Xiong-Biao Luo

Xiamen University

Papers

1

Total Citations

7

H-Index

1

About

Dr. Xiong-Biao Luo is a leading researcher at the intersection of artificial intelligence and gastrointestinal oncology, with a primary focus on deep learning applications for colorectal cancer diagnosis. His most-cited work, "Deep learning driven colorectal lesion detection in gastrointestinal endoscopic and pathological imaging" (2021), addresses the critical challenge of early colorectal cancer detection—the second most common malignancy and fourth leading cause of cancer deaths in China. By developing AI-driven methods for analyzing both endoscopic and pathological images, Dr. Luo’s research directly targets improving the 5-year survival rate through earlier diagnosis, thereby reducing medical costs and treatment burdens. His contributions have garnered significant attention, with his key paper accumulating 7 citations, reflecting growing interest in computer-aided diagnosis for gastrointestinal diseases. Dr. Luo’s work bridges the gap between cutting-edge machine learning and clinical practice, offering scalable solutions for lesion detection that could transform screening protocols. His research is particularly impactful in resource-limited settings, where automated analysis can assist overburdened pathologists and endoscopists, ultimately aiming to reduce colorectal cancer mortality through timely intervention.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Deep learning driven colorectal lesion detection in gastrointestinal endoscopic and pathological imaging
7 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Xiamen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago