San Francisco, CA, United States of America

Ashwini Jha

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Innovations by Ashwini Jha in Dental Imaging Technology.

Introduction

Ashwini Jha is an innovative inventor based in San Francisco, CA. She has made significant contributions to the field of dental imaging through her groundbreaking patent. Her work focuses on utilizing artificial intelligence to enhance the accuracy of pixel spacing, distance, and volumetric predictions from dental images.

Latest Patents

Ashwini Jha holds a patent for an AI platform designed for pixel spacing, distance, and volumetric predictions from dental images. This machine learning model is trained to predict pixel spacing, distance, and volumetric measurements. The training images are obtained by inpainting around an original image and scaling the inpainted image to achieve a different pixel spacing than the original. The model includes an encoder, a transformer, a first TC layer, and a second TC layer. During training, loss is calculated by comparing the output of the first TC layer to a coarse pixel spacing matrix and the output of the second TC layer to a fine pixel spacing matrix. When utilized, the model can obtain the pixel spacing of an image and correct the image or measurements derived from it. Ashwini Jha has 1 patent to her name.

Career Highlights

Ashwini Jha is currently employed at Retrace Labs, where she continues to develop innovative solutions in dental imaging. Her expertise in machine learning and image processing has positioned her as a valuable asset in her field.

Collaborations

Some of her notable coworkers include Vasant Kearney and Wenxiang Deng, who contribute to the collaborative environment at Retrace Labs.

Conclusion

Ashwini Jha's contributions to dental imaging technology through her innovative patent demonstrate her commitment to advancing the field. Her work exemplifies the intersection of artificial intelligence and healthcare, paving the way for more accurate diagnostic tools.

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