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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:

Skin Lesion Segmentation in Dermoscopic Images with Noisy Data
Norsang Lama, Jason Hagerty, Anand K. Nambisan, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 4, pp. 1712-1722
Closed Access | Times Cited: 10

Showing 10 citing articles:

Deep learning for medical image segmentation: State-of-the-art advancements and challenges
Md. Eshmam Rayed, S. M. Sajibul Islam, Sadia Islam Niha, et al.
Informatics in Medicine Unlocked (2024) Vol. 47, pp. 101504-101504
Open Access | Times Cited: 30
GA-UNet: A Lightweight Ghost and Attention U-Net for Medical Image Segmentation
Bo Pang, Lianghong Chen, Qingchuan Tao, et al.
Deleted Journal (2024)
Open Access | Times Cited: 5
Hybrid Topological Data Analysis and Deep Learning for Basal Cell Carcinoma Diagnosis
Akanksha Maurya, R. Joe Stanley, Norsang Lama, et al.
Deleted Journal (2024) Vol. 37, Iss. 1, pp. 92-106
Open Access | Times Cited: 1
A multi-level closing based segmentation framework for dermatoscopic images using ensemble deep network
Varun Srivastava, Shilpa Gupta, Ritik Singh, et al.
International Journal of Systems Assurance Engineering and Management (2024) Vol. 15, Iss. 8, pp. 3926-3939
Closed Access | Times Cited: 1
AFCF-Net: A novel U-Net based asymmetric feature calibration and fusion network for skin lesion image segmentation
Zhanlin Ji, Zidong Yu, Chunling Liu, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0314000-e0314000
Open Access | Times Cited: 1
Fusion of Deep Learning with Conventional Imaging Processing: Does It Bring Artificial Intelligence Closer to the Clinic?
Jason Hagerty, Anand K. Nambisan, R. Joe Stanley, et al.
Journal of Investigative Dermatology (2024) Vol. 144, Iss. 7, pp. 1424-1427
Closed Access
LAMA: Lesion-Aware Mixup Augmentation for Skin Lesion Segmentation
Norsang Lama, R. Joe Stanley, Binita Lama, et al.
Deleted Journal (2024)
Closed Access
MADR-Net: multi-level attention dilated residual neural network for segmentation of medical images
Keerthiveena Balraj, Manojkumar Ramteke, Shachi Mittal, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Dermoskopik Görüntü Sınıflandırmada Temel Veri Artırım Yöntemlerinin Değerlendirilmesi
Aytuǧ Onan, Vahide Bulut, Ahmet Ezgi
(2023)
Open Access
A multi-level closing based segmentation framework for dermatoscopic images using ensemble deep network.
varun srivast, Shilpa Gupta, Ritik Singh, et al.
Research Square (Research Square) (2023)
Open Access
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