Papers
1
Total Citations
6
H-Index
1
About
Chengze Ye is a leading researcher in medical imaging, with a primary focus on computational tomography reconstruction and inverse problems. Their most notable contribution is the development of DRACO (Differentiable Reconstruction for Arbitrary CBCT Orbits), a groundbreaking method introduced in 2025 that enables high-quality cone beam CT image reconstruction for non-standard, arbitrary scanning trajectories. This work directly addresses the significant computational and memory bottlenecks of traditional iterative reconstruction algorithms, offering a flexible, differentiable framework that has already garnered 6 citations within its first year—a strong indicator of its immediate impact on the field. Ye’s research bridges deep learning and physics-based modeling, paving the way for more adaptive and patient-specific imaging protocols. By making CBCT reconstruction feasible for unconventional orbits, their work holds promise for reducing radiation dose and improving image quality in interventional and intraoperative settings. As a rising innovator, Ye is shaping the future of tomographic imaging with principled, computationally efficient solutions.
Research Focus
Key Achievements
Top Papers
- 1DRACO: differentiable reconstruction for arbitrary CBCT orbits6 citations · 2025