Clark & Crossan Endowed Chair Professor
Director, Biomedical Imaging Center
Biotech 3209, CBIS/BME/SoE, RPI
110 8th Street, Troy, NY12180, USA
Director, Biomedical Imaging Center
Biotech 3209, CBIS/BME/SoE, RPI
110 8th Street, Troy, NY12180, USA
Highlights
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First paper on spiral/helical cone-beam/multi-slice CT (1991) solving "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. Many follow-up papers of ours on spiral/helical cone-beam/multi-slice/fan-beam CT, such as the superiority of spiral fan-beam CT over conventional step-and-shoot CT (1994) and the algorithm for triple-source helical cone-beam reconstruction (2010).
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Bioluminescence tomography (2004) for optical molecular tomography.
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Interior tomography (2007) solving "the interior problem" (transverse data truncation), allowing targeted imaging at low dose and fast speed.
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State-of-the-art multi-scale CT facility (2009) supporting 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 for tomographic imaging, which is the basis for the 1st TMI Special issue (2018) on this theme.
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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).
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IOP textbook on machine learning for tomographic reconstruction (410 pages, 2019).
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National Academy of Inventors (inducted for contributions to spiral cone-beam/multi-slice CT, 2019).
- In addition to many conference and arXiv papers, Dr. Wang has >500 journal publications, including >70 in IEEE journals, 3 in PNAS, 1 in Nature (also reported in Nature as “In Focus News”), 1 in J of Informetrics (reported in Science and Nature respectively), 1 in Phys. Rev. Letters, and 2 in Nature Machine Intelligence. According to Web of Science, h-index=53 on 03/13/20 with the rule: AU=(Wang G) AND AD=(Buffalo or St. Louis or Iowa City or Blacksburg or Troy) AND TS=(Tomography), and >100 issued and pending patents.