4 papers
PRISM: Distribution-Gated Flow Matching for Controllable Unpaired Image Translation
Elad Yoshai, Natan T. Shaked
Unpaired image-to-image translation must decide, per image, what to change and what to preserve without paired supervision. Many diffusion-based unpaired translators control preser…
CAFlow: Adaptive-Depth Single-Step Flow Matching for Efficient Histopathology Super-Resolution
Elad Yoshai, Ariel D. Yoshai, Natan T. Shaked
In digital pathology, whole-slide images routinely exceed gigapixel resolution, making computationally intensive generative super-resolution (SR) impractical for routine deployment…
Hierarchical Sparse Attention Framework for Computationally Efficient Classification of Biological Cells
Elad Yoshai, Dana Yagoda-Aharoni, Eden Dotan +1
We present SparseAttnNet, a new hierarchical attention-driven framework for efficient image classification that adaptively selects and processes only the most informative pixels fr…
Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention
Elad Yoshai, Gil Goldinger, Miki Haifler +1
In histological pathology, frozen sections are often used for rapid diagnosis during surgeries, as they can be produced within minutes. However, they suffer from artifacts and ofte…