Hiroshi Ishikawa ,

  • Professor of Ophthalmology and Biomedical Engineering


I am the director of the Ocular Imaging Center at NYU Langone Eye Center. My research focuses on developing and applying new signal/image processing techniques to denoise, enhance, segment, and analyze various aspects of clinical imaging outcomes. We aim to explore and establish comprehensive and cohesive relationships between image-based analysis and real-life clinical findings.

I have over 23 years of experience in structural, metabolic, and functional imaging research of the eye in humans and animal models of glaucoma and other visual impairments.

I completed medical school at Mie University School of Medicine (Mie, Japan) in 1989. After completion of glaucoma fellowship in Japan, I became a glaucoma research fellow under Dr. Robert Ritch at New York Eye & Ear Infirmary. I won The David Warfield Fellowship in Ophthalmology of The New York Community Trust and The New York Academy of Medicine in 1997. I was appointed as an Assistant Professor of Ophthalmology at New York Medical College in 1998, at Tufts University in 2002, and at the University of Pittsburgh in 2003. I am currently Professor of Ophthalmology at New York University.

My research yielded 19 intellectual properties; 9 US patents allowed, 2 US patents pending, and 8 copyrights. I am recognized as the first inventor of the detailed macular retinal layer segmentation of OCT images.

Ongoing research projects:

  • Deep Learning Approaches for Personalized Modeling and Forecasting of Glaucomatous Changes – Developing prediction models of the complicated glaucoma progression using feature agnostic deep learning approaches.
  • OCT Image Atlas Building – Developing a method to generate OCT image atlas (normalized group template of OCT images) in order to analyze morphological deformation of the human retina under various conditions.
  • In vivo Oxygen Saturation Measurements Using Visible Light OCT – Developing a method to measure oxygen saturation level within retinal blood vessels in vivo, which may lead to new biomarkers for various ocular pathologies.

Research Interests: Biomedical imaging, Optical coherence tomography (OCT), Artificial intelligence, Deep learning, Visual system, Eye, Glaucoma, Signal and image processing