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Cited by in CrossRef
For: Zhang HG, Jiang YT, Dai SD, Li L, Hu XN, Liu RZ. Application of intelligent algorithms in Down syndrome screening during second trimester pregnancy. World J Clin Cases 2021; 9(18): 4573-4584 [PMID: 34222424 DOI: 10.12998/wjcc.v9.i18.4573]
URL: https://www.wjgnet.com/2307-8960/full/v9/i18/4573.htm
Number Citing Articles
1
Trung Kien Tran, Chi Thanh Nguyen, Nhu Hai Phung, Thi Thu Hang Truong, Danh Cuong Tran, Thi Trang Nguyen, Thi Minh Phuong Le. Evaluation of Synthetic Data Generating Methods in Down Syndrome Prediction During the First Trimester Screening in Vietnam2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR) 2022; : 1 doi: 10.1109/MAPR56351.2022.9924885
2
Yongchun Liu. Design and Implementation of Group Video Animation Based on Intelligent Algorithm2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST) 2022; : 1049 doi: 10.1109/IAECST57965.2022.10062194
3
Nhu Hai Phung, Chi Thanh Nguyen, Trung Kien Tran, Thi Thu Hang Truong, Danh Cuong Tran, Thi Trang Nguyen, Duc Huy Do. A Combination of Multi-Branch CNN and Feature Rearrangement for Down Syndrome Prediction2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) 2023; : 001 doi: 10.1109/ICAIIC57133.2023.10067118
4
Xianfeng Xu, Liping Wang, Xiaohong Cheng, Weilin Ke, Shenqiu Jie, Shen Lin, Manlin Lai, Linlin Zhang, Zhenzhou Li. Machine learning-based evaluation of application value of the USM combined with NIPT in the diagnosis of fetal chromosomal abnormalitiesMathematical Biosciences and Engineering 2022; 19(4): 4260 doi: 10.3934/mbe.2022197
5
Aabid Mustafa Koul, Faisel Ahmad, Abida Bhat, Qurat-ul Aein, Ajaz Ahmad, Aijaz Ahmad Reshi, Rauf-ur-Rashid Kaul. Unraveling Down Syndrome: From Genetic Anomaly to Artificial Intelligence-Enhanced DiagnosisBiomedicines 2023; 11(12): 3284 doi: 10.3390/biomedicines11123284