معرفی
Tamas Ungi is a Research Associate and Adjunct Assistant Professor at Queen's University, focusing on medical imaging, computer-assisted surgery, and biomedical engineering. His work bridges artificial intelligence applications with clinical needs in oncology, urology, and surgical education.
- Queen's University
His research interests center on:
- 3D ultrasound imaging
- Surgical navigation systems
- Machine learning for medical diagnostics
- Tumor margin assessment
- Surgical skill evaluation
- Image-guided interventions
Recent publications highlight advancements in radiation-free pediatric scoliosis assessment, AI-driven surgical evaluation metrics, and real-time ultrasound segmentation for breast-conserving surgery. He also explores electromagnetic tracking systems and NURBS-based surgical planning tools.
۰مقاله ثبتشده
