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:
Automated Ovarian Cancer Identification Using End-to-End Deep Learning and Second Harmonic Generation Imaging
Guangxing Wang, Huiling Zhan, Tianyi Luo, et al.
IEEE Journal of Selected Topics in Quantum Electronics (2022) Vol. 29, Iss. 4: Biophotonics, pp. 1-9
Closed Access | Times Cited: 12
Guangxing Wang, Huiling Zhan, Tianyi Luo, et al.
IEEE Journal of Selected Topics in Quantum Electronics (2022) Vol. 29, Iss. 4: Biophotonics, pp. 1-9
Closed Access | Times Cited: 12
Showing 12 citing articles:
Towards next-generation diagnostic pathology: AI-empowered label-free multiphoton microscopy
Shu Wang, Jingwen Pan, Xiao Zhang, et al.
Light Science & Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Shu Wang, Jingwen Pan, Xiao Zhang, et al.
Light Science & Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Polarization-resolved super-resolution second-harmonic generation imaging based on multifocal structured illumination microscopy
Yong Zhang, Chenshuang Zhang, Renlong Zhang, et al.
Optics Letters (2024) Vol. 49, Iss. 6, pp. 1540-1540
Closed Access | Times Cited: 1
Yong Zhang, Chenshuang Zhang, Renlong Zhang, et al.
Optics Letters (2024) Vol. 49, Iss. 6, pp. 1540-1540
Closed Access | Times Cited: 1
DeepOvaNet: A Comprehensive Deep Learning Framework for Predicting and Diagnosing Ovarian Cancer in Women Across Menopausal Transitions
Ashis Das, M Chilakarao, Preesat Biswas, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
Ashis Das, M Chilakarao, Preesat Biswas, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
ABM-OCD: Advancing ovarian cancer diagnosis with attention-based models and 3D CNNs
A Jenefa, Naveen V. Edward, Veemaraj Ebenezer, et al.
ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) (2023) Vol. 9, Iss. 43
Open Access | Times Cited: 3
A Jenefa, Naveen V. Edward, Veemaraj Ebenezer, et al.
ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) (2023) Vol. 9, Iss. 43
Open Access | Times Cited: 3
Machine learning for automated classification of lung collagen in a urethane-induced lung injury mouse model
Khalid Alnafisah, Amit Ranjan, Sushant P. Sahu, et al.
Biomedical Optics Express (2024) Vol. 15, Iss. 10, pp. 5980-5980
Open Access
Khalid Alnafisah, Amit Ranjan, Sushant P. Sahu, et al.
Biomedical Optics Express (2024) Vol. 15, Iss. 10, pp. 5980-5980
Open Access
Survey of AI-driven techniques for ovarian cancer detection: state-of-the-art methods and open challenges
Samridhi Singh, Malti Kumari Maurya, Nagendra Singh, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access
Samridhi Singh, Malti Kumari Maurya, Nagendra Singh, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access
Accelerating whole-sample polarization-resolved second harmonic generation imaging in mammary gland tissue via generative adversarial networks
Arash Aghigh, Jysiane Cardot, Melika Saadat Mohammadi, et al.
Biomedical Optics Express (2024) Vol. 15, Iss. 9, pp. 5251-5251
Open Access
Arash Aghigh, Jysiane Cardot, Melika Saadat Mohammadi, et al.
Biomedical Optics Express (2024) Vol. 15, Iss. 9, pp. 5251-5251
Open Access
New Trends in Ovarian Cancer Diagnosis Using Deep Learning: A Systematic Review
Mohamed El-Khatib, Dan Popescu, Oana Mihaela Teodor, et al.
IEEE Access (2024) Vol. 12, pp. 116587-116608
Open Access
Mohamed El-Khatib, Dan Popescu, Oana Mihaela Teodor, et al.
IEEE Access (2024) Vol. 12, pp. 116587-116608
Open Access
Ovarian cancer data analysis using deep learning: A systematic review
Muta Tah Hira, Mohammad A. Razzaque, Mosharraf H. Sarker
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109250-109250
Open Access
Muta Tah Hira, Mohammad A. Razzaque, Mosharraf H. Sarker
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109250-109250
Open Access
Classification of Ovarian Cancer with Multimodal Data Using AI Technology– A Review
P Suma, K Suma, B P Lakshmishree, et al.
(2024), pp. 131-136
Closed Access
P Suma, K Suma, B P Lakshmishree, et al.
(2024), pp. 131-136
Closed Access
Differential Diagnosis of Thyroid Tumors Through Information Fusion from Multiphoton Microscopy Images Using Fusion Autoencoder
Harshith Reddy Kethireddy, A. Tejaswee, Lucian G. Eftimie, et al.
Lecture notes in computer science (2024), pp. 80-93
Closed Access
Harshith Reddy Kethireddy, A. Tejaswee, Lucian G. Eftimie, et al.
Lecture notes in computer science (2024), pp. 80-93
Closed Access
Deep Learning for Comparative Study of Ovarian Cancer Detection on Histopathological Images
William Olurotimi Falana, Ali Serener, Sertan Serte
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (2023), pp. 1-6
Closed Access | Times Cited: 1
William Olurotimi Falana, Ali Serener, Sertan Serte
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (2023), pp. 1-6
Closed Access | Times Cited: 1
