All Stories

  1. Dictionary learning for data recovery in positron emission tomography

    Article • Physics in Medicine and Biology, July 2015, Institute of Physics Publishing

    Mr John Stevens

  2. Using compressive sensing to recover images from PET scanners with partial detector rings

    Article • Medical Physics, January 2015, American Association of Physicists in Medicine (AAPM)

    Mr John Stevens

  3. MO-G-17A-05: PET Image Deblurring Using Adaptive Dictionary Learning

    Article • Medical Physics, June 2014, American Association of Physicists in Medicine (AAPM)

    Mr John Stevens

  4. SU‐E‐I‐83: Evaluation of Penalizing Functions in Compressed Sensing to Recover Undersampled Data in PET Imaging

    Article • Medical Physics, June 2013, American Association of Physicists in Medicine (AAPM)

    Mr John Stevens

  5. MO‐D‐141‐05: Dictionary Learning in Compressed Sensing Using Undersampled Data in PET Imaging

    Article • Medical Physics, June 2013, American Association of Physicists in Medicine (AAPM)

    Mr John Stevens

  6. Image recovery in PET scanners with partial detector rings using compressive sensing

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Mr John Stevens

  7. WE-C-217BCD-09: Compressed Sensing in PET Imaging with Partial Detector Rings

    Article • Medical Physics, January 2012, American Association of Physicists in Medicine (AAPM)

    Mr John Stevens

  8. A new approach in decomposition over multiple-overcomplete dictionaries with application to image inpainting

    Article • September 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Mr John Stevens

  9. Speaker-Independent Vowel Recognition in Persian Speech

    Article • April 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Mr John Stevens

  10. Face Detection Using Adaboosted RVM-based Component Classifier

    Article • September 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Mr John Stevens

  11. Image Denoising Using Sparse Representations

    Article • Springer Science + Business Media

    Mr John Stevens