Clark & Crossan Endowed Chair Professor
Director, Biomedical Imaging Center
Biotech 3209, CBIS/BME/SoE, RPI
110 8th Street, Troy, NY12180, USA
https://www.linkedin.com/in/ge-wang-axis
Highlights
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First paper on spiral cone-beam/multi-slice CT (1991) to solve "the long object problem" (longitudinal data truncation). Modern CT scanners perform over 100-million scans annually, a majority of which are in the spiral cone-beam/multi-slice mode.
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Superiority of spiral fan-beam CT (1994) over step-and-shoot CT.
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Over 100 follow-up papers on spiral/helical cone-beam/multi-slice/fan-beam CT, with a high number of citations (Google Scholar).
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Bioluminescence tomography (2004) as a novel molecular imaging approach.
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Interior tomography (2007) to solve "the interior problem" (transverse data truncation). Interior tomography allows targeted imaging at low dose and fast speed.
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State-of-the-art multi-scale CT facility (2009) to perform nano-/micro-/conventional CT scans over six orders of magnitude in terms of image resolution and object size.
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Omni-tomography (2011) for spatio-temporal fusion of tomographic imaging modalities, with simultaneous CT-MRI as an example..
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Spectrography (2011) for 3D ultrahigh resolution tomographic reconstruction from scattering by multi-energy coherent radiation (In Focus News in Nature)
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Axiomatic bibliometrics (2013) to credit coauthors and rank institutions (in PNAS).
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Perspective article (2016) on machine learning based tomographic image reconstruction.
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First special issue (2018) dedicated to machine learning for image reconstruction.
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Competitive performance (2019) of modularized deep learning for low-dose CT imaging relative to commercial iterative reconstruction (In Nature Machine Intelligence).