This inventor holds 1 USPTO granted patent. Top assignee: Johns Hopkins University. Active years: 2014.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2014
Title: Saurabh Vyas: Innovator in Hyperspectral Imaging for Skin Conditions
Introduction
Saurabh Vyas is an accomplished inventor based in Odenton, MD (US). He has made significant contributions to the field of medical imaging, particularly in the detection of skin-related conditions. His innovative approach utilizes advanced technology to improve diagnostic methods.
Latest Patents
Saurabh Vyas holds a patent for a groundbreaking method titled "Hyperspectral imaging for detection of skin related conditions." This patent describes a method that employs a multiband hyperspectral sensor to obtain multi-spectral data. The process involves mapping constitutive skin parameters to corresponding spectral signatures through a forward model. This model generates a set of samples that include various parameters mapped to multiple spectral signatures. By utilizing machine learning, an inverse model is created to map a patient's spectral signature to corresponding skin parameters. Ultimately, this method estimates the constitutive skin parameters and determines their distribution across different skin locations. He has 1 patent to his name.
Career Highlights
Saurabh Vyas is affiliated with Johns Hopkins University, where he continues to advance his research and innovation in hyperspectral imaging. His work is pivotal in enhancing the understanding and detection of skin conditions, which can lead to better patient outcomes.
Collaborations
He collaborates with notable colleagues such as Philippe Martin Burlina and Amit Banerjee, contributing to a dynamic research environment that fosters innovation and discovery.
Conclusion
Saurabh Vyas is a prominent figure in the field of hyperspectral imaging, with a focus on improving the detection of skin-related conditions. His innovative methods and collaborations are paving the way for advancements in medical diagnostics.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
