This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Canon Medical Systems Corporation, University of Iowa Research Foundation. 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: Innovations by Sampada Bhave in Machine Learning for Medical Imaging
Introduction
Sampada Bhave is an accomplished inventor based in Vernon Hills, IL (US). He has made significant contributions to the field of machine learning, particularly in the area of medical imaging. His innovative approach has led to the development of a patented method that enhances the performance of neural networks used for reconstructing medical images.
Latest Patents
Sampada Bhave holds a patent for a "System and method of refinement of machine learning network parameters for improved performance." This method involves a training stage where network parameter values of a neural network are learned to create a trained neural network. During a subsequent refinement stage, these learned values are refined to generate a refined neural network. The method applies input medical image data to the refined neural network to produce a reconstructed medical image, retaining the benefits of machine learning image reconstruction to achieve the desired results. He has 1 patent to his name.
Career Highlights
Throughout his career, Sampada has worked with notable organizations, including the University of Iowa Research Foundation and Canon Medical Systems Corporation. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research.
Collaborations
Some of his coworkers include Mathews Jacob and Aniket Pramanik. Their collective efforts have further advanced the research and development of machine learning applications in medical imaging.
Conclusion
Sampada Bhave's innovative work in refining machine learning techniques for medical imaging demonstrates his commitment to advancing technology in healthcare. His contributions are paving the way for improved diagnostic tools and better patient outcomes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile