Chicago, IL, United States of America

Varun Gulshan

USPTO Granted Patents = 2 


Average Co-Inventor Count = 12.0

ph-index = 1


Company Filing History:


Years Active: 2021-2023

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Varun Gulshan: Innovator in Machine Learning for Medical Imaging

Introduction

Varun Gulshan is a prominent inventor based in Chicago, IL (US). He has made significant contributions to the field of medical imaging through his innovative use of machine learning technologies. With a total of 2 patents, his work focuses on enhancing the analysis of fundus images, which are crucial for diagnosing various eye conditions.

Latest Patents

Varun's latest patents revolve around the processing of fundus images using machine learning models. These patents describe methods, systems, and apparatuses, including computer programs encoded on computer storage media, for processing fundus images. One of the key methods involves obtaining a model input that comprises one or more fundus images, each representing the fundus of a patient's eye. The model input is then processed using a fundus image processing machine learning model, which is designed to generate a model output. This output is subsequently processed to produce health analysis data, providing valuable insights into the patient's eye health.

Career Highlights

Varun is currently employed at Google Inc., where he continues to push the boundaries of technology in the medical field. His work is instrumental in developing advanced solutions that leverage machine learning to improve healthcare outcomes.

Collaborations

Some of Varun's notable coworkers include Lily Hao Yi Peng and Dale R Webster. Their collaborative efforts contribute to the innovative environment at Google Inc., fostering advancements in medical imaging technologies.

Conclusion

Varun Gulshan stands out as a key figure in the intersection of technology and healthcare, particularly through his innovative patents in machine learning for fundus image processing. His contributions are paving the way for improved diagnostic methods in ophthalmology.

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