Kiryat Ono, Israel

Ayelet Akselrod-Ballin

USPTO Granted Patents = 5 

Average Co-Inventor Count = 2.9

ph-index = 2

Forward Citations = 70(Granted Patents)


Location History:

  • Tel Aviv, IL (2019)
  • Kiryat Ono, IL (2014 - 2024)

Company Filing History:


Years Active: 2014-2024

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5 patents (USPTO):Explore Patents

Title: Ayelet Akselrod-Ballin: Innovator in Medical Imaging Technology

Introduction

Ayelet Akselrod-Ballin is a prominent inventor based in Kiryat Ono, Israel. She has made significant contributions to the field of medical imaging technology, holding a total of 5 patents. Her work focuses on enhancing the accuracy and efficiency of machine learning models in medical image analysis.

Latest Patents

One of her latest patents involves a method for identifying calcification lesions in contrast-enhanced images. This innovative approach trains a machine learning model by correlating calcifications depicted in both contrast-enhanced and non-contrast medical images. The method computes calcification parameters and labels the images accordingly, ultimately generating outcomes indicative of target calcification parameters. Another notable patent addresses systems and user interfaces for enhancing data utilized in machine-learning-based medical image review. This system improves machine learning accuracy by allowing users to classify images based on risk conditions associated with various objects in medical images.

Career Highlights

Ayelet has worked with notable organizations, including International Business Machines Corporation (IBM) and Children's Medical Center Corporation. Her experience in these institutions has contributed to her expertise in medical imaging and machine learning technologies.

Collaborations

Ayelet has collaborated with esteemed professionals in her field, including Leonid Karlinsky and Simon K Warfield. These partnerships have furthered her research and development efforts in medical imaging.

Conclusion

Ayelet Akselrod-Ballin is a trailblazer in the realm of medical imaging technology, with her innovative patents paving the way for advancements in machine learning applications. Her contributions continue to impact the medical field positively.

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