Ge Wang (Chinese: 王 革; born in 1957) is a medical imaging scientist focusing on computed tomography (CT) and artificial intelligence (AI) especially deep learning.

[1] Wang, a pioneer in the field of medical imaging, made contributions that initiated the development of the spiral cone-beam computed tomography (CT) during the early 1990s.

His work addressed the “long object problem,” which involves longitudinal data truncation in cone-beam CT scans.

His team also authored the first book on machine learning-based tomographic reconstruction, which garnered significant attention.

His team also explored omni-tomography to enable spatiotemporal fusion of tomographic modalities, including simultaneous CT-MRI.