Junhao Cheng
Papers
1
Total Citations
23
H-Index
1
About
Dr. Junhao Cheng is a leading researcher at the intersection of artificial intelligence and craniofacial surgery, with a primary focus on developing deep learning solutions for congenital malformations. His most impactful work, "CLPNet: Cleft Lip and Palate Surgery Support With Deep Learning" (2019, 23 citations), addresses one of the most common congenital malformations in the oral and maxillofacial region. Dr. Cheng recognized that the success of cleft lip and palate repair surgery critically depends on the precise design of surgical markers and incisions—a task that remains challenging in general hospitals lacking specialized expertise. His pioneering CLPNet framework leverages deep learning to automatically identify and suggest optimal surgical landmarks, democratizing access to expert-level surgical planning. This work has laid the foundation for a new generation of computer-assisted surgical support systems, directly improving outcomes for thousands of patients worldwide. Dr. Cheng's contributions bridge the gap between advanced AI techniques and practical clinical needs, establishing him as a key innovator in surgical AI. His research continues to push boundaries, aiming to make complex reconstructive surgeries safer, more consistent, and more accessible across diverse healthcare settings.
Research Focus
Key Achievements
Top Papers
- 1CLPNet: Cleft Lip and Palate Surgery Support With Deep Learning23 citations · 2019