5 citations · 7 across the 3 of their papers we have counts for
3 papers
eess.IV2025★ 1 cited
An Integrated AI-Enabled System Using One Class Twin Cross Learning (OCT-X) for Early Gastric Cancer Detection
Xian-Xian Liu, Yuanyuan Wei, Mingkun Xu +9
Early detection of gastric cancer, a leading cause of cancer-related mortality worldwide, remains hampered by the limitations of current diagnostic technologies, leading to high ra…
eess.IV2024★ 1 cited
Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach
Xian-Xian Liu, Mingkun Xu, Yuanyuan Wei +8
Timely and precise classification and segmentation of gastric bleeding in endoscopic imagery are pivotal for the rapid diagnosis and intervention of gastric complications, which is…
q-bio.QM2024★ 5 cited
Artificial Intelligence Enhanced Digital Nucleic Acid Amplification Testing for Precision Medicine and Molecular Diagnostics
Yuanyuan Wei, Xianxian Liu, Changran Xu +4
The precise quantification of nucleic acids is pivotal in molecular biology, underscored by the rising prominence of nucleic acid amplification tests (NAAT) in diagnosing infectiou…