PeopleofSuperintelligence

Researcher

James C. Gee

Also known as James Gee

James C. Gee is a professor of radiologic science and of computer and information science at the University of Pennsylvania, where he directs the Penn Image Computing and Science Laboratory and his group works on medical image analysis and radiological AI. Born and raised in Nigeria, he earned two bachelor's degrees and a master's at the University of Washington before completing a Penn PhD in computer and information science in 1996. His coauthored methods include the SyN image registration method in 2008 and the N4ITK bias-correction tool in 2010, and in 2021 he coauthored the paper describing ANTsX, whose extensions add deep learning models to the ANTs toolkit. Inducted as an AIMBE Fellow in 2018 and named a MICCAI Fellow in 2024, he has also directed Penn Engineering's online master's program in data science since 2022, and in 2026 he is a co-principal investigator on a Google.org grant that pilots the MedGemma model for lung-disease care in Botswana.

Timeline

  1. 1987–1996

    Washington degrees and a Penn PhD

    He earns bachelor's degrees in computer science and electrical engineering at the University of Washington in 1987 and a master's in electrical engineering there in 1989. He completes a PhD in computer and information science at the University of Pennsylvania in 1996, receiving an NIH R01 grant while pursuing dissertation research on brain mapping.

  2. 2008–2011

    SyN and the ANTs toolkit

    With Brian Avants and other coauthors, he develops the Symmetric Normalization (SyN) transformation model, published in 2008, which performs in the top rank across all tests of a 2009 comparison of registration algorithms by Klein and colleagues. In 2011, the team describes ANTs, an open-source package built on the Insight Toolkit with tools for image registration, template building and segmentation.

  3. 2010

    N4ITK bias correction

    In 2010, he coauthors N4ITK, an improved version of the N3 algorithm for bias field correction in images, with Nicholas Tustison, Brian Avants, Paul Yushkevich and other Penn radiology colleagues. The code, tests and documentation go public through the National Institutes of Health's Insight Toolkit.

  4. 2018

    An AIMBE fellowship

    In April 2018, as an associate professor of radiologic science and director of the Penn Image Computing and Science Laboratory, he is inducted into the AIMBE College of Fellows for contributions to advanced medical image registration and analysis methods. He has recently received two grants totaling $3.9 million to build a three-dimensional, cellular-resolution digital atlas of brain cell types with the Allen Institute for Brain Science, MIT, Harvard and UC San Diego.

  5. 2021

    Deep learning in ANTsX

    In April 2021, he coauthors the Scientific Reports paper describing ANTsX, the ecosystem built around the Advanced Normalization Tools library, which was founded in 2008 with Symmetric Normalization. Its ANTsRNet and ANTsPyNet extensions, built on TensorFlow and Keras, add trained deep learning models, including a pipeline that estimates cortical thickness from T1-weighted brain MRI.

  6. Since 2022

    Data science program director

    By June 2022, he is program director of Penn Engineering's new online Master of Science in Engineering in Data Science (MSE-DS Online). He still leads the program in January 2026, when he speaks to prospective students in a Focus on Faculty webinar.

  7. 2024

    A MICCAI fellowship

    The MICCAI Society names him a MICCAI Fellow in 2024, alongside Hayit Greenspan and Nicolas Padoy, for the development and open-source distribution of computational methods for medical imaging. In October 2025, he gives a MICCAI Fellows talk titled "From Atlases to Radiological AI."

  8. As of October 2026

    Radiological AI at Penn

    He is a professor of radiologic science in radiology and of computer and information science at the University of Pennsylvania, where he directs the Penn Image Computing and Science Laboratory and his group works on medical image analysis and radiological AI. Born and raised in Nigeria, he focuses new work on medical AI for low-resource settings across Africa. In April 2026, he and Ameena Elahi are named co-principal investigators on a $110,000 Google.org Health AI grant, awarded to Farouk Dako and Satvik Tripathi, that pilots Google's MedGemma model for AI-assisted triage and structured reporting of lung disease at partner sites in Botswana.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. James C. Gee | Faculty | About Us | Perelman School of Medicine | Perelman School of Medicine at the University of Pennsylvania med.upenn.edu. Checked 19 October 2026.
  2. Výnimoční vedci posúvajú Slovensko o krok vpred | ESET Science Award esetscienceaward.sk. Checked 19 October 2026.
  3. A Reproducible Evaluation of ANTs Similarity Metric Performance in Brain Image Registration pmc.ncbi.nlm.nih.gov. Checked 19 October 2026.
  4. N4ITK: Improved N3 Bias Correction pmc.ncbi.nlm.nih.gov. Checked 19 October 2026.
  5. Penn Radiology Researcher James Gee Inducted into Medical and Biological Engineering Elite | Newswise newswise.com. Checked 19 October 2026.
  6. James Gee: AIMBE College of Fellows | University of Pennsylvania Almanac almanac.upenn.edu. Checked 19 October 2026.
  7. The ANTsX ecosystem for quantitative biological and medical imaging | Scientific Reports nature.com. Checked 19 October 2026.
  8. Meet James C. Gee, MSE-DS Online Program Director | Penn Engineering engineering.upenn.edu. Checked 19 October 2026.
  9. FOCUS ON FACULTY: MSE-DS Online Program Director James Gee - Penn Engineering Online online.seas.upenn.edu. Checked 19 October 2026.
  10. Recognizing Outstanding Innovation and Dedication conferences.miccai.org. Checked 19 October 2026.
  11. Join the MICCAI Fellows Talk with Prof. James Gee - Oct 29, 2025 - MICCAI Society miccai.org. Checked 19 October 2026.
  12. P1 Guest Talk: From Atlases to Radiological AI | Event | Pioneer Centre for Artificial Intelligence aicentre.dk. Checked 19 October 2026.
  13. PC3I Faculty Farouk Dako and Fellow Satvik Tripathi Receive Google.org Health AI Grant to Advance Equitable Lung Disease Care - Penn Center for Cancer Care Innovation pc3i.upenn.edu. Checked 19 October 2026.