Mr. Yang He | Cerebral Edema | Best Researcher Award 

Mr. Yang He | Cerebral Edema – Chengdu University of Traditional Chinese Medicine , China

Mr. Yang He is an accomplished researcher specializing in maxillofacial imaging, artificial intelligence in medical diagnostics, and craniofacial reconstruction techniques. His innovative approach integrates deep learning algorithms with medical imaging to enhance automated detection, segmentation, and reconstruction of craniofacial structures. With a strong academic background and numerous contributions to high-impact journals, he is a recognized expert in computer-aided maxillofacial surgery and AI-driven medical applications. His research has significantly advanced the understanding of zygomatic fractures, mandibular injuries, and temporomandibular joint disorders, making him a deserving candidate for the Best Researcher Award.

Professional Profile

ORCID

Education

Mr. Yang He pursued his academic journey at Chengdu University of Traditional Chinese Medicine, where he honed his expertise in oral and maxillofacial surgery, medical imaging, and biomedical engineering. His rigorous training equipped him with the skills to integrate artificial intelligence and computational modeling into maxillofacial diagnostics and treatment planning. He has further enhanced his knowledge through various advanced courses in deep learning, medical image processing, and computational anatomy.

Experience

Mr. Yang He has held multiple research positions in renowned medical institutions and has collaborated with leading experts in oral and maxillofacial surgery. His professional experience includes:

• Research Assistant in AI-driven medical imaging projects, focusing on automated segmentation and classification of craniofacial bone structures.
• Lead Investigator in studies developing deep convolutional neural networks for detecting mandibular and zygomatic fractures.
• Technical Consultant for projects implementing transformer-based networks for unsupervised medical image registration.
• Assistant Counselor mentoring young researchers in AI applications in medical imaging. His contributions have played a pivotal role in advancing precision medicine and digital reconstruction techniques in maxillofacial surgery.

Research Interests

Mr. Yang He’s research is centered on artificial intelligence in medical imaging, particularly in the following areas:

• Deep learning for automated detection of maxillofacial fractures 🦷
• Medical image registration and segmentation 🏥
• Computer-aided design (CAD) for facial reconstruction 🖥️
• Biomechanical analysis of craniofacial structures 🧠
• Development of AI-assisted virtual surgical planning 👨‍⚕️ His work has contributed to reducing diagnostic errors, improving treatment outcomes, and optimizing surgical precision in oral and maxillofacial surgery.

Awards & Recognitions

• Outstanding Young Researcher Award, Chengdu University of Traditional Chinese Medicine 🎖️
• Best Paper Award at the International Conference on Medical Imaging and AI 🏆
• Recipient of National Medical Research Grant for AI-assisted craniofacial reconstruction 💡
• Honored as Top 10 Innovators in Digital Dentistry by a leading maxillofacial journal 📜
• Excellence in Medical Imaging Research by the Chinese Society of Oral and Maxillofacial Surgery 🏅

Selected Publications

Automatic segmentation of the midfacial bone surface from ultrasound images using deep learning methods 🦷

Automatic virtual reduction of unilateral zygomatic fractures based on ICP algorithm: A preliminary study 🏥

UTSRMorph: A Unified Transformer and Superresolution Network for Unsupervised Medical Image Registration 📊

Craniomaxillofacial Bone Segmentation and Landmark Detection Using Semantic Segmentation Networks and an Unbiased Heatmap 📌

Is Convolutional Neural Network Accurate for Automatic Detection of Zygomatic Fractures on Computed Tomography? 🖥️

Detection and classification of mandibular fracture on CT scan using deep convolutional neural network 🏅

Automatic virtual reconstruction of maxillofacial bone defects assisted by ICP algorithm and normal people database 🦷

Conclusion

Mr. Yang He has made remarkable contributions in the field of oral and maxillofacial surgery, AI-driven medical imaging, and computer-aided surgical planning. His cutting-edge research has paved the way for more precise, efficient, and minimally invasive treatment approaches. His leadership, innovation, and dedication make him an outstanding candidate for the Best Researcher Award. As he continues to advance his work, his breakthroughs in deep learning and medical diagnostics will further revolutionize digital healthcare. His contributions are not only shaping the future of maxillofacial surgery but also enhancing patient care through intelligent, data-driven solutions. 🏆