobeda Hatif Naji Al-azzwi, Alexey Nazarov
Advances in Science Technology and Engineering Systems Journal (2023) Vol. 8, Iss. 4, pp. 73-80
Open Access
Automated Diagnosis of brain tumor classification and segmentation of MRI Images
K Shanthala, B M Chandrakala, N Shobha, et al.
(2023), pp. 1-7
Closed Access
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