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Jun 20, 2024 (publication date) through Apr 8, 2026
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World Journal of Methodology
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2222-0682
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Cited by in CrossRef
For: Sinha S, Ramesh PV, Nishant P, Morya AK, Prasad R. Novel automated non-invasive detection of ocular surface squamous neoplasia using artificial intelligence. World J Methodol 2024; 14(2): 92267 [PMID: 38983656 DOI: 10.5662/wjm.v14.i2.92267]
URL: https://www.wjgnet.com/2222-0682/full/v14/i2/92267.htm
Number Citing Articles
1
Raghuram V. Reddy, Joshua Ong, Ryung Lee, Ritu Sampige, Ethan Waisberg, C.Robert Gibson, John Berdahl, Thomas H. Mader. Space radiation and risk for ocular surface malignancies: Exposure risk, current mitigation strategies, and management considerations for a mission to Mars. Life Sciences in Space Research 2025; 47: 69 doi: 10.1016/j.lssr.2025.06.002
2
Bala Weslin D, S. Sophia. Automated Blood Group Detection System Using Image Processing for Non-Invasive Antigen Feature Extraction and Classification. 2025 International Conference on Visual Analytics and Data Visualization (ICVADV) 2025; : 736 doi: 10.1109/ICVADV63329.2025.10961852
3
Luca Michelutti, Alessandro Tel, Massimo Robiony, Edoardo Agosti, Tamara Ius, Giuseppe Catapano, Caterina Gagliano, Marco Zeppieri. Applications of Artificial Intelligence in the Study and Diagnosis of Orbital Pathologies: State of the Art and Future Directions. Applied Sciences 2025; 15(13): 7122 doi: 10.3390/app15137122
4
Rie Sakata, Taiyo Shijo, Yuta Ueno, Masahiro Oda, Yoshiyuki Kitaguchi, Yosuke Taki, Hiroki Maehara, Ryohei Nejima, Kazunori Miyata, Takenori Inomata, Hideki Fukuoka, Dai Miyazaki, Hisashi Noma, Kensaku Mori, Takefumi Yamaguchi. Deep Learning-Based Diagnostic Model for Ocular Surface Neoplastic Diseases. American Journal of Ophthalmology 2026; 286: 184 doi: 10.1016/j.ajo.2026.02.033
5
Ehimare Enaholo, Godwin Okoye, Mutali Musa, Ayuba Suleman, Oluwasola Ojo, Roberta Foti, Fabiana D’Esposito, Rosa Giglio, Daniele Tognetto, Caterina Gagliano, Marco Zeppieri. High-resolution optical coherence tomography for screening ocular surface tumors: Historical markers and future directions. World Journal of Clinical Cases 2025; 13(29): 108046 doi: 10.12998/wjcc.v13.i29.108046
6
Rajwinder Kaur, Arvind Kumar Morya, Parul C Gupta, Sarita Aggarwal, Nitin K Menia, Amanjot Kaur, Sukhchain Kaur, Sony Sinha. Artificial intelligence-based apps for screening and diagnosing diabetic retinopathy and common ocular disorders. World Journal of Methodology 2025; 15(4): 107166 doi: 10.5662/wjm.v15.i4.107166
7
Rolika Bansal, Santosh G Honavar. Oncological principles in the management of ocular surface squamous neoplasia - A Review. Indian Journal of Ophthalmology 2025; 73(2): 173 doi: 10.4103/IJO.IJO_2340_24
8
Farshid Ramezani, Hossein Azimi, Behrouz Delfanian, Mobina Amanollahi, Jamshid Saeidian, Ahmad Masoumi, Hossein Farrokhpour, Elias Khalili Pour, Mehdi Khodaparast. Classification of ocular surface diseases: Deep learning for distinguishing ocular surface squamous neoplasia from pterygium. Graefe's Archive for Clinical and Experimental Ophthalmology 2025; 263(8): 2289 doi: 10.1007/s00417-025-06804-x
9
Hamidreza Ghanbari, Nikoo Bayan, Shakiba Rahimi, Farhad Salari, Mohammadreza Toghyani DolatAbadi, Mohammad Soleimani. Artificial Intelligence in Ocular Surface Tumors: Current Advances, Challenges, and Future Directions. Diagnostics 2026; 16(7): 1103 doi: 10.3390/diagnostics16071103
10
Leendert Dekker, Jan F. Olivier, Klaus von Pressentin. The critical role of primary care clinicians in the early detection of ocular surface squamous neoplasia. South African Family Practice 2025; 67(1) doi: 10.4102/safp.v67i1.6065
11
Muhammad Shahbaz, Muhammad Qasim, Ghulam Muhammad, Ahmed Abbas Hashmi, Paweł Łajczak. The Role of Artificial Intelligence in the Diagnosis of Ocular Surface Squamous Neoplasia: a systematic review and meta-analysis. Optometría Clínica y Ciencias de la Visión 2026; 5(1): 10 doi: 10.71413/anhkzh25
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