Adam Wang

Assistant Professor of Radiology (Radiological Sciences Laboratory) and, by courtesy, of Electrical Engineering

Bio

My research group develops technologies for advanced x-ray and CT imaging, including artificial intelligence for CT acquisition, reconstruction, and image processing; spectral imaging, including photon counting CT (PCCT) and dual-layer flat-panel detectors; novel system and detector designs; and their applications in diagnostic imaging and image-guided procedures. I am also the Director of the Photon Counting CT Lab, Zeego Lab, and Tabletop X-Ray Lab.

I completed my PhD in Electrical Engineering at Stanford, developing strategies for maximizing the information content of dual energy CT and photon counting detectors. I then pursued a postdoctoral fellowship at Johns Hopkins in the I-STAR Lab, developing reconstruction and registration methods for x-ray based image-guided surgery. I was then a Senior Scientist at Varian Medical Systems, developing x-ray/CT methods for image-guided radiation therapy, before returning to Stanford in 2018, where I now lead a comprehensive research program in advanced x-ray and CT imaging systems and methods, with funding from NIH, DOD, DOE, and industry partners.

Academic Appointments

Assistant Professor, Radiology
Assistant Professor (By courtesy), Electrical Engineering
Member, Bio-X
Member, Cardiovascular Institute
Member, Wu Tsai Human Performance Alliance

Honors & Awards

Council of Early Career Investigators in Imaging, Academy for Radiology & Biomedical Imaging Research (2020)
Early Career Investigator in Imaging Travel Award, AAPM (2020)
Featured Cover Article, Medical Physics journal (2018)
Best in Physics (Imaging) abstract, American Association of Physicists in Medicine (AAPM) Annual Meeting (2016)
Featured Cover Article, Medical Physics journal (2015)
Jack Fowler Junior Investigator, winner, AAPM Annual Meeting (2014)
AAPM Research Seed Grant, American Association of Physicists in Medicine (2013)
NRSA Postdoctoral Fellowship, NIH (2013)
Graduate Community Award, Stanford Asian American Activities Center (2011)
Skilling Award for Outstanding Teaching Assistant in Electrical Engineering, Stanford University (2011)

Boards, Advisory Committees, Professional Organizations

Member, American Association of Physicists in Medicine (AAPM) (2013 - Present)

Professional Education

Postdoctoral Fellow, Johns Hopkins University, Biomedical Engineering (2014)
PhD, Stanford University, Electrical Engineering (2012)
MS, Stanford University, Electrical Engineering (2008)
BS, University of Texas at Austin, Electrical Engineering (2006)

Patents

Gerhard Kleinszig, Jeffrey Siewerdsen, Sebastian Vogt, Adam Wang. "United States Patent 10,022,098 Method and device for generating a low-dose X-ray image preview, imaging system and computer program product"
Adam Wang, Jeffrey Siewerdsen. "United States Patent 10,064,591 System, method and computer readable medium for preview of low-dose x-ray projection and tomographic images"
Josh Star-Lack, Adam Wang, Alexander Maslowski. "United States Patent 10,098,606 Automatic organ-dose-estimation for patient-specific computed tomography scans"
Alexander Maslowski, Adam Wang, Josh Star-Lack, Mingshan Sun, Todd Wareing. "United States Patent 10,327,727 Automatic estimating and reducing scattering in computed tomography scans"
Daniel Shedlock, Josh Star-Lack, Adam Wang. "United States Patent 10,330,798 Scintillating glass pixelated imager"
Jeffrey Siewerdsen, Yoshito Otake, Joseph Webster Stayman, Ali Uneri, Adam Wang, Sarah Ouadah. "United States Patent 10,478,148 Self-calibrating projection geometry for volumetric image reconstruction"
Pavlo Baturin, Adam Wang, Liangjia Zhu. "United States Patent 10,739,473 Image fusion in multi-layer flat panel imager"
Blake Gaderlund, Josh Star-Lack, John Van Heteren, Adam Wang. "United States Patent 10,960,232 Single-pass imaging and radiation treatment delivery via an extended rotation gantry"
John Van Heteren, Petr Jordan, Adam Wang, Josh Star-Lack. "United States Patent 10,967,202 Adaptive image filtering for volume reconstruction using partial image data"
Daniel Shedlock, Josh Star-Lack, Adam Wang. "United States Patent 11,079,499 Scintillating glass pixelated imager"
Pascal Paysan, Marcus Brehm, Adam Wang, Dieter Seghers, Josh Star-Lack. "United States Patent 11,173,324 Iterative image reconstruction in image-guided radiation therapy"
Pavlo Baturin, Adam Wang, Liangjia Zhu. "United States Patent 11,340,358 Image fusion in multi-layer flat panel imager"
Blake Gaderlund, Josh Star-Lack, John Van Heteren, Adam Wang. "United States Patent 11,583,704 Single-pass imaging and radiation treatment delivery via an extended rotation gantry"
Norbert Pelc, Adam Wang. "United States Patent 11,883,226 Focal spot shape for computed tomography"
Adam Wang, Debashish Pal, Abdullah-Al-Zubaer Imran, Sen Wang, Evan Zucker, Bhavik Patel. "United States Patent 12,002,204 Patient anatomy and task specific automatic exposure control in computed tomography"
Adam Wang, Debashish Pal, Abdullah-Al-Zubaer Imran, Sen Wang, Evan Zucker, Bhavik Patel. "United States Patent 12,067,715 Patient anatomy and task specific automatic exposure control in computed tomography"
Blake Gaderlund, Josh Star-Lack, John Van Heteren, Adam Wang. "United States Patent 12,285,635 Single-pass imaging and radiation treatment delivery via an extended rotation gantry"
Adam Wang, Norbert Pelc. "United States Patent 8,194,820 Optimal weights for measuring spectral x-ray data"

2025-26 Courses

Medical Imaging Systems I
BMP 269A, EE 369A (Spr)

Independent Studies
- Curricular Practical Training
  BMP 290 (Sum)
- Directed Reading in Radiology
  RAD 299 (Aut, Win, Spr, Sum)
- Graduate Research
  BMP 399 (Aut, Win, Spr, Sum)
- Graduate Research
  RAD 399 (Aut, Win, Spr, Sum)
- Undergraduate Research
  RAD 199 (Aut, Win, Spr, Sum)

Prior Year Courses

2024-25 Courses

Medical Imaging Systems I
BMP 269A, EE 369A (Spr)

2023-24 Courses

Medical Imaging Systems I
BMP 269A, EE 369A (Win)

2022-23 Courses

Biomedical Signals II
BMP 212, RAD 212 (Win)

Stanford Advisees

Postdoctoral Faculty Sponsor
Maria Jose Medrano Matamoros, Liyan Sun
Doctoral Dissertation Advisor (AC)
Alan Li

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