Avner Shultzman

Title: Avner Shultzman and Neural-Network-Based Medical Imaging

Introduction

Avner Shultzman is an inventor based in Rehovot, Israel. His work includes a patent for a medical imaging system that uses nonlinear waveform inversion and a recurrent neural network to recover physical properties of a nonlinear medium.

Latest Patents

Shultzman is associated with 1 patent, titled “Medical Imaging with Nonlinear Waveform Inversion (NLWI) System Using Recurrent Neural Network.” The invention describes a system that models a wave field produced by a transmitted pulse traveling through a nonlinear medium and predicts the resulting transducer output. A neural network represents the nonlinear wave function and its relationship to the physical properties of the wave field.

The system compares the predicted transducer output with a measured output and optimizes a loss function to improve its estimate of the medium’s physical properties. It then uses backpropagation to update those properties and repeats the modeling process. Once the adjustment process is complete, the system outputs the improved property estimates.

Career Highlights

Shultzman is associated with Yeda Research and Development Co. Ltd., which supports the development and commercialization of research-based technologies. His patent connects neural-network methods with medical imaging and the analysis of wave behavior in nonlinear media.

Collaborations

Shultzman’s listed coworker is Yonina Eldar. Their association reflects collaboration around research and innovation in areas related to signal processing and imaging.

Conclusion

Avner Shultzman’s patent presents a neural-network approach to recovering physical properties from nonlinear media, highlighting the potential of computational methods to advance medical imaging.