This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Verily Health Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Daniel Freedman and Medical Image Reconstruction.
Introduction
Daniel Freedman is an inventor based in Zikhron Yaaqov, Israel. His work includes a patent for visualizing uncertainty in medical image reconstruction.
Latest Patents
Freedman is associated with 1 patent, titled “Masking Model for Visualizing Uncertainty in Image-to-Image Reconstruction.” The patent describes methods and systems for processing medical image data. These methods receive medical image data, generate a reconstructed image, and use a pretrained machine-learning model to create a mask from the original data and reconstruction. The mask is then applied to the reconstructed image and can represent at least three uncertainty levels across multiple pixels.
Career Highlights
Freedman’s patent work addresses uncertainty visualization in reconstructed medical images, offering a way to represent varying levels of confidence within an image. He is associated with Verily Health Inc.
Collaborations
Freedman’s listed coworkers include Regev Cohen and Gilad Kutiel.
Conclusion
Daniel Freedman’s patent focuses on using machine learning to make uncertainty in medical image reconstruction visible through a multilevel mask.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile