PeopleofSuperintelligence

Researcher

Kevin Smith

Also known as Kevin Christopher Smith, K. C. SMITH, K. C. Smith, K. Smith, KEVIN C. SMITH, Kevin C Smith

Kevin Smith is a computer-vision researcher whose work spans biological microscopy, cell screening and clinical imaging. He coauthored work on SLIC superpixels, active learning for high-content screens, the CIDRE microscopy method and a computer-vision study of neurite outgrowth dynamics; his later studies addressed mammography-based breast-cancer risk and AI-based selection for supplemental MRI. In 2025, he led KTH's Computer Vision and Biomedical Image Analysis group and directed the Bioimage Informatics Facility node in Solna; he previously held research positions at ETH Zürich and EPFL. As of October 2026, he is a professor at KTH and works on an AI project for ovarian-tumor diagnosis.

Timeline

  1. 2012

    SLIC superpixel methods

    In 2012, he coauthors the SLIC paper, which compares superpixel methods for computer vision.

  2. 2014

    Active learning for screens

    In 2014, he coauthors active-learning strategies for phenotypic profiling of high-content screens.

  3. 2015

    CIDRE corrects microscopy images

    In 2015, he coauthors CIDRE, an illumination-correction method for optical microscopy.

  4. 2016

    Computer vision and neurite outgrowth

    In 2016, he coauthors a computer-vision study of neurite outgrowth dynamics and Rho GTPase signaling.

  5. 2021

    Mammography-based risk models

    In 2021, he coauthors “Toward robust mammography-based models for breast cancer risk” in Science Translational Medicine.

  6. 2024

    ScreenTrustMRI trial

    In 2024, he coauthors the randomized ScreenTrustMRI trial on AI-based selection for supplemental MRI in population-based breast-cancer screening.

  7. 2025

    Group leadership at KTH

    In 2025, he leads KTH's Computer Vision and Biomedical Image Analysis group and directs the Bioimage Informatics Facility node in Solna. Before he joins KTH, he holds research positions at ETH Zürich and EPFL.

  8. As of October 2026

    Professor and ovarian-cancer AI

    As of October 2026, he is a professor at KTH. In May 2026, he works with Region Stockholm and Karolinska Institutet on an AI project that explores combining ultrasound imaging and advanced blood tests for ovarian-tumor diagnosis.

Career

  1. Since 2025KTH Royal Institute of TechnologyGroup Leader
  2. 2025Bioimage Informatics FacilityDirector

From the biography.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes KTH Royal Institute of Technology. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes KTH Royal Institute of Technology. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. 11% of AI doctorate holders from 2010 to 2016 founded or led a company or lab by 10 years after graduationIncludes KTH Royal Institute of Technology. We estimate how often AI doctorate holders founded or led a company or lab by 10 years after graduation, how waiting times compare between founders and top jobs, and which universities trained the most.
  4. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes KTH Royal Institute of Technology. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Kevin Smith - SciLifeLab scilifelab.se. Checked 21 October 2026.
  2. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods (2012) – IEEE Transactions on Pattern Analysis and Machine Intelligence | Metascience Observatory Explorer explore.metascienceobservatory.org. Checked 21 October 2026.
  3. Publications by Kevin Smith | KTH kth.se. Checked 21 October 2026.
  4. Kevin Smith | Professor in Computer Vision and Biomedical Image Analysis | KTH kth.se. Checked 21 October 2026.
  5. More Accurate Diagnosis of Ovarian Cancer with AI | KTH kth.se. Checked 21 October 2026.