106 citations · 178 across the 4 of their papers we have counts for
4 papers
Knowing the Distance: Understanding the Gap Between Synthetic and Real Data For Face Parsing
Eli Friedman, Assaf Lehr, Alexey Gruzdev +4
The use of synthetic data for training computer vision algorithms has become increasingly popular due to its cost-effectiveness, scalability, and ability to provide accurate multi-…
HoloStain: Holographic virtual staining of individual biological cells
Yoav N. Nygate, Mattan Levi, Simcha K. Mirsky +6
Many medical and biological protocols for analyzing individual biological cells involve morphological evaluation based on cell staining, designed to enhance imaging contrast and en…
Six-pack off-axis holography
Moran Rubin, Gili Dardikman, Simcha K. Mirsky +2
We present a new holographic concept, named six-pack holography (6PH), in which we compress six off-axis holograms into a single multiplexed off-axis hologram without loss of magni…
TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set
Moran Rubin, Omer Stein, Nir A. Turko +6
We propose a new deep learning approach for medical imaging that copes with the problem of a small training set, the main bottleneck of deep learning, and apply it for classificati…