Skip to Main content Open mobile menu Close mobile menu
Students win prizes for improving image processing techniques for liver cancer detection and much more
  1. Students win prizes for improving image processing techniques for liver cancer detection and much more

    Students in EECS 556: Image Processing, explore methods to improve image processing in applications such as biomedical imaging and video and image compression

  2. Seeing through materials

    By developing a fast algorithm to map out the paths light takes through yogurt, researchers aim to someday see through skin.

    The post Seeing through materials appeared first on Michigan Engineering News.

  3. Gopal Nataraj receives U-M Rackham Predoctoral Fellowship to support high-impact research in medical imaging

    Award for outstanding doctoral candidates near the end of their study.

  4. Ushering in the next generation of flat-panel displays and medical imagers

    Prof. Kanicki expects breakthroughs in both the flat-panel display and imager industries using his-ITZO TFT technology in the near future.

  5. Students earn prizes for improving image processing techniques in EECS 556 (Winter 2016)

    The course covers the theory and application of digital image processing, with applications in biomedical images, time-varying imagery, robotics, and optics.

  6. Amr Ibrahim earns Rackham Pre-Doctoral Fellowship for research in high millimeter wave radar systems

    Amr is investigating both the unique advantages and the performance limitations of radar systems operating at 240 GHz in typical outdoor environments.

  7. A better 3D camera with clear, graphene light detectors

    While 3D films are currently made using multiple cameras to reconstruct each frame, this new type of camera could record in 3D on its own.

  8. Jeff Fessler receives Distinguished Faculty Achievement Award

    Prof. Fessler has revolutionized medical imaging with groundbreaking mathematical models and algorithms that improve both safety and quality.

  9. Using data science to achieve ultra-low dose CT image reconstruction

    Ultra-low dose CT scans that provide superior image quality could not only benefit patients, but they could open up entirely new clinical applications.

  10. Next generation laser plasma accelerator

    One of the most promising avenues for achieving new target levels of high peak intensity and high average power in an ultrafast laser system is to turn to fiber lasers.